biostatistics phd programs online

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About the PhD in Biostatistics Program

The PhD in Biostatistics provides training in the theory of probability and statistics in biostatistical methodology. The program is unique in its emphasis on the foundations of statistical reasoning and data science. Students complete rigorous training in real analysis-based probability and statistics, equivalent to what is provided in most departments of mathematical statistics and in advanced data science.

PhD candidates are required to pass a comprehensive written examination covering coursework completed at the end of their first year. Research leading to a thesis may involve development of new theory and methodology, or it may be concerned with applications of statistics and probability to problems in public health, medicine or biology.

Application Fee Waivers: We are able to offer a limited number of application fee waivers. Learn about the eligibility criteria and how to apply for a waiver .

PhD in Biostatistics Program Highlights

Conduct and publish original research.

on the theory and methodology of biostatistics

Apply innovative theory and methods

to the solution of public health problems

Serve as an expert biostatistician

on collaborative teams of investigators addressing key public health questions

Teach biostatistics effectively

to health professionals and scientists as well as to graduate students in biostatistics

What Can You Do With a PhD In Biostatistics?

Visit the Graduate Employment Outcomes Dashboard to learn about Bloomberg School graduates' employment status, sector, and salaries. We have over 750 global alumni working in academia, government, and industry.

Sample Careers and Next Steps

• Tenure Track Faculty (e.g. Assistant Professor)
• Postdoctoral Fellow
• Data Scientist
• Statistician
• Biostatistician
• Machine Learning Engineer
• Mathematical Statistician
• Principal Investigator

Curriculum for the PhD in Biostatistics

Browse an overview of the requirements for this PhD program in the JHU  Academic Catalogue  and explore all course offerings in the Bloomberg School  Course Directory .

Admissions Requirements

For general admissions requirements, please visit the How to Apply page. This specific program also requires:

Prior Coursework

Calculus and linear algebra; accepted applicants are also strongly encouraged to take real analysis before matriculating

Standardized Test Scores

Standardized test scores are  not required and not reviewed  for this program. If you have taken a standardized test such as the GRE, GMAT, or MCAT and want to submit your scores, please note that they will not be used as a metric during the application review.  Applications will be reviewed holistically based on all required application components.

Vivien Thomas Scholars Initiative

The  Vivien Thomas Scholars Initiative (VTSI)  is an endowed fellowship program at Johns Hopkins for PhD students in STEM fields. It provides full tuition, stipend, and benefits while also providing targeted mentoring, networking, community, and professional development opportunities. Students who have attended a historically Black college and university (HBCU) or other minority serving institution (MSI) for undergraduate study are eligible to apply. To be considered for the VTSI, you will need to submit a SOPHAS application ,VTSI supplementary materials, and all supporting documents (letters, transcripts, and test scores) by December 1, 2024. VTSI applicants are eligible for an  application fee waiver , but the fee waiver must be requested by November 15, 2024 and prior to submission of the SOPHAS application.

Per the Collective Bargaining Agreement (CBA) with the JHU PhD Union, the minimum guaranteed 2025-2026 academic year stipend is $50,000 for all PhD students with a 4% increase the following year. Tuition, fees, and medical benefits are provided, including health insurance premiums for PhD student’s children and spouses of international students, depending on visa type. The minimum stipend and tuition coverage is guaranteed for at least the first four years of a BSPH PhD program; specific amounts and the number of years supported, as well as work expectations related to that stipend will vary across departments and funding source. Please refer to the CBA to review specific benefits, compensation, and other terms.

Need-Based Relocation Grants

Students who  are admitted to PhD programs at JHU starting in Fall 2023 or beyond can apply to receive a need-based grant to offset the costs of relocating to be able to attend JHU.   These grants provide funding to a portion of incoming students who, without this money, may otherwise not be able to afford to relocate to JHU for their PhD program. This is not a merit-based grant. Applications will be evaluated solely based on financial need.  View more information about the need-based relocation grants for PhD students .

Questions about the program? We're happy to help. 

Academic Administrator Mary Joy Argo 410-614-4454 [email protected]

• Current Students

Biostatistics PhD

Many issues in the health, medical and biological sciences are addressed by collecting and exploring relevant data. The development and application of techniques to better understand such data is a fundamental concern of our program.

This program offers training in the theory of statistics and biostatistics, computer implementation of analytic methods and opportunities to use this knowledge in areas of biological/medical research. The resources of Berkeley Public Health and the UC Berkeley Department of Statistics, together with those of other university departments, offer a broad set of opportunities to satisfy the needs of individual students. Furthermore, the involvement of UCSF faculty from the Department of Biostatistics and Epidemiology also enriches instructional and research activities.

A PhD degree in Biostatistics requires a program of courses selected from biostatistics, statistics, and at least one other subject area (such as environmental health, epidemiology, or genomics), an oral qualifying examination, and a dissertation. Courses cover traditional topics as well as recent advances in biostatistics and statistics. Those completing the PhD will have acquired a deep knowledge and understanding of the MA subject areas. Since graduates with doctorates often assume academic research and teaching careers, a high degree of mastery in research design, theory, methodology, and execution is expected, as well as the ability to communicate and present concepts in a clear, understandable manner.

The PhD degree program requires 4–6 semesters of coursework, the completion of the qualifying examination and dissertation (in total, a minimum of four semesters of registration is required). Biostatistics PhD students are required to take the following classes:

• PBHLTH W200 Foundations of Public Health Practice (Required for students who do not have a Master’s or Doctoral degree from an accredited School of Public Health)
• STAT 210A Theoretical Statistics or STAT 210B Theoretical Statistics
• PBHLTH C240A Introduction to Modern Biostatistics Theory and Practice or PBHLTH C240B Biostatistical Methods: Survival Analysis and Causality
• PBHLTH 252D Introduction to Causal Inference or PBHLTH W252A Introduction to Causal Inference for Public Health Professionals or PBHLTH 252E Advanced Topics in Causal Inference
• PBHLTH 293 Biostatistics Doctoral Seminar

Qualifications

A Master’s degree in Biostatistics or a related field is recommended but not required for admission to the PhD program. Strongly recommended prerequisite courses are calculus, linear algebra, and statistics. Applicants admitted without a Master’s degree may be required to go through the Biostatistics MA curriculum; students can concurrently earn that degree with no additional cost or time to degree. Normative time to degree is 5 years.

Students entering with a relevant master’s degree in biostatistics or statistics must have a faculty advisor who is a member of the Biostatistics Graduate Group committing funding and mentorship support.

GRE Exemption Criteria

GRE General Test scores are required for admission to the Biostatistics PhD program however applicants are exempted from the requirement if they meet all of the following criteria:

• Completed two semesters of calculus for a letter grade and earned a grade of “B” or higher.
• Completed one semester of linear algebra for a letter grade and earned a grade of “B” or higher.
• Completed one semester of statistics for a letter grade and earned a grade of “B” or higher.
• Cumulative undergraduate GPA of 3.0 or higher.
• Overall quantitative/math GPA of 3.0 or higher.
• For students with a Master’s in Biostatistics or a related field, graduate GPA of 3.0 or higher.
• For international students: TOEFL score of 100 or higher OR IELTS score of 7.0 or higher.

Berkeley Public Health also exempts applicants who already hold a doctoral level degree from the GRE requirement.You can find more information on the application instructions page . There is a program page in the Berkeley Graduate Application where you can indicate you meet the criteria for GRE exemption. Applicants who are exempted from the GRE are not at a disadvantage in the application review process.

Many doctoral graduates accept faculty positions in schools of public health, medicine, and statistics and/or math departments at colleges and universities, both in the United States and abroad. Some graduates take research positions, including with pharmaceutical companies, hospital research units, non-profits, and within the tech sector.

Funding and Fee Remission

Prospective students who are US citizens or permanent residents can find more information about applying for an application fee waiver for the Berkeley Graduate Application. Fees will be waived based on financial need or participation in selected programs described on the linked website. International applicants (non-US citizens or Permanent Residents) are not eligible for application fee waivers.

All PhD students are fully funded (including tuition and fees and a stipend or salary) with the exception of Non-Resident Supplemental Tuition (NRST) for the second year, if applicable. NRST is typically waived after the first year of study for PhD students when they advance to candidacy. Information on applying to GSI positions for biostatistics students can be found in the Biostatistics Division student handbook .

Tuition and fees change each academic year. To view the current tuition and fees, see the fee schedule on the Office of the Registrar website (in the Graduate: Academic section).

Please contact [email protected] if you have any questions about funding opportunities for the biostatistics programs.

Diversity, Equity and Inclusion

The Division of Biostatistics is committed to challenging systemic inequities in the areas of health, medical, and biological sciences, and to advancing the goals of diversity, equity, and inclusivity in Biostatistics and related fields.

Diversity, Equity and Inclusion in Biostatistics

Admissions Statistics

Emeritus faculty, faculty associated in biostatistics graduate group.

• Peter Bickel PhD Statistics
• David R. Brillinger PhD Statistics
• Perry de Valpine PhD Environmental Science, Policy, and Management
• Haiyan Huang PhD Statistics
• Michael J. Klass PhD Statistics
• Priya Moorjani PhD Molecular & Cell Biology
• Rasmus Nielsen PhD Integrative Biology and Statistics
• Elizabeth Purdom PhD Statistics
• Sophia Rabe-Hesketh PhD Education
• John Rice PhD Statistics
• Yun S. Song PhD Statistics; Electrical Engineering and Computer Sciences
• Bin Yu PhD Statistics

Doctoral Program

Phd in biostatistics.

The PhD program is designed for those who have demonstrated both interest and ability in scholarly research. The department’s program is designed to prepare students for careers in the theory and practice of biostatistics and bioinformatics, and includes training in the development of methodology, consulting, teaching, and collaboration on a broad spectrum of problems related to human health, genomics, and basic biology.

Download the Biostatistics Doctoral Student Handbook  for more information on the doctoral program, and  download the Biostatistics Master’s Student Handbook  for more information on the Masters’ programs.

The overall goal of the Ph.D. program in Biostatistics is to prepare individuals to become leaders in the field through the achievement of six competencies:

• Discuss and apply a foundational knowledge base in probability, biostatistical theory, and computation to conduct collaborative and methodologic research.
• Synthesize established and recently-developed knowledge in probability, biostatistical theory, computation methods, and in public health, clinical and biological sciences.
• Teach statistical theory or methodology at multiple levels.
• Design and develop grants or proposals towards obtaining funding/resources for future research activities.
• Collaborate and communicate effectively with research scientists in related disciplines.
• Develop, implement and disseminate novel biostatistical or bioinformatics methodology to address outstanding questions in public health, clinical and biological science.

ELIGIBILITY REQUIREMENTS

All candidates for admission to the ph.d. programs  must have :.

• Successfully completed calculus through multivariable integration and one semester of linear algebra
• Knowledge of a programming language

All candidates for admission to the Ph.D. programs  are  encouraged to have :

• Completed courses in: probability, statistics, advanced calculus or real analysis, and numerical analysis
• Practical knowledge of a statistical computing package such as SAS, R, Stata, or Python
• Have completed courses in biology, computational biology, and genetics, if interested in bioinformatics
• Knowledge of a scripting language such as Python or Perl and some familiarity with relational databases, if interested in bioinformatics

On rare occasions the Department will admit students to our programs without this level of preparation with the understanding that the student will promptly make up any deficiencies, usually by taking additional courses prior to entering the program.

We provide full financial support (stipend/salary, tuition and health insurance) to all doctoral students in good standing for 5 years. This support comes from a variety of sources, including:

• NIH training and research grants
• Teaching fellowships
• Competitive  Harvard T.H. Chan School of Public Health  &  Griffin Graduate School of Arts and Sciences  scholarships

We also encourage doctoral students to apply for outside funding during their senior year of undergraduate study, such as NSF and NDSEG fellowships, which often award stipends larger than those provided by the Department.  Foreign applicants may be eligible for funding from Harvard-related sources based in their home country as well.

Harvard University does not discriminate against applicants or students on the basis of race, color, national origin, ancestry or any other protected classification.

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Online PhD in Epidemiology and Biostatistics

Quick access, program type, school / institute.

Online (Asynchonous)

USD 169 per credit hour

Scholarships

Full (officials of PS); 15% off (ECOWAS and IGOs)

EUCLID, an intergovernmental  treaty-based institution with a university mandate, offers to select students from the general public an online PhD in epidemiology and biostatistics with a focus on clinical studies and public health policies.

It is, to date, the only PhD program in this field offered by an international intergovernmental organization. Its purpose is to prepare highly qualified public health professionals able to serve in civil service,  international organizations , health care institutions, as well as non-governmental organizations globally.

https://youtu.be/1Q6_LRZwZrc

Academic Presentation

Epidemiology and biostatistics are often studied and approached from a national-centric perspective. Few programs are truly international in scope so as to fully prepare graduates for global civil service or corporate careers that will engage a wide variety of global health challenges, including vaccine policy HIV, drug-resistance, diet-related or lifestyle diseases, etc.

To answer this challenge, EUCLID has designed a world-class doctoral curriculum, which is presented here with full documentation of syllabus and faculty resources, as well as total tuition. This documentation will enable potential students to determine if this program is suitable and aligned with their career objectives.

AUDIENCE | INTEREST GROUPS

This unique PhD program focuses on the  practical and policy aspects of global public health rather than the advancement of purely theoretical knowledge.

This doctoral program was primarily designed to serve civil servants of EUCLID’s Participating States, but it is also open to the general public as an excellent route to pursue a career within inter-governmental bodies, NGOs and the public sector.

Thanks to its low tuition and institutional relationships, and because it covers such topics as health systems strengthening, malaria and tropical diseases in-depth, it is expected to be of special interest to Global South/African students.

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• Degrees Offered

PhD in Biostatistics

Description.

The doctoral program in Biostatistics trains future leaders, highly qualified as independent investigators and teachers, and who are well-trained practitioners of biostatistics. The program includes coursework in biostatistics, statistics, and one or more public health or biomedical fields. In addition, successful candidates are required to pass PhD applied and theory exams and write a dissertation that reports the results of new biostatistical research undertaken by the candidate.

Likely Careers

Clinical medicine, epidemiologic studies, biological laboratory and field research, genetics, environmental health, health services, ecology, fisheries and wildlife biology, agriculture, and forestry.

Applicants usually have a degree in mathematics, statistics, or a biological field. All applicants should have the equivalent of 30 or more quarter credits in mathematics and statistics, including linear algebra, probability theory, and approximately 2 years of calculus.

Concurrent Option:    PhD/MD

Application Deadline:   Dec 1 - Autumn Quarter Entry

Competencies

Upon satisfactory completion of the PhD in Biostatistics, graduates will be able to:

• Meet the  learning objectives of the MS program in Biostatistics ;
• Recommend and defend appropriate choices of methods to analyze independent outcome data; 
• Implement non-standard statistical methods accurately and efficiently; 
• Provide rigorous proofs characterizing the properties of standard statistical methods;
• Consult effectively with other scientists, addressing statistical issues in the design and analysis of public health or biomedical studies; and
• Design and carry out biostatistical research that will propose a new statistical method or will provide new information about the properties of existing methods.

Learning objectives for the PhD program in Biostatistics in the Generic Pathway:  Upon satisfactory completion of the PhD program in Biostatistics in the Generic Pathway, graduates will be able to:

• Recommend and defend appropriate choices of methods to analyze longitudinal, clustered and other non-independent outcome data; 
• Develop expertise in an area of biostatistical methodology; explain the strengths and weakness of different statistical methods in that area; and
• Explain both orally and in writing how advanced statistical methods work, assessing their strengths and limitations, and the place of particular methods in the larger statistical literature.

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Doctoral Programs

Biostatistics.

Biostatistics applies statistical and probability theory to human health and disease. The PhD program in biostatistics prepares individuals to develop or adapt statistical methods for solving problems in the health field. Students enjoy extensive library and computer facilities, as well as myriad opportunities for involvement in numerous research activities in the biomedical sciences and clinical research, which often lead to dissertation topics.

The department awards a number of fellowships to recognize academic achievement and support future scholarly success. As teaching and research experience are considered an important aspect of the program, these fellowships include some teaching and research apprenticeship.

Admissions Requirements

While many of the applicants admitted to Columbia’s PhD program in biostatistics have already completed (or are completing) master’s degrees in biostatistics, statistics, or a related field, admission is open to well qualified students holding (or completing) bachelor’s degrees. Those admitted with a bachelor’s degree are typically strong students from programs that emphasize a rigorous background in mathematics and/or statistics.

Depending on prior training and background, students may be required to take additional master’s level course work in the Mailman School of Public Health as part of their PhD training.

In addition to the requirements listed below, all applicants must submit an official transcript from each prior institution, a statement of academic purpose, and three letters of evaluation from academic sources. All international students whose native language is not English or whose undergraduate degree is from an institution in a country whose official language is not English must submit Test of English as a Foreign Language (TOEFL) or IELTS scores.

• Deadline for Fall Admission: December 1
• Deadline for Spring Admission: No spring admission
• Resume/CV: Yes
• Writing Sample: No
• GRE General: Optional
• GRE Subject: No

View competencies, course requirements, sample schedules, and more in our Academics section.

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INFORMATION FOR

• Prospective Students
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PhD in Biostatistics

Biostatistics involves the development and application of sound statistical and mathematical principles to research in the health sciences. Because original theoretical research in biostatistics flows from medical research, the foundations of methodological development must be firmly grounded in sound principles of statistical inference and a thorough knowledge of the substantive area that provides the source of the medical questions being addressed. Thus, the Department of Biostatistics encourages excellent methodological work that is motivated by sound science that includes but is not limited to active collaborations with other investigators.

Students will be able to choose either the Standard Biostatistics Pathway or the newly created Implementation and Prevention Science Methods Pathway , directed by Professor Donna Spiegelman, director of the Center for Methods in Implementation and Prevention Science . The rigorous training in the theory of and methods of biostatistics, with a specialization in implementation and prevention science methods promotes the adoption and integration of evidence-based practices, interventions and policies into routine health care and public health settings to improve the impact on population health.

Research collaborations for biostatisticians take place both within and across departments in the School of Public Health, as well as with other departments in the School of Medicine and the University at large. Areas of current research include the development of general methods that have wide applicability across different areas of health research, as well as more specific techniques for dealing with the underlying processes that give rise to the data of interest. A broad range of health topics addressed by students in this department includes chronic diseases such as cancer, genetic epidemiology, clinical research, and mathematical models for infectious diseases.

Graduates of the doctoral program in Biostatistics are employed in universities throughout the country, as well as in such dedicated research institutions such as the National Institutes of Health. In addition, graduates have pursued careers in the pharmaceutical industry, in which they are actively involved in the evaluation of new therapeutic strategies.

This program requires General GRE test scores. Please send them to institution code 3987 (there is no department code).

More on Implementation and Prevention Science Methods Pathway

Yale’s new pathway is the first degree program to provide rigorous training in implementation and prevention science methods , including training in the development of new methods to advance the field. Other programs, importantly but quite differently, focus on the practice of implementation science and are targeted to those with subject matter expertise (e.g., in mental health or cancer prevention). Yale’s new program, by contrast, targets those wishing to develop scholarly methodological expertise.

If you plan to attend Yale, you will be able to choose this pathway or the Standard Biostatistics Pathway . You will have until the beginning of the spring term to decide which pathway you wish to follow.

2023 Biostatistics Information Session for the MPH, MS and PhD programs

Biostatistics Information Session for the MPH, MS and PhD programs.

November 16, 2023

• Shuangge (Steven) Ma -Department Chair and Professor of Biostatistics
• Mary Keefe - Director of Admissions
• Lisa Calvocoressi - Research Scientist in Biostatistics
• Michael Kane - Assistant Professor of Biostatistics
• Donna Spiegelman - Susan Dwight Bliss Professor of Biostatistics and Professor of Cardiovascular Medicine
• Kei-Hoi Cheung - Professor of Biomedical Informatics & Data Science; Professor of Biostatistics
• Katie Doucet - Assistant Director, Student Affairs

Learn more about the Department of Biostatistics

• Career Outcomes and the YSPH Career Management Center

Biostatistics, PhD

Bloomberg school of public health, program overview.

The PhD program at the Johns Hopkins Department of Biostatistics offers comprehensive training in biostatistical methodology and practice, grounded in both probability and statistics theory and advanced data science. This program is unique in its broad emphasis, spanning the foundations of statistical reasoning and data science. It provides rigorous training in real analysis-based probability and statistics, comparable to that of most mathematical statistics departments, as well as in data science principles and practice.

The Department of Biostatistics PhD program prepares individuals who have demonstrated excellence in mathematics, engineering, and the natural or social sciences to become research biostatisticians in academia, industry, or government. PhD graduates:

• Conduct and publish original research on the theory, methodology and practice of biostatistics and data science;
• Translate methodological advances into software and other tools to facilitate their practical application;
• Apply innovative theories and methods to solve public health problems;
• Serve as expert biostatisticians and data scientists on collaborative teams of investigators addressing key public health questions;
• Teach biostatistics and data science effectively to health professionals, scientists, and graduate students in biostatistics.

Program Requirements

Course location and modality is found on the BSPH website .

The core curriculum consists of the following components:

All PhD students are required to:

• Take at least 14 courses from the core course list above. The 14 courses should contain at least a one-year sequence of Methods (140.751-754), a one-year sequence of Theory (140.646-649 or 140.721-724 or 140.731-734), and a one-year sequence of Data Science (140.776/777/628/629 or 140.644/777/778/779). The 14 courses should contain no more than 4 introductory-level courses (140.646-649, 140.776/628/629).
• In addition to the 14 core courses, take 16 credits of advanced PhD elective courses.
• Take at least 18 credit units of formal coursework in courses outside the Department of Biostatistics. At least nine of these credits must be taken in the School of Public Health.
• Take Current Topics in Biostatistics Research (140.860), Academic & Research Ethics at BSPH (550.860), Responsible Conduct of Research (550.600), and Epidemiologic Inference in Public Health I (340.721).

Students who use the one-year sequence of introductory-level probability and statistical theory (140.646-649) to fulfill requirement (1) must also take the half-year sequence of advanced data science (140.711-712).

Students who use the one-year sequence of introductory-level data science (140.776/777/628/629) courses to fulfill requirement (1) must take at least two advanced-level probability (140.721-724) and two advanced-level statistical theory (140.731-734) courses.

Student Evaluations

The Department is committed to providing every opportunity for its students to successfully complete the academic program of their choice. To support students in progressing toward the degree and to further their educational experience, the Department offers a comprehensive written examination at the end of the first year. For more details about the first-year PhD comprehensive exam, please visit the PhD in Biostatistics page where students can find a link to our PhD handbook.

The University requires students to successfully complete a preliminary oral examination, typically taken at the beginning of the third year.  The main purpose of this examination is to evaluate students' foundational knowledge and ability to communicate statistical ideas and concepts. Students should prepare a paper/proposal related to their potential thesis topic and present it in the preliminary oral exam. The University also requires students to successfully complete an oral thesis defense before graduation, where the completed thesis is defended in a public forum.

Research and Teaching Assistantships

The Department of Biostatistics offers teaching and research assistantships to its PhD students on a competitive basis. All PhD applicants (US and international) are ranked based on their merits; top candidates are offered admission. All students who matriculate are provided with assistantships that last five years and include full tuition, health insurance, and a living stipend.  Students find the teaching and research assistantships to be the most valuable part of their PhD experience. Please visit the PhD in Biostatistics page where students can find a link to our PhD handbook and the PhD union collective bargaining agreement  for more details on funding and benefits.

The Department offers a weekly seminar program featuring recent work by outstanding statistical scientists from around the world. Attendance is required for all graduate students. One seminar per month may be designated to be part of the Biostatistics "Grand Rounds" series, which features statistical analyses addressing important public health questions.

In addition, first-year graduate students are required to complete the Current Topics in Biostatistics Research course ( 140.860 ), where faculty, postdoctoral fellows, and senior students from the Department present their research, with a focus on the public health and scientific questions driving the work, why the research makes a difference for the subject area and how to translate the research into practice. 

Recommended Curriculum

First-year phd students.

In addition to the core courses described in the program requirements, the following curriculum is recommended:

PH.260.600 Introduction to the Biomedical Sciences

"Cells to Society" modules, if applicable*

PH.550.860 Academic & Research Ethics at BSPH

PH.140.840 Special Studies and Research Biostatistics (credits as needed in order to get to at least 16 credits total)

PH.140.860 Current Topics in Biostatistics Research

Second Term

Fourth term, second-year phd students.

PH.340.721 Epidemiologic Inference in Public Health I (if not taken the first year)

PH.550.600 Living Science Ethics - Responsible Conduct of Research

PH.550.860 Academic & Research Ethics at BSPH (if not taken in a previous term)

PH.140.840 Special Studies and Research Biostatistics (Credits as needed in order to get to at least 16 credits total)

"Cell to Society" modules, if applicable*

Select one or both of the following:

PH.140.820 Thesis Research Biostatistics (credits as needed in order to get to at least 16 credits total)

Third-Year PhD Students

Coursework in scientific/statistical electives/special studies for a minimum of 16 credits per term

Fourth-Year PhD Students

* Students are required to take eight 552.xxx “Cells to Society” courses (552.601.81, 552.603.81, 552.607.81, 552.608.81, 552.609.81, 552.610.81, 552.611.81, 552.612.81) by the end of Year Two.

Doctoral Student Policies

Below covers policies regarding academic performance of doctoral students that are specific to the Department of Biostatistics. Students also must satisfy the academic standing requirements of the Johns Hopkins University and Bloomberg School of Public Health. 

For a full list of program policies, please visit the PhD in Biostatistics page where students can find a link to our PhD handbook.

Academic Standing and Exams

Doctoral students are expected to stay in good academic standing throughout their PhD studies.

Students are expected to maintain grades of B or higher in core classes. Any core class with a grade lower than a B will need to be retaken.

First year students maintaining B grades in core classes can sit for the first year Departmental exam. Students with any grades lower than a B in core classes must receive approval from the graduate committee to sit for the exams. In the event that students are denied, possible resolutions include postponing the exam for one year, switching to a master’s program or being required to leave the doctoral program based on a consideration by the faculty of overall academic performance.

In the event of a failure of the exam, students are allowed one retake. Student retakes typically occur in the following year, with exceptions occurring when mitigating circumstances are present, such as a leave of absence. In the event of a failure in the retake, the student will be asked to leave the doctoral program, typically with the option to join the master’s program. The exams, either a first take or retake, are only given once per year at the start of the summer break (typically in early June).

The grading of the Departmental exam is as follows. Passing scores are determined by exam writers after grading with examiners blinded from student names. Students who pass all sections of the exam pass the exam. Students failing one or more sections will be discussed by the faculty as a whole. This discussion will include exam and course performance. Possible resolutions include: declaring the student as passing the exam, declaring the student as having failed the exam, take-home remediation of sections of the exam or a full retake (only available if it is the student’s first attempt at the exam).

To maintain good academic standing, students must complete their school-wide preliminary oral exam by the end of their third academic year before the start of the first term of their fourth year (typically late August or early September depending on that year’s academic calendar).

Full funding for tuition and stipend is provided to PhD students for five years. Students are expected to finish their doctoral programs within this time. Students who do not finish within five years may continue in the program for up to two additional years. In these cases, a 75% departmental tuition scholarship is provided, but students are responsible for the remaining tuition, their own health insurance, and living expenses. Personal office space cannot be guaranteed for students beyond the five-year point. Common areas (Biostatistics Library, Genome Cafe) remain available for use by these students.

Program Changes from PhD to ScM or MHS

In the event that a doctoral student switches to the ScM or MHS programs, the following should be noted.

Funded doctoral students forfeit their funding in the event of a program switch.

Students have the option of switching to part-time status after switching programs. However, visa residency requirements for maintaining full-time student status typically prevent foreign students from being able to switch to part-time.

MHS and ScM students receive a 75% tuition reduction in their second year provided that they have taken 12 credits of courses outside of the Department (of which at least 6 credit hours must come from the School of Public Health courses) and have passed their Departmental exams. Doctoral students considering a program switch should appropriately plan their first year coursework to ensure eligibility for the tuition reduction in their second year. The 75% tuition remission is contingent on passing the first year exams at the master’s level. PhD students who take the doctoral exam and then elect or are asked to switch to a master’s program will be informed whether their performance on the doctoral exam constitutes a pass at the master’s level. Students who are deemed to have not passed at the master’s level will be asked to take the master’s Departmental exam in the subsequent year to fulfill the requirements of the master’s program and will not be eligible for the tuition reduction until the exam requirements have been met. Students will be allowed this one administration of the master’s exam in these circumstances.

Upon successful completion of the Doctor of Philosophy in Biostatistics, students will have mastered the following competencies:

• Apply quantitative methods to public health and scientific problems;
• Examine and apply foundational concepts of probability theory and statistical inference;
• Construct, fit and interpret different types of linear model (LM), generalized linear model (GLM), linear mixed model (LMM) and generalized linear mixed model (GLMM) in the context of scientific and public health applications, and conduct statistical inference in these models;
• Develop foundational insights for applying biostatistical theory and methodology to solve public health and scientific problems;
• Produce a complete data analysis to answer a targeted scientific or public health question.

According to the requirements of the Council on Education for Public Health (CEPH), all BSPH degree students must be grounded in foundational public health knowledge. Please view the list of specific CEPH requirements by degree type .

Biostatistics, PhD

• Program description
• At a glance
• Degree requirements
• Admission requirements
• Tuition information
• Application deadlines
• Career opportunities
• Contact information

Data, Data Science, Epidemiology, Health Care Data, Health Statistics, Mathematics, Public Health, Research, approved for STEM-OPT extension, bioinformatics, statistics

This program will begin accepting applications for the Fall 2025 semester.

Elevate your career in biostatistics, contribute to cutting-edge research, and drive advancements in health care.

The PhD program in biostatistics offers a comprehensive and specialized education in the novel development and application of biostatistical methods to the health and biomedical sciences. This innovative program is designed to equip students with advanced skills in designing research studies, analyzing data and implementing biostatistical solutions to address applicable health challenges. Collaborating closely with health researchers and professionals from various disciplines, students develop expertise in crafting impactful strategies for improving health outcomes and advancing medical research.

Emphasis is placed on designing and analyzing randomized, controlled clinical trials; intervention studies and biostatistical models. Collaborations within ASU's College of Health Solutions foster a dynamic environment for cross-disciplinary learning and research. Students are encouraged to engage with a wide spectrum of health-related fields, including behavioral science, biomedical informatics, kinesiology, nutrition, population health and others.

By working closely with health researchers, students gain valuable hands-on experience in problem-solving, data analysis and collaborative research. This approach not only enhances their technical skills but also cultivates effective communication and teamwork abilities, which are vital for thriving in diverse health care environments.

GI Bill® benefits This new program is not yet approved for use with GI Bill® benefits.

GI Bill® is a registered trademark of the U.S. Department of Veterans Affairs. More information about education benefits offered by VA is available at the official U.S. government website at https://www.benefits.va.gov/gibill/ .

This program may be eligible for an Optional Practical Training extension for up to 24 months. This OPT work authorization term may help international students gain skills and experience in the U.S. Those interested in an OPT extension should review ASU degrees that qualify for the STEM-OPT extension at ASU's International Students and Scholars Center website.

The OPT extension only applies to students on an F-1 visa and does not apply to students completing a degree through ASU Online.

• College/school: College of Health Solutions
• Location: Downtown Phoenix

Required Core (18 credit hours) BST 601 Biostatistical Theory and Inference (3) BST 602 Applied Multi-level and Longitudinal Data Analysis (3) BST 603 Survival Data Analysis (3) BST 606 Applied Clinical Trial Design and Analysis (3) BST 608 Applied Meta-analysis (3) BST 609 Categorical Data Analysis in Health Sciences (3)

Electives (42 credit hours)

Research (12 credit hours) BST 792 Research (12)

Culminating Experience (12 credit hours) BST 799 Dissertation (12)

Additional Curriculum Information Elective coursework should be selected in consultation with the program advisor. Students may also work with their program director to identify suitable elective alternatives.

This program requires a qualifying exam and a written comprehensive exam. A submission of a written dissertation prospectus and its oral defense are required. It is expected that the submission of a written dissertation prospectus and its oral defense will take place no later than the end of the fourth year.

Applicants must fulfill the requirements of both the Graduate College and the College of Health Solutions.

Applicants are eligible to apply to the program if they have earned a bachelor's or master's degree in applied statistics, applied mathematics, quantitative psychology or a related field from a regionally accredited institution.

Applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in the last 60 hours of their first bachelor's degree program, or applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in an applicable master's degree program.

Applicants are required to submit:

• graduate admissions application and application fee
• official transcripts
• professional resume
• two references (academic or professional)
• statement of purpose
• writing sample (six to ten pages)
• proof of English proficiency

Additional Admission Information An applicant whose native language is not English must provide proof of English proficiency regardless of current residency.

All applicants must have completed and passed an undergraduate statistics course (e.g. HCD 300, STP 226, ECN 221, or PSY 230), a linear algebra course (e.g. MAT 242, MAT 342 or MAT 343) and a calculus course (e.g. MAT 210, MAT 251 or MAT 270) prior to admission. If the requisite coursework is not completed prior to admission then it must be completed prior to matriculating.

Contact information of two references is required. References will be contacted via email to submit a letter of recommendation. Letters of recommendation preferably are written by instructors, research mentors or supervisors who can speak to the applicant's aptitude for research and graduate-level coursework.

The statement of purpose should be one to two pages that indicate the applicant's interest in the program, knowledge of the field and career plans. Applicants are encouraged to connect with program faculty who could be potential research mentors and include this information in their statement, if available at the time of application.

Preference will be given to students with extensive quantitative background and computation skills with health-related experience.

An oral interview with the program faculty is required. Strong applicants will be contacted to schedule an interview in person or via videoconference prior to acceptance.

Graduates with a doctorate in biostatistics can be employed in academic institutions, government agencies and industries as:

• biostatisticians
• data scientists
• senior data analysts
• statisticians

These positions are all classified as "Bright Outlook occupations" from the Bureau of Labor Statistics, which defines them as the occupations expected to grow rapidly in the next several years with large numbers of job openings. They are new and emerging occupations with potential high salaries.

College of Health Solutions | HLTHN 401 [email protected] 602-496-3300 Admission deadlines

Graduate Programs

Biostatistics (online).

Brown University’s 20-month, online master's in biostatistics, health data science concentration, prepares you to translate complex data into actionable insights that save lives and advance scientific understanding.

Through the online master’s in biostatistics program, you’ll gain a solid foundation in biostatistical and health data science methods, combined with comprehensive training in applied skills to address the industry's increasing demands. 

The flexible format, delivered asynchronously online, is designed to fit your needs as a learner or working professional, whether you’re local or part of our global audience — fulfilling the urgent need for well-trained biostatisticians worldwide.

The program features a health data science concentration that allows you to develop highly sought-after foundational knowledge in health data science. Upon completion of the program you’ll earn a master of science (Sc.M.) degree in biostatistics.

Additional Information

You’ll have access to the computing infrastructure at the Center for Statistical Sciences, a high-end, continuously updated computing environment featuring both Unix and PC/MAC networks, with access to all major software for data analysis and statistical computing.

As an online student, you will have access to the same learning resources as on-campus students. This includes Brown University’s extensive collection of library and information resources such as the Sheridan Center for Teaching and Learning’s English language support and Writing Center; Student Accessibility Services and telehealth services.

*Brown also offers an on-campus AM or Sc.M. in Biostatistics and a Ph.D. in Biostatistics .

Application Information

Entering students are expected to meet the necessary admissions requirements, including:

• A bachelor’s degree from an accredited institution
• At least one semester of calculus  (including differentiation & integration)
• At least one semester of linear algebra
• At least one semester of probability 
• At least two years of professional work experience , prior to entering program
• Prior experience in programming languages, such as R or Python is recommended and preferred, but not required. Applicants who lack this experience in their academic or work background are encouraged to complete an introductory programming course prior to matriculation. 

Applicants to this School of Public Health program should apply through SLATE . Brown University School of Public Health GRE reporting code: 7765.

If you have any questions regarding the application process for this program, please email [email protected] .

Spring 2025 Application Opens: March 4, 2024 Early Action Deadline: July 15, 2024 Priority Deadline: September 15, 2024 Final Deadline: October 15, 2024 Semester Starts: January 22, 2025

Fall 2025 Application Opens: September 15, 2024 Early Action Deadline: March 15, 2025 Priority Deadline: May 1, 2025 Final Deadline: June 1, 2025 Semester Starts: September 3, 2025

Application Requirements

Gre subject:.

Not required

GRE General:

Toefl/ielts:.

All international applicants whose native language is not English must submit an official Test of English as a Foreign Language (TOEFL) or International English Language Testing System (IELTS) score. Visit https://graduateschool.brown.edu/application-information/international-applicants/language-proficiency-toefl-or-ielts for exceptions. The TOEFL iBT Special Home Edition and the IELTS Indicator exam are accepted. Students from mainland China may submit the TOEFL ITP Plus exam.

Official Transcripts:

Letters of recommendations:.

(3) Required

Personal Statement:

Additional materials:.

Application Fee (Apply by the Early Decision Deadline and we’ll waive your $100 application fee)

Additional Requirements:

INTERNATIONAL APPLICANTS

Language Proficiency (TOEFL or IELTS if applicable)

Transcript Evaluation (if applicable)

RESTRICTIONS AND LICENSING REQUIREMENTS

To comply with OFAC restrictions and licensing requirements, Brown University currently does not offer online programs to individuals physically located in the following areas: Cuba, Iran, North Korea, Syria, and the Crimea, Donetsk and Luhansk regions of Ukraine. Please note that this limitation is location based, as well as applies to all citizens of these countries, regardless of location, who are ordinarily resident in these countries. View more information pertaining to embargoed country regulations for online courses .

Dates/Deadlines

Early admission deadline, application deadline, tuition and funding.

Graduate Tuition & Fees: Please visit Student Financial Services  for up-to-date tuition rates.

Most students are self-supported through a combination of scholarships, loans, outside funding, and/or assistantships. Please visit the master's funding website for more information.

Completion Requirements

Students are required to successfully complete 9 online courses, including a final capstone project. Courses will have both required asynchronous and optional synchronous components to support student learning.

Non-traditional adult learners and working professionals can expect to complete the course sequence in as few as 20 months. Up to one graduate course from another institution can be transferred.

Alumni Careers

Contact and Location

Department of biostatistics, mailing address.

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• Graduate School Handbook
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Doctor of Philosophy in Biostatistics .

The PhD in Biostatistics trains students in cutting edge data analysis techniques, statistical theory, and effective collaborative skills for biomedical and public health research. The program is jointly administered by the Department of Biostatistics at the School of Public Health in collaboration with the Department of Mathematics & Statistics at the Graduate School of Arts & Sciences. Our graduates are prepared for a career as a professional, academic, or industrial biostatistician in biomedical or epidemiologic sciences.

Our students work in research teams committed to performing innovative and impactful research in areas such as statistical genetics and genomics, clinical trials, big data analytics, machine learning and AI with applications in areas such as health equity, substance use disorders, Alzheimer’s Disease and dementia, infectious diseases, and cancer.

Our students enjoy a student-focused supportive training environment based in a highly productive and collaborative research environment. We are committed to engaging in research to improve health equity and support underserved communities. We are embedded in Boston Medical Center, the largest safety net hospital in New England and a part of the Boston University School of Public Health with a commitment to improving the health of all.

Program Directors:

• Kathryn Lunetta
• Laura White

Program Elements

Students entering with a bachelor's degree must complete a total of 64 credits (16 Classes). Students entering with a master's degree must complete at least 32 credits (8 Classes).

It is expected that students take courses from both the Biostatistics Department in the School of Public Health and the Mathematics & Statistics Department in the Graduate School of Arts & Sciences. Upon completion of coursework, each student must pass Qualifying Examinations .

The dissertation work must address a relevant question in statistical methodology and pose a new approach, extend an existing approach, or provide novel application of an existing method. When the dissertation is completed, the candidate defends his or her work before the dissertation committee. More information about the dissertation requirements is available in the Graduate School of Arts & Sciences Bulletin .

Students entering with a bachelor's degree must complete a total of 64 credits (16 classes). Students entering with a master's degree must complete at least 32 credits (8 classes).

Qualifying Exams

Upon completion of coursework, each student must pass two Qualifying Examinations . One is focused on applied material and the other is focused on more theoretical topics.

Teaching Opportunities

All students are required to TA at least once during their time as a PhD student. Opportunities to teach outside of this are available to our PhD students.

Dissertation

Students admitted to the PhD program (post-master or post-bachelor) in Biostatistics at Boston University as a full-time student will receive five years of financial-aid in the form of fellowship or assistantship support. The financial-aid package will consist of a stipend as well as a scholarship to cover tuition, mandatory fees, and individual basic health insurance. A student will typically be appointed as a Doctoral Research Assistant (RA).

Doctoral Research Assistantship

Eligibility (RA): All eligibility requirements for admission must be met. All qualified PhD applicants (international as well as domestic students) who intend to pursue their education as a full-time student are eligible to receive financial aid through Doctoral Research Assistantship.

How to apply (RA): Eligible individuals who are interested in being considered for Doctoral Research Assistantship must complete the standard online application for the PhD program in Biostatistics by December 1. No separate application for financial aid is required.

Click here to view the Research Assistantship Handbook.

Interdisciplinary Training Program For Biostatisticians

We support multiple students each year through an NIH-funded training grant. This program allows students to perform research rotations during the first two years of the program and receive additional mentoring and training. For more information on eligibility and requirement for the Training Grant program, click here .

Financial Aid Opportunities

For more information, please visit GRS’s financial aid page for fellowships and scholarships and BUSPH’s financing your education page for additional internal and external funding opportunities.

All requests or questions related to admissions and financial aid should be sent to [email protected] . Applicants should not directly contact faculty members regarding admissions or funding opportunities.

Seminars, Professional Development

Our students participate in a wide range of seminars and other professional development activities. The department holds a monthly seminar series with invited speakers presenting on research from a wide range of areas in biostatistics. There are also topic specific meetings in Statistical Genetics and Genomics, Clinical Trials, Causal Inference, and Infectious Disease modeling.

The department also hosts a monthly career development workshop which covers topics related to finding internships, developing an individual development plan, alumni panels, and other topics pertinent to being a successful student and professional.

For complete information on the PhD in Biostatistics program of study, please review the PhD Handbook 2024-2025 and the Graduate School of Arts & Sciences Bulletin .

Students admitted to the PhD program (post-master or post-bachelor) in Biostatistics at Boston University as a full-time student will receive  five years of financial-aid in the form of fellowship or assistantship support. The financial-aid package will consist of a stipend as well as a scholarship to cover tuition, mandatory fees, and individual basic health insurance. A student will typically be appointed as a Doctoral Research Assistant (RA).

Eligibility (RA): All eligibility requirements for admission must be met. All qualified PhD applicants (international as well as domestic students) who intend to pursue their education as a full-time student are eligible to receive financial aid through Doctoral Research Assistantship .

Interdisciplinary Training Program for Biostatisticians

For more information on eligibility and requirement for the Training Grant program, click here .

All requests or questions related to admissions and financial aid should be sent to [email protected] . Applicants should not directly contact faculty members regarding admissions or funding opportunities .

Alumni Careers

Our graduates are highly sought after and work in a wide variety of careers upon graduating. Below is information on our graduates' first jobs after graduation.

PhD in Biostatistics Admissions Requirements

Applications for the PhD in Biostatistics program must be completed on the Graduate School of Arts & Sciences website. The deadline for fall admission is December 1. We do not have spring admission.

Requirements for Admissions

• At least the equivalent of bachelor of arts degree; no specific undergraduate major is required
• One year of calculus, including multivariate calculus*
• One full semester of linear algebra*
• Unofficial transcripts from all colleges and universities attended
• 1-2 pages personal statement
• Three letters of recommendation
• Official report of TOEFL scores for applicants whose native language is not English

Note: GRE is not required for admission.

*Online courses can be used to fulfill prerequisite courses if they: 1) are taken from an accredited university or college, 2) are letter-graded, and 3) carry the same credits as in-person courses at the institution.

Graduate programs are jointly administered by the SPH Department of Biostatistics and the Department of Mathematics & Statistics at the Graduate School of Arts & Sciences. Program degrees are the Graduate School of Arts & Sciences.

Students can visit the fee waiver application to find out more information about their eligibility.

Attend a Webinar: Sept 19, Oct 17, Nov 14, Jan 16, & Feb 12

Webinar Information

Attend a live webinar via Zoom to speak with the Program Directors and learn more about the program. Fill out the  Biostatistics Virtual Session Form to RSVP. The 2024 - 2025 webinar dates are as follows:

• Thursday, September 19, 2024 @ 9am EDT
• Thursday, October 17, 2024 @ 12pm EDT
• Thursday, November 14, 2024 @ 9am EST
• Thursday, January 16, 2025 @ 9am EST
• Wednesday, February 12, 2025 @ 9am EST

For more information about the program, please email [email protected] .

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UCLA Graduate Programs

Graduate Program: Biostatistics

UCLA's Graduate Program in Biostatistics offers the following degree(s):

Master of Science (M.S.)

Doctor of Philosophy (Ph.D.)

With questions not answered here or on the program’s site (above), please contact the program directly.

Biostatistics Graduate Program at UCLA 51-254 CHS Box 951772 Los Angeles, CA 90095-1772

Visit the Biostatistics Department’s faculty roster

COURSE DESCRIPTIONS

Visit the registrar's site for the Biostatistics Department’s course descriptions

• Admission Requirements
• Program Statistics

(310) 825-5250

[email protected]

MAJOR CODE: BIOSTATISTICS

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Online graduate certificate in biostatistics.

Ohio State’s online Graduate Certificate in Biostatistics offers a unique blend of epidemiology and biostatistics for public health. You will learn survival analysis techniques; assess and improve study designs commonly used in public health research; and interpret standard regression models using industry-standard statistical software. Accredited by the Council on Education in Public Health, this 100% online Graduate Certificate in Biostatistics is designed to equip you with the background in epidemiologic study designs, biostatistics, and statistical computing required for public health data analysis in the public and private sectors.  

Why Choose Ohio State’s Online Graduate Certificate Program in Biostatistics?  

This online graduate certificate offers a rigorous curriculum tailored to applications in population health. You will gain practical hands-on experience by using a wide array of statistical tools such as R, Stata, and SAS to analyze public health data. This will equip you with skills that are highly sought after in job postings for roles like management analysts, medical scientists, statisticians, and epidemiologists. 

Campus Requirements: NONE – 100% online  

Class Format: Asynchronous – you can complete coursework each week on your own schedule.  

Credit Hours Required: 14 

Cost Per Credit Hour:  $812.06 per credit hour (includes instructional and general fees). See full breakdown of costs here .

Admission Requirements: Minimum of a bachelor’s degree. GRE not required.   

Time to Completion: 3 semesters, Part-time  

Graduate Certificate vs. Master’s Degree: Which is Right for You?

What are the benefits of an online certificate program, how do online classes work, sample courses, principles of epidemiology, regression methods for the health sciences, introduction to r for data science, featured faculty.

Fernanda Schumacher

Patrick Schnell

Is this program offered in my state, the selected program is available in the following states.

If you live outside Ohio and are planning to earn a professional license via this program, click on the state where you plan to seek licensure for important information.

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Ready to become a Buckeye?

Receive more information about this online program.

OSO Learn More Link

Still have questions? Inquire for the answers you need .

PhD Programs

Doctoral programs in the public health sciences   are offered through  Emory's Laney Graduate School .

PhD Program in Behavioral, Social, and Health Education Sciences

The field of behavioral, social, and health education sciences  (BSHES) is committed to applying a broad spectrum of behavioral and social science knowledge, theory, and methods to promote health, prevent disease, and improve quality of life. The PhD BSHE program applies a collaborative, interdisciplinary approach to research and advocates an ecological perspective to understanding and influencing the factors that shape health and illness.

Program Information | Brochure | Admissions | How to Apply

PhD Program in Biostatistics

The PhD program in biostatistics prepares students for research careers by offering a blend of theoretical and methodological courses. Our teaching curriculum is based on the principle that almost every biostatistician will have to spend at least some of his/her time on statistical analysis of real-life data.

PhD Program in Epidemiology

The PhD program in epidemiology trains future leaders in public health. Our curriculum is grounded in the methodologies of epidemiology and biostatistics enabling graduates to contribute new thinking to the field. These methodologies are applied to a broad range of clinical and public health concerns domestically and globally, including cancer, cardiovascular disease, environmental exposures, infectious diseases, and reproduction.

PhD Program in Environmental Health Sciences

The PhD program in environmental health sciences seeks to improve human health by better understanding the impact of environmental factors in the development of disease. PhD students will receive comprehensive training to become fluent in population and laboratory-based research in environmental health science by bridging the interdisciplinary areas of Exposure Science, Biological Mechanisms of Susceptibility and Disease, and Environmental Determinants of Population Health.

Program Information | Admissions | How to Apply

PhD Program in Global Health and Development

The Global Health and Development (GHD) program will train leaders and scholars who use science to improve public health policy and practice for underserved populations globally. Graduates will acquire a solid understanding of the theoretical frameworks of implementation science and relevant methodological skills required to guide programs and policies that are designed to improve health outcomes in a variety of settings across the globe. 

Program Information | Admissions | Apply 

PhD Program in Health Services Research and Health Policy

Emory's health services research and health policy program trains students to undertake original research (relying on social science theory and using sophisticated empirical analyses) to evaluate current issues in health policy. Our program combines a strongly interdisciplinary and policy-oriented public health approach with rigorous social science training in either economics or political science.

Program Information |  Admissions | How to Apply

PhD Program in Nutrition and Health Sciences

The nutrition and health sciences (NHS) program provides the expertise and skills necessary to investigate relationships between human nutrition and health, and contributes to improving nutrition worldwide. The NHS faculty were recently ranked 4th in the United States in terms of research productivity. Core strengths in metabolomics and predictive medicine, clinical nutrition, population-based intervention trials and epidemiology, and public nutrition programs ensure a quality training in whichever aspect of human nutrition that most inspires you.

PhD in Biostatistics

Lead the future of biological data analysis with our doctorate in biostatistics..

Bayesian methods. Biomarker discovery. Machine learning. Experiment with these and other areas of research to examine causes and effects of disease as you harness your quantitative aptitude and sense of curiosity to pursue UMass Amherst’s PhD in biostatistics.

Designed to prepare you for research and teaching positions in academic institutions as well as leadership roles in health-related agencies, our program offers both major and minor areas of concentration. Core courses include graduate work in generalized linear models, Bayesian inference, survival analysis, as well as statistical theory. Every student is encouraged to select, in consultation with their academic advisor, the elective courses to take, based on their training, background, and interests.

Completion of a doctorate in biostatistics requires self-direction, independence, perseverance, and, naturally, quantitative aptitude. Evidence of these qualities plays an important role in our admissions decisions.

Related offerings

Students interested in our PhD in Biostatistics may also be interested in these other offerings.

• 4+1 Accelerated MS in Biostatistics
• MS in Biostatistics

Benefits list

Funding Your Education

Many PhD students are supported with research assistant (RA) positions funded by faculty grants. Doctoral students are also provided financial support via teaching assistant (TA) positions. All full-time PhD students are currently fully funded.

Partner With Research Centers and Institutes

You’ll find a wealth of opportunities in our campus research centers, including state-of-the-art research hubs like the  Institute for Applied Life Sciences , and international collaborations with researchers in the  Institute for Global Health , to support a wider breadth of research inquiries.

CEPH Accreditation

Every program in the School of Public Health and Health Sciences is fully accredited by the  Council of Education for Public Health , a key benefit of attending UMass.

Featured class

The goal of this course is to introduce statistical modeling approaches that are widely used in medical and public health research, including novel approaches developed in the past few years.

Featured faculty

Nicholas reich.

Focus on forecasting, machine learning, time series, infectious disease modeling, cluster-randomized trials.

Leontine Alkema

Focus on Bayesian inference; statistical demography; global child, maternal, and reproductive health.

Raji Balasubramanian

Metabolomic studies, pediatric HIV studies, measurement error in self-reported outcomes, study design, high-dimensional data and analysis of biological networks

Ken Kleinman

Focus on cluster-randomized trials, missing data, statistical software, electronic medical records

In the spotlight

"Biostatistics as a field has helped me find that niche of working collaboratively with other people who are trying to make the world a better place, and you're putting your math and data science skills to work in a way that feels important."

Application information & deadlines

Prospective students must apply first through the SOPHAS site and then the UMass Graduate School Supplemental Application, which will be emailed to you upon completion of the SOPHAS application.

Priority Deadline

December 1, 2023.

Priority consideration will be given to applicants who submit the application by Dec. 1.

Application Deadline

February 1, 2024.

The application deadline is Feb. 1.

Biostatistics

Advancing public health, medicine, and biology through statistics

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Doctor of Philosophy in Biostatistics

Recent graduates hold the following positions:

• Data scientist, Google 
• Senior research statistician, AbbVie Inc.
• Biostatistics manager, Amgen
• Senior biostatistician, Boehringer Ingelheim
• Senior research investigator, Bristol-Myers Squibb
• Biostatistician, Duke Clinical Research Institute
• Aassistant professor, Medical College of Wisconsin
• Assistant professor, Northwestern University Feinberg School of Medicine
• Assistant professor, University of Florida
• Postdoctoral associate, University of Pittsburgh
• Mathematical statistician, U.S. Food and Drug Administration

Program Information

PhD Degree Requirements Worksheet (PDF, 2023-24) Student Handbook (PDF, 2023-24)

Statistical Genetics

Doctoral students interested in statistical genetics can pursue that training through either the biostatistics PhD program or the human genetics PhD program. Within the biostatistics PhD program, statistical genetics students take the usual requirements for a biostatistical major but their electives are appropriately selected genetics courses. Students interested in statistical genetics should state that in their application.

A partial list of faculty with interest in statistical genetics

Department of Biostatistics Yong Seok Park Chien-Cheng (George) Tseng

Department of Human Genetics with secondary appointment in the Department of Biostatistics Daniel E. Weeks Eleanor Feingold

Application Deadline

The priority deadline for applications is December 15. The hard deadline for applications is January 5.  

Using   SOPHAS , the centralized application service for graduate schools of public health.

Questions? Contact  [email protected]

Biostatistics News

Recent dissertation titles.

Browse titles in D-Scholarship , the institutional repository for research output at the University of Pittsburgh

Graduates will be able to:

• Develop and implement advanced parametric and nonparametric methods, and the corresponding inference procedures  
• Formulate various linear and mixed models and master the statistical inference on these models
• Apply linear, generalized linear and non-linear regression models to analyze cross-sectional or clustered, or longitudinal data with applications to health sciences  
• Derive quantities and inference statistics for time-to-event data and apply nonparametric, parametric and semiparametric survival models to such data
• Contribute to the body of knowledge in the field of biostatistics by submitting article(s) for publication in peer-reviewed journal(s), or preparing book chapter(s) for publication

Requirements

72 credits, including:

• Coursework in fundamentals of statistical theory and applications
• A statistical consulting practicum
• Coursework in epidemiology and public health
• Advanced dissertation research in an area of specialization

Why Pittsburgh?

We’re in one of the best cities in the country, no lie... a “most livable” burgh, loved by tech nerds, foodies, outdoor adventurers, artists, and home-bodies.

Coronavirus COVID-19 Updates: uc.edu/publichealth

Program Disclaimer: Within the next academic year, the Division of Biostatistics and Bioinformatics will merge into the newly named Department of Biostatistics, Health Informatics, and Data Sciences (BHIDS) within the College of Medicine.  This will create a better platform for faculty and students in the Data Sciences to further their research and research opportunities. 

The Master of Science and Doctoral programs in Environmental Health-Biostatistics will also merge into BHIDS and undergo a name change to represent the program's new home better.  Future admitted students will be eligible to obtain their degree with the new name if they choose.

Doctor of Philosophy in Biostatistics

Program summary.

The Doctor of Philosophy (PhD) in Biostatistics prepares students for advanced study and research in biostatistics and bioinformatics. The program targets students with strong skills and training in mathematics and statistics who are interested in applications in biomedical research, public health and health care. The PhD program aims to train independent researchers in biostatistics and bioinformatics applications and methodology.

PhD Biostatistics - Traditional Track Curriculum  (PDF)

Program Goals

Graduates of our PhD program will be able to:

• Conduct and publish original research in biostatistics and bioinformatics 
• Work independently as a practicing biostatistician and bioinformaticians 
• Teach biostatistics and bioinformatics to public health and medical professionals, to other scientists, and/or to undergraduate and graduate students

Department of Environmental & Public Health Sciences Division of Biostatistics and Bioinformatics Kettering Lab Building Room 130 160 Panzeca Way Cincinnati, OH 45267-0056 Phone: 513-558-5701 Email:   [email protected]

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The Unique Burial of a Child of Early Scythian Time at the Cemetery of Saryg-Bulun (Tuva)

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Pages:  379-406

In 1988, the Tuvan Archaeological Expedition (led by M. E. Kilunovskaya and V. A. Semenov) discovered a unique burial of the early Iron Age at Saryg-Bulun in Central Tuva. There are two burial mounds of the Aldy-Bel culture dated by 7th century BC. Within the barrows, which adjoined one another, forming a figure-of-eight, there were discovered 7 burials, from which a representative collection of artifacts was recovered. Burial 5 was the most unique, it was found in a coffin made of a larch trunk, with a tightly closed lid. Due to the preservative properties of larch and lack of air access, the coffin contained a well-preserved mummy of a child with an accompanying set of grave goods. The interred individual retained the skin on his face and had a leather headdress painted with red pigment and a coat, sewn from jerboa fur. The coat was belted with a leather belt with bronze ornaments and buckles. Besides that, a leather quiver with arrows with the shafts decorated with painted ornaments, fully preserved battle pick and a bow were buried in the coffin. Unexpectedly, the full-genomic analysis, showed that the individual was female. This fact opens a new aspect in the study of the social history of the Scythian society and perhaps brings us back to the myth of the Amazons, discussed by Herodotus. Of course, this discovery is unique in its preservation for the Scythian culture of Tuva and requires careful study and conservation.

Keywords: Tuva, Early Iron Age, early Scythian period, Aldy-Bel culture, barrow, burial in the coffin, mummy, full genome sequencing, aDNA

Information about authors: Marina Kilunovskaya (Saint Petersburg, Russian Federation). Candidate of Historical Sciences. Institute for the History of Material Culture of the Russian Academy of Sciences. Dvortsovaya Emb., 18, Saint Petersburg, 191186, Russian Federation E-mail: [email protected] Vladimir Semenov (Saint Petersburg, Russian Federation). Candidate of Historical Sciences. Institute for the History of Material Culture of the Russian Academy of Sciences. Dvortsovaya Emb., 18, Saint Petersburg, 191186, Russian Federation E-mail: [email protected] Varvara Busova  (Moscow, Russian Federation).  (Saint Petersburg, Russian Federation). Institute for the History of Material Culture of the Russian Academy of Sciences.  Dvortsovaya Emb., 18, Saint Petersburg, 191186, Russian Federation E-mail:  [email protected] Kharis Mustafin  (Moscow, Russian Federation). Candidate of Technical Sciences. Moscow Institute of Physics and Technology.  Institutsky Lane, 9, Dolgoprudny, 141701, Moscow Oblast, Russian Federation E-mail:  [email protected] Irina Alborova  (Moscow, Russian Federation). Candidate of Biological Sciences. Moscow Institute of Physics and Technology.  Institutsky Lane, 9, Dolgoprudny, 141701, Moscow Oblast, Russian Federation E-mail:  [email protected] Alina Matzvai  (Moscow, Russian Federation). Moscow Institute of Physics and Technology.  Institutsky Lane, 9, Dolgoprudny, 141701, Moscow Oblast, Russian Federation E-mail:  [email protected]

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• News Center >
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• New online graduate pharmacy program accommodates working professionals

New online graduate pharmacometrics program accommodates working professionals

In her role of director of online programs at the University at Buffalo School of Pharmacy and Pharmaceutical Sciences, Carrie Hoefer created two new online graduate programs: pharmacometrics and personalized pharmacotherapy, which begins this fall, and pharmaceutical sciences, which will launch in fall 2025. Photo: Douglas Levere

By Laurie Kaiser

Release Date: July 31, 2024

BUFFALO, N.Y. — When Carrie Hoefer became director of online programs at the University at Buffalo School of Pharmacy and Pharmaceutical Sciences in January 2023, her main goal was to get an online version of the pharmacometrics and personalized pharmacotherapy (PPP) graduate program up and running by fall 2024.

With 13 students currently enrolled for the 2024-25 academic year, almost three times the number for the on-campus program, she appears to have achieved her goal.

“We already have a wonderful PPP program on campus that really hits a lot of the boxes for students who recently earned their undergraduate degrees in biology or chemistry or pharmacy,” said Hoefer, PhD, who also serves as associate dean for undergraduate programs and as a clinical assistant professor in the pharmacy school. “I really wanted to create an asynchronous online program for working professionals across the country and even other parts of the world.”

PPP is a rather niche discipline that includes pharmacokinetics (PK) and pharmacodynamics (PD), the study of how drugs move through the body and how the body responds to specific drugs, respectively.

Fewer than half of U.S. pharmacy schools include these two subsets of pharmaceutical science and only one other institution in the country — the University of Maryland — offers an online master’s degree in pharmacometrics and personalized pharmacotherapy, Hoefer pointed out.

Two new online programs in two years

Enrollment in UB’s online master’s program represents a nearly three-fold increase over the campus version of PPP , which began in 2018 under the direction of SUNY Distinguished Professor William Jusko, PhD. Hoefer credits this due to the program’s ability to recruit graduate students from across the country.

“We are seeing the online PPP program attract everyone from recent graduates to working pharmacists and even medical doctors who want to gain expertise in this discipline,” Hoefer said.

Hoefer also created a two-year online graduate program in pharmaceutical sciences that will launch in fall 2025. This master’s program, which immerses students in diverse aspects of drug action — from drug discovery to drug evaluation — also aims to attract more professionals who need the flexibility of an asynchronous online program.

“We are so pleased with the work that Dr. Hoefer has accomplished in just a short time,” said Gary M. Pollack , PhD, dean and professor of the pharmacy school. “She is helping our pharmacy school continue on its upward trajectory with in-demand offerings and increased enrollment. Both the pharmaceutical sciences and the pharmacometrics and personalized pharmacotherapy programs will create a pipeline for current research professionals, as we well as new graduates, to advance career opportunities in drug discovery, evaluation and development.”

Individualized drug treatment

“At UB, we’re very well known for pharmacokinetics and pharmacodynamics,” Hoefer said.

Pharmacometrics goes a step further with more quantitative modeling for a drug’s journey through the body.

“Pharmacometrics is really tracking everything to do with taking medication — from being absorbed in your body to being distributed, metabolized and excreted,” Hoefer explained. “It exams the link between biology, the physiology of an individual, and pharmacology to design more individualized dosage regimens of not only current prescription medications, but also those currently in clinical trials.”

The growing popularity of genomics and DNA ancestry tests such as 23andMe dovetail with this branch of pharmacy, which is more focused on how drugs affect an individual.

“It makes sense to focus on an individual’s DNA manual and how that manual of the body can have different responses to the drug,” Hoefer said.

The overall model of the drug can continue to be individualized based on multiple co-variables, such as age and ethnicity.

Pharmacometrics, she explained, combines multiple facets of drug design, development and trial information to aid in regulatory decisions and to predict undesired side effects of adverse drug reactions.

New micro-credential, too

Having expertise in the PPP discipline makes graduates more attractive to employers.

“Companies are seeking our students because we are the powerhouse of pharmacokinetics, pharmacodynamics, and now pharmacometrics, and this new program encompasses all of it,” Hoefer said. “A lot of employers are looking for individuals who have this pharmacometrics background because it’s looking at each stage of the drug development process in a quantitative way.”

The pharmacy school also offers a micro-credential program in pharmacometrics modeling, which provides a snippet of the graduate program over three semesters. A dozen students began this micro-credential in spring 2024 and are currently on their way to becoming the first cohort to earn this new micro-credential. Several students are considering continuing on with the master’s in PPP following their completion of the micro-credential, Hoefer added.

“What we’re seeing with our online programs are people who really want to move up in their jobs or excel in their careers,” she said. “They just need that additional certificate or diploma that says, ‘I’m an expert in this.’” 

Media Contact Information

Laurie Kaiser News Content Director Dental Medicine, Pharmacy Tel: 716-645-4655 [email protected]

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Physical therapy graduate committed to serving rural South Carolina

July 30, 2024  | Erin Bluvas,  [email protected]

Kinsey Brantley ’s career goals can be traced back to two defining moments. The first was the physical therapy she received after tearing her ACL while playing volleyball at the age of 13.

“I loved my physical therapist and the team of individuals who helped me during my rehabilitation process,” Brantley says. “I also loved watching other patients get better. I decided then I wanted to become a physical therapist and help patients in the same manner.”

The second key turning point happened when a routine stent to treat a kidney stone led to an infection, sepsis and then multi-organ failure that claimed her father’s life. Watching this series of missteps and setbacks was an experience that solidified Brantley’s decision to pursue a career in health care.

“After observing the care he received, I knew I needed to serve rural South Carolina and become the health care professional my father needed when he was hospitalized,” she says. “He has been my reason ‘why’ throughout my education.”

USC played a major role in that education – offering up three degrees as Brantley forged ahead with her plans to serve rural areas of the state, like Chesterfield County where she grew up. First, she completed an associate in science degree at nearby USC-Lancaster, earning Graduation with Leadership Distinction and the Clara P. Hammond Award.

It was at Lancaster that Brantley found her first faculty mentors – two women who would set the standard for academic excellence that she would follow throughout her college education. “Drs. Elizabeth Easley and Sarah Sellhorst pushed me to be the best version of myself I could be, despite personal circumstances,” she says. “They both provided me with endless opportunities I would not have independently sought out, and I learned that it’s important to say ‘yes’ often.” She then made the move to Columbia, graduating with a B.S. in Exercise Science at the Arnold School. She decided to stay at the Department of Exercise Science for the Doctor of Physical Therapy (DPT) program because she knew the more intimate cohort size would allow her to have closer relationships with classmates and professors.

“I called Columbia and the USC main campus home for five years, and I loved it,” Brantley says. “I enjoyed going to Soda City and every home football game I could attend. Most of all, I love how USC gave me so many friends during undergrad and graduate school.”

Where I grew up, there are few options for outpatient physical therapy and no specialty clinics. For this reason, I want to primarily be a generalist and have the ability to treat a wide variety of conditions/diagnoses so I can better serve the people in my county.

During her program, Brantley gained practical experience at medical centers and rehabilitation clinics across the state. She found mentors in all the DPT faculty and staff, crediting them with providing a great foundation for her clinical career. “Drs. Elizabeth Regan , Alicia Flach and Shana Harrington come to mind as standout professors,” Brantley says. “All three have shared an abundance of knowledge inside and outside the classroom, offered professional advice and assistance in any way they can, and overall demonstrated empathy and kindness at all times. They promote excellence in the profession through their behaviors and have influenced me to go the extra mile, be mindful and be intentional with physical therapy practice.”

After graduating in August, Brantley will launch her career as a physical therapist at McLeod Outpatient Rehabilitation Services Cheraw. The return to Chesterfield County is part of a promise she made to herself while studying at USC-Lancaster: to come back to her rural hometown to serve her local community. McLeod is also the site of Brantley’s final clinical rotation this summer, so she’s perfectly positioned to become familiar with the needs of her patients.

“Where I grew up, there are few options for outpatient physical therapy and no specialty clinics,” she says. “For this reason, I want to primarily be a generalist and have the ability to treat a wide variety of conditions/diagnoses so I can better serve the people in my county.”

Find Out More

The Doctor of Physical Therapy (DPT) program prepares top-tier physical therapists to diagnose and treat individuals of all ages that have health-related conditions that limit their abilities to move through an individualized, high-quality, and high-value clinical program rooted in exceptional, evidence-based client care.

Meet Our Class of 2024

The Arnold School is proud of our 2024 graduates, who will go on to change the world locally and globally. Learn about some of the other outstanding individuals who completed one of our 34 programs this year.

Challenge the conventional. Create the exceptional. No Limits.