biostatistics phd programs germany

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Doctoral degree in Public Health or PhD in Health Data Sciences

In the area of Public Health, you have different options:

• PhD within the framework of the structured PhD program Health Data Sciences
• Individual doctorate (Dr. med, Dr. rer. medic.), supervised by IPH staff
• PhD (Dr. PH) in the doctoral program of the TU Berlin, department of Management in Healthcare

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• Doctorates and PhD

Doctorates and PhD Programs

PhD Health Data Sciences The newly established PhD program Health Data Sciences is designed for qualified young scientists who would like to deepen their methodological knowledge in the fields of biostatistics, epidemiology, meta-research, population health science, or public health and further expand their competence in research and teaching. Information on the structured PhD program in Health Data Sciences (HDS) can be found on the website . 

Individual doctorate Students studying medicine at Charité - Universitätsmedizin Berlin or at another institution can apply for a doctorate at the IPH. Unfortunately, however, our staff capacities for supervising doctoral students at the IPH are limited. Publications in scientific journals are the declared goal of an individual doctorate at the IPH. If you are interested in an individual doctorate in the field of Public Health / Epidemiology, please send your request with a d etailed description of the study project and your curriculum vitae to Dr. Toivo Glatz .

Doctorate (Dr. Public Health) Please refer to the web pages of the Department of Management in Healthcare at the TU Berlin.

For general information on the various doctoral opportunities at the Charité, please visit the website of the Promotion Office .

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• List of Universities

2729 Study programs

Study Biostatistics in Germany: 7 Universities with 7 English Degree Programs

All important info for international students in germany (2024/2025).

Biostatistics is the confluence of biology and statistics, providing vital tools to decipher complex biological data. In this discipline, students dive deep into quantitative methods, data analysis, and computational techniques tailored for health and biomedical challenges. By interlacing mathematical theories with biology, students will grasp how to design experiments, interpret biological phenomena, and make informed decisions. Those delving into Biostatistics are equipped to analyze clinical trials, study genetic data, or model disease outbreaks. As they advance, students can flourish as biostatisticians, data analysts, or epidemiological researchers, leveraging numbers to drive advancements in health and medicine.

Study Programs in English

Universities

Universities in International Rankings

€ 0 (4 programs for EU citizens, 3 programs for Non-EU citizens)

€ 5,100 per semester (1 program for EU citizens/Non-EU)

Winter Semester

between June 15 and May 15

Summer Semester

between and

Top-ranked German Universities in Biostatistics

public University

No. of Students: approx. 8,900 students

Program Fees: € 5,100 (per semester)

No. of Students: approx. 27,000 students

Program Fees: € 0 - € 1,500 (per semester)

Tuition Fees

3 english degree programs for biostatistics in germany.

Munich University of Applied Sciences Munich

Paper technology (continuing education).

University of Freiburg Freiburg im Breisgau

Biomedical sciences.

Ruhr-Universität Bochum Bochum

Sport and excercise sciences for health and performance.

Application Deadlines

Winter Semester 2024/2025

Summer Semester 2025

Winter Semester 2025/2026

Open Programs

Application Modes

Application process.

Deggendorf Institute of Technology Deggendorf

Life science informatics.

Charité - Universitätsmedizin Berlin Berlin

Epidemiology.

University of Bremen Bremen

Medical biometry / biostatistics.

TOEFL Scores

Cambridge Levels

5 (1 program )

72 (1 program )

B2 First (FCE) (1 program )

7 (1 program )

95 (1 program )

C2 Proficiency (CPE) (1 program )

1 English Degree Program for Biostatistics in Germany

University of Tübingen Tübingen

Population-based medicine.

2-4 semesters

→ View all programs with online courses

Master of Engineering

Master of Science

Winter intake

Summer intake

Winter & Summer intake

List of all German Universities offering English-taught Study Programs in Biostatistics

Charité - Universitätsmedizin Berlin

Program Fees: € 5,100

M.Sc. (Master of Science)

Deggendorf Institute of Technology

Program Fees: € 0

Munich University of Applied Sciences

Program Fees: € 4,000

M.Eng. (Master of Engineering)

Ruhr-Universität Bochum

University of Bremen

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Our working group conducts teaching and research in the area of biostatistics.

Most of our courses are targeted at students from the statistics and data science master at LMU, as well as the Elite Data Science Master. We lecture on statistical methods in epidemiology, causality, and supervise theses and practical projects of certain modules.

Our research is funded by the German Research foundations Heisenberg Program as well as the DFG project "Continuous Interventions in Epidemiology: from Theory to Practice". In these projects, causal inference methods for longitudinal continuous interventions are developed, and applied to (phamaco-)epidemiological questions.

Other research projects include the computational angles when integrating machine learning algorithms into causal effect estimation, causal fairness concepts, missing data methods, quantitative methods in public health and comparative effectiveness research in infectious disease epidemiology, longitudinal mediation analyses, among others.

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New working paper.

Causal Inference for Multiple Time Point Interventions more

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M.Sc. Medical Biometry/Biostatistics

interdisciplinary - practice-oriented - excellent career prospects

The Study Programme

Biostatistics as a science of modelling and analysis of quantifiable biomedical processes and phenomena opens up a wide range of applications from prevention, treatment of environmental risks, consumer protection, health care, research and development, regulatory review and approval to health care reform. National and European laws and directives are creating a growing need. In order to meet this demand, the University of Bremen has established the international Master's programme "Medical Biometry/Biostatistics". The aim of the course is to enable students to independently carry out scientific work in medical biometry, as for example the statistical planning and evaluation of empirical studies and the mathematical modelling of correlations in biology and medicine.

The program is offered each two years in English and deepens the basic knowledge of mathematics and statistics from the previous bachelor's program. It extends the knowledge and skills of the students especially in the field of medical research. It places emphasis on interdisciplinarity and practical relevance. A broad spectrum of knowledge for the professional profile of biostatisticians is acquired. Not only practical skills for planning and evaluating empirical studies are taught, but also methodological and medical basics as well as legal and ethical aspects. An internship is integrated, e.g. in institutes, companies, authorities or clinics, in which the students experience work situations and work requirements in a relevant professional field. Students are familiarised with the current state of research in methodology and application through these offers. Care is taken to ensure that students can exchange information, ideas and problems at a high scientific level in interdisciplinary teams and take responsibility for solutions.

In the courses on ethics and legal regulations, students deal in detail with the ethical aspects relevant to clinical studies. In addition, general aspects and backgrounds of ethical and legal content are discussed. This enables students to reflect on their tasks and to maintain or demand high ethical standards. In addition, personality development is promoted and a sensitisation to the civil society responsibility of one's own actions is achieved.

Fields of activity

Excellent career opportunities are opened up for graduates by the objective of the initiative (training of biostatisticians, in particular for clinical research) in a national and international environment in the following areas

Health authorities, regulatory agencies, etc.

University research institutions

Pharmaceutical industry

Medical technology industry

• CRO s (companies that specialize in conducting clinical trials as service providers)

Pharmaceutical research is a classic field of application, but biotechnology and medical technology are becoming increasingly important. The Master of Science degree opens up an interesting occupational field with a high international demand for appropriately trained specialists, but also the opportunity for subsequent doctoral studies. Therefore, the Master's programme gives holders of a foreign Bachelor's degree the opportunity to qualify for a doctorate at a German university. The Master of Science also makes it easier for German students to gain a doctorate at foreign institutes and universities.

Participating institutions

The training is carried out in Faculty 3 (Mathematics and Computer Science) of the University of Bremen in a cooperation between the Competence Center for Clinical Studies Bremen (KKSB) and the Leibniz Institute for Prevention Research and Epidemiology - BIPS GmbH with the participation of the Cooperation Center Medicine of the University of Bremen (KOM). The KKSB is a cooperation institution between the University of Bremen and the Klinikum Bremen-Mitte. It consists of two departments: the Biometry Department, which is part of Department 3 of the University of Bremen, and the Pharmacology Department of the Bremen-Mitte Clinic. The BIPS covers the entire cycle of epidemiological research. The methodologically oriented professorial positions of the Leibniz Institute for Prevention Research and Epidemiology - BIPS belong to Department 3 of the University of Bremen. The KOM was founded in 2004 and offers a framework for joint research activities between physicians of the Bremen clinics and scientists of the university. The center develops interdisciplinary teaching concepts for university education at all levels as well as for further education and training. It currently has about 100 members, about half each from the Bremen clinics and the university.

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Humboldt-Universität zu Berlin - Faculty of Life Sciences

Biostatistics.

Course in biostatistics/ biometry at HU

Courses on statistics and software applications provided by fu:stat

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Supervisors, dissertations at the department of statistics, "statistics: theory and methods of empirical modeling".

Welcome to the website of the doctoral program "Statistics: Theory and Methods of Empirical Modeling" of the Department of Statistics at the LMU in Munich.

Our main goal is to provide doctoral candidates with a perspective on the methodical foundations of Statistics that goes far beyond a specialization in the life, social or economic sciences or the humanities and to . institutionalize a scientific dialogue through interdisciplinary applications. This is to ensure that, going forward, we can rely on a common academic foundation and language as well as a diversity of methods for the description and modeling of uncertainty in various applications. 

Contact 

Address .

Ludwig-Maximilians-Universität München Department of Statistics  Ludwigstraße 33 80539 München

Speaker of the doctoral program  

Prof. Dr. Göran Kauermann

Coordination of the doctoral program

Dr. Michael Windmann

13.10.2016: JOURNALS CLUB

• November 8th, 2016: Fabian Scheipl: S. Wood, N Pya, B Säfken, Smoothing parameter and model selection for general smooth models abstract at arxiv.org
• December, 6th, 2016: Malte Kurz, tba

February, 7th, 2016: Georg Schollmeyer, tba

time: 16:00 c.t. location: all talks take place in the lecture room of the Statistics Department ( room 144, Seminarraum Ludwigstrße 33 )

13.10.2016: SUMMER RETREAT 2017

The summer retreat 2017 will take place at 23rd/24th of June 2017. location: BVS Bildungszentrum, Holzhausen am Ammersee.

Moodle course for organization

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PhD Data Management and Statistics

How many doctoral students received their doctorate in the past year? And what was the composition of the doctoral students at the University of Bonn? Our annual PhD statistics answer these and other questions.

In our newsletter Bonn Doctoral Bulletin we regularly publish further key figures on our doctoral students.

Facts and Figures

Doctoral students at the university are members of an interdisciplinary research community that includes the seven faculties in Bonn. In 2022, a total of 6,456 young researchers did their doctorate at the University of Bonn. Another 579 doctoral students were able to successfully complete their doctorate.

Doctoral degrees according to PhD statistics 2022:

• Faculty of Mathematics and Natural Sciences: 215
• Faculty of Medicine: 212
• Faculty of Agriculture: 57
• Faculty of Arts: 48
• Faculty of Law and Economics: 41
• Faculty of Protestant Theology: 5
• Faculty of Catholic Theology: 1

Ongoing Doctorates

Completed Doctorates

Female Doctoral Students

Where do our doctoral students come from?

The University of Bonn has an international body of doctoral students: the proportion of doctoral students with foreign citizenship is 25.9 percent. About 29 percent of all young researchers are already doing their doctorate within the framework of a structured program.

International Doctoral Students

Bonn International Graduate Schools

In a Structured Program

Why is which data collected?

As a result of the amendment to the University Statistics Act of March 6, 2016 (HStatG), the University of Bonn is obliged to collect data from its doctoral candidates. These include, for example, the type and duration of the doctorate as well as the doctoral subject. Further information about the HStatG and the data collected by the university can be found here (in German).

In order to further improve the data situation, we will introduce a central administrative system in the future. Until this system is in place, you can support us by filling out our questionnaire and sending it to your doctoral office .

Carina Teichrib

[email protected]

[email protected]

+49 228 73-60186

Other exciting facts and figures about the university, such as the number of professors or the total area of our campus.

Bonn Doctoral Bulletin

Stay up-to-date on important topics on doctoral studies and subscribe to our newsletter.

First steps towards a doctorate

Each faculty determines its own doctoral regulations. Here you will find information about the formal requirements of your faculty and the first steps towards a doctorate.

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Higher Education Compass

Medical biometry/biostatistics full time, master of science.

Master Degree

4 semesters

Standard period of study (amount)

Please enquire

Overview and admission

Admission semester.

Winter Semester only

Area of study

Biometry, Biostatistics

Target group

Graduates in mathematics with interest in biometry and statistics

The study programme begins every two years (even number years) in the winter semester.

Admission modus

open admission

Admission requirements (Link)

Admission requirements

Prerequisite to participate in a Master's degree programme is the completion of a course on Bachelor's degree level. The subject-specific admission requirements are regulated in the current acceptance/admission regulations (see www.dbs.uni-bremen.de or www.uni-bremen.de/master). These also include information about the different deadlines for submission of academic records.

Lecture period

• 11.04.2023 - 14.07.2023
• 07.10.2024 - 31.01.2025

Application deadlines

Winter semester (2024/2025), application deadline for germans and inhabitants.

Application deadlines for MASTER’S degree programme at: http://www.uni-bremen.de/master

Deadlines for International Students from the European Union

identical with general or degree programme-specific deadlines

Deadlines for international students from countries that are not members of the European Union

Enrollment deadline for germans and foreign students.

as per notification of admission/enrolment confirmation

Tuition fee

Fees (Link)

Languages of instruction

Main language, further languages.

Deutscher Akademischer Austauschdienst e.V. Kennedyallee 50 53175 Bonn

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Medical Biometry/Biostatistics

Course outline Course structure Formalities Academic Advisor Contact

Medical Faculty Heidelberg

Course outline

To plan and conduct medical research projects successfully, biometricians need not only methodological skills but also a sound knowledge of medicine and various other fields, plus the ability to collate these skills efficiently. Worldwide there is a very large demand for academically trained biometricians, a demand that cannot be satisfied in Germany at present for lack of appropriate basic training courses. The same is truer of other EU counties, although most of them lay on degree courses (the graduates of which are mostly referred to as biostatisticians).

In Germany it was a logical consequence of the Bologna process to transform the only existing postgraduate university course in Medical Biometry into a part-time M.Sc. programme. It satisfies European requirements regarding the structuring and modularisation of courses and the systematic implementation of these rules in curriculum planning. Accordingly, the programme is fully in line with international standards. The part-time degree course in Medical Biometry/Biostatistics is a competitive contender on the European university marketplace and the qualifications it bestows on its graduates are recognised Europe-wide. Successful graduates are awarded the degree of Master of Science (M.Sc.).

The degree programme covers the theoretical part of the GMDS certificate “Biometrie in der Medizin” (Biometry in Medicine) This certificate is a proof of qualification for responsible biostatisticians in approval studies and is accepted by BfArM (Federal Institute for Drugs and Medical Devices) and EMEA.

Course structure

Medical Biometry/Biostatistics is a career-integrated M.Sc. course involving a total of 23 face-to-face lectures and seminars. The individual classes take place in blocks, from Thursday to Saturday. Attendance is compulsory. Each class ends with an examination.

The programme lasts four semesters, with seven to eight classes to attend in the first three semesters. The fourth semester is reserved for the M.Sc. thesis and the attendance of further alternating electives. 120 ECTS credit points are awarded for successful completion of the programme.

The part-time M.Sc. in Medical Biometry/Biostatistics started in the winter semester of 2006/2007 and is offered at two-year intervals. The precise procedures and deadlines for admission and application can be found on the website of the Insitute for Medical Biometry and Informatics .

Flyer for M.Sc. In Medical Biometry/Biostatistics

Curriculum (modules)

Classes: Biometry I / Biometry II / Experimental Planning

This module contains four classes on biometric methods. Biometry I and Biometry II deal with the foundations of methodological theory and biometric models, linking the statistical knowledge required for the course with medical issues. The important aspect of study planning is deepened in the course on Experimental Planning. The course focuses on the description of procedures required when taking random samples and discusses various study designs.

Statistical Procedures

Classes: General Linear Models / Generalised Linear Models / Survival Time Analysis

This module takes a more analytic and searching look at the topics discussed in Biometry I and Biometry II. The aim is to acquaint the students with the various models and potential solutions for medical questions. Besides handling linear models, it focuses on Survival Time Analysis.

Studies module

Classes: Ethical, Regulatory and Statutory Requirements / Clinical Studies I and Clinical Studies II

This module links methodology with practical application in different study situations. It supplies students with the legal and ethical framework for professional action.

Data Management

Classes: Data Management I and Data Management II

This interdisciplinary module centres on skills in the practical handling of data in medical research projects and information flows in research networks (data structures, databases, data quality, data protection). Besides theoretical data models and approaches to data management, students learn a programming language (mainly SAS ® and R) for handling, checking and evaluating study data.

Epidemiology

Classes: methodological foundations of epidemiology gy.

This module deals with the methods used for detecting and rating risk factors operative in the emergence of diseases. The material is the counterpart to the Studies module, which concentrates on assessing the use of treatment in manifest diseases.

Classes: Foundations of Medicine / Medical Specialisations I and II / Methods in Clinical Pharmacology

This module provides the medical background knowledge necessary for all the other modules. Besides Foundations of Medicine, two further classes deal with the theory of disease and main research areas of two clinical specialisations. Clinical Pharmacology sheds light on a further interdisciplinary field of application with special biometric methods.

In-Depth Study

The In-Depth Study module assembles various elective topics. Classes in this module can be replaced by additional classes from the fourth semester. These substitute classes differ from one run-through of the course to the next and are not specified here. The class Special Topics in Biometry is an introduction to specific aspects of biometry. The Multiplicity class deals with multiple issues, the problems they pose and the statistical solutions that suggest themselves. In the classes Diagnostic Studies and Preclinical Studies students are acquainted with studies on the evaluation of diagnostic tests and studies designed to clear up potential risks in the development of medicines. The Molecular Medicine class is a response to the growing significance of genetic approaches to diagnosis and therapy, Evidence-Based Medicine is an introduction to the procedures used in evidence-based medicine.

You can download the entire Module Handbook here . 

Formal requirements

Access to the course is restricted. Please consult the Admission Regulations here .

Closing date for applications

The course is offered every two years. The closing date for applications to the next course is 15 June 2020.

Application procedure

Applications must be addressed to the Institute of Medical Biometry and Informatics.

Current information on procedure

Further information

Website of the Medical Faculty Heidelberg

Examination regulations

Examination regulations (22 July 2010)

Examinations board

Issues arising in connection with examinations, credit transfer and academic credential recognition are dealt with by the relevant examinations board/office. For more information, consult the academic advisor indicated below.

Tuition fees

The tuition fees for the whole programme (4 semesters) total EUR 12,000. They are payable in four instalments of EUR 3,000 two weeks before the beginning of the relevant semester (final date). Addressee is the account of the Institute for Medical Biometry; a bank transfer slip will be sent out before the beginning of each semester.

Furthermore, a contribution must be paid to the student services organization and there is an administrative fee .

Further information is available on the website of the Institute for Medical Biometry and Informatics .

Academic advisor

Dr. Marietta Kirchner [email protected]

Im Neuenheimer Feld 130.3 12th floor, Office 315 phone: +49 (0)6221-56-7784 fax: +49 (0)6221-56-4195

Heidelberg University Department of Medical Biometry at the Institute of Medical Biometry and Informatics Im Neuenheimer Feld 130.3 D-69120 Heidelberg

Contact person

Dr. Marietta Kirchner Office hours: by arrangement

e-mail: [email protected] Internet: www.biometrie.uni-heidelberg.de/master Location: www.klinikum.uni-heidelberg.de/Wegbeschreibung.120451.0.html

Please note

Bremen University offers a full-time M.Sc. course in Medical Biometry/Biostatistics . Contact: Dr. Stephan Kloep, Tel.: +49 (0)421-218-63797; [email protected]

13 biostatistics-PhD positions in Germany

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Leading Bioinformatician (Junior Group Leader) – single-cell sequencing

Oncology Mainz TRON. As a leading bioinformatician you will work alongside other bioinformaticians, clinicians, postdocs and PhD students within the working group, department and university medical center

leading bioinformatician (junior group leader) - single-cell sequencing

, Adaptation and Longevity Initiative and the Translational Oncology Mainz TRON. As a leading bioinformatician you will work alongside other bioinformaticians, clinicians, postdocs and PhD students within

Computational Scientist / Bioinformatician (m/f/d)

degree (MSc/ PhD ) in a relevant field (e.g Bioinformatics Informatics, Computational Biology, Biostatistics , Data Sciences preferably with a background in NGS analysis. the applicants should be highly self

PhD Student in Medical Sciences (m/f/d)

Medicine in Hamburg is looking for a highly motivated PhD Student in Medical Sciences (m/f/d) -65% EG 13 TV-AVH- with a focus in Epidemiology, Biostatistics and Clinical Research We are seeking a motivated

PhD position on Molecular and phenotypic thresholds of antibiotics to protect aquatic microbial community structure and functioning

), committed to contribute to research, training, dissemination, communication and exploitation of results targeting end-users such as environmental consultancies and agencies. DESCRIPTION OF THE PhD PROJECT

PhD / Doctorate •

programme. Examples include stem and germ cells, biostatistics , developmental cell biology, neurosciences, and modelling and simulation of biological systems. In addition, PhD students at the DIGS-BB have

Degree Doctoral degree (Dr rer nat or PhD ) In cooperation with University of Cologne, Cologne Max Planck Institute for Plant Breeding Research (MPIPZ), Cologne Forschungszentrum Jülich (FZJ

Degree Doctoral Degree (Dr rer nat or PhD ) Course location Köln In cooperation with Heinrich Heine University (HHU), Düsseldorf Max Planck Institute for Plant Breeding Research (MPIPZ) Cologne

deadline Consult the website: https://www.sgbm.uni-freiburg.de Tuition fees per semester in EUR Varied Combined Master's degree / PhD programme No Joint degree / double degree programme No Description

PhD student (f/m/d)

research activities also encompass barley, German chamomile, common bean, soybean, maize, rye, Arabidopsis, and canola. In the frame of a third party funded research project, we are looking for a PhD student

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Biomedical Graduate Studies

Epidemiology and biostatistics graduate group.

• Biostatistics

Welcome to the Biostatistics Program!

The Graduate Group in Epidemiology and Biostatistics in the Perelman School of Medicine at the University of Pennsylvania, offers graduate training programs leading to the Master of Science (MS) and Doctor of Philosophy (PhD) degrees in Biostatistics.

The goal of the  MS program   is to train students in the theory and application of statistical methods in the biomedical sciences.  The MS degree, which one can earn in two years of full-time study, requires successful completion of a written qualifying exam and the preparation of a Master’s thesis.  Courses include probability, mathematical statistics, epidemiology, and statistical methods including categorical data analysis, linear models, multivariate methods, survival analysis, statistical computing and applied data analysis.

The  PhD program  aims to train independent researchers to fill leadership roles in the development and application of statistical methods in health research.  Doctoral students take the courses for the MS program plus at least one additional semester of advanced courses in statistical theory and methods, a minor sequence in biomedical science, and a choice of advanced electives.  Students must also pass both written and oral qualifying examinations, complete an advanced data analysis project, and write and defend a doctoral dissertation.

Biostatistics faculty and students at Penn are involved in biostatistical  methodological research  spanning many intellectually diverse areas. Areas of research include Bayesian methods, causal inference, clinical trials, clustered data, longitudinal data analysis, missing data, imaging, statistical genetics and bioinformatics, survival analysis, and survey research. We are engaged in collaborative research with researchers throughout the Schools of Medicine, Nursing, Veterinary Medicine, Wharton and elsewhere. Our students often collaborate with and take course with the  Statistics Department of the Wharton School .

Eli Elliott Coordinator, Graduate Group in Epidemiology and Biostatistics University of Pennsylvania School of Medicine Tel: 215-573-3881 e-mail:  [email protected]

PhD in Biostatistics

Prepare for a career at the forefront of biostatistics and bioinformatics theory and practice.

As a PhD in biostatistics candidate at the Harvard T.H. Chan School of Public Health, you will develop deep expertise in the theory and practice of biostatistics and bioinformatics, working alongside faculty who are leaders in both statistical theory and its application to health research. You will learn to work with big data and use powerful statistical tools to drive discovery using complex datasets. You will also conduct original research in collaboration with laboratory, clinical, and biomedical scientists from around the globe to identify and solve problems that threaten the lives and health of people everywhere.

With a PhD in biostatistics from the Harvard Chan School, you will be prepared for a high-impact career in academia or a research or leadership role in government or within the health care, pharmaceutical, or biomedical industries. You will also be positioned to play an important role in safeguarding public health and improving lives through quantitative research.

The PhD in biostatistics curriculum is focused on devising solutions to public health problems through the development of five key competencies in every student:

• Applying innovative probabilistic and statistical theory and computing approaches to the development of new biostatistical or bioinformatics methods, and publishing this original research in academic journals
• Providing leadership in the design, conduct, and analysis of collaborative research studies in medicine and public health
• Applying modern statistical and computational methods to effectively analyze complex medical and public health data, including the development of new software for nonstandard problems and simulation methods
• Collaborating and communicating effectively with research scientists in related disciplines
• Teaching biostatistics or bioinformatics effectively to health professionals, research scientists, and graduate students

All students admitted to the PhD in biostatistics program, including international students, are guaranteed full funding, which includes a stipend as well as tuition and health insurance for four years, provided they make satisfactory progress. In practice, many students require a fifth year to complete the doctoral program, and financial support for this 5 th year will be available with approval of the department.

WHO SHOULD APPLY?

All candidates for admission to the PhD in biostatistics program must have a strong background in mathematics—with college-level coursework successfully completed through multivariable calculus and at least one semester of linear algebra—as well as knowledge of at least one computer programming language. We strongly encourage additional coursework in quantitative areas including probability, statistics, numerical analysis, and advanced calculus or real analysis, as well as in biology, computational biology, and genetics (if interested in bioinformatics). Experience using a statistical computing platform such as SAS, Splus, R, Stata, or SPSS is also encouraged. Knowledge of a scripting language such as Python or Perl and some familiarity with relational databases is recommended for those interested in bioinformatics.

APPLICATION PROCESS

Like all PhD (doctor of philosophy) programs at the School, the PhD in biostatistics is offered under the aegis of the Harvard Kenneth C. Griffin Graduate School of Arts and Sciences (Harvard Griffin GSAS). Applications are processed through the Harvard Griffin GSAS online application system located at gsas.harvard.edu/admissions/apply.

OUR COMMUNITY: COMMITTED, ACCOMPLISHED, COLLABORATIVE

As a student in the PhD in biostatistics program, you will join a community of leading scientists and educators from around the world, working alongside world-renowned faculty members and collaborating with peers from across the globe. Our location in the heart of Boston’s Longwood Medical Area—home to Harvard Medical School, the Dana-Farber Cancer Institute, and many world-class hospitals—makes collaboration with eminent laboratory and clinical researchers a natural part of the educational experience. And when you graduate, you will benefit from Harvard’s unparalleled global network of alumni leaders.

LEARN MORE Visit our website at www.hsph.harvard.edu/biostatistics [email protected]

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Doctor of Philosophy (PhD)

Offered By: Department of Biostatistics

Onsite | Full-Time | 5 years

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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, 2023. VTSI applicants are eligible for an  application fee waiver , but the fee waiver must be requested by November 15, 2023 and prior to submission of the SOPHAS application.

Admitted PhD students are automatically considered for full funding, including five years of full tuition coverage, a paid research assistantship and individual health insurance.

Need-Based Relocation Grants Students who  are admitted to PhD programs at JHU starting in Fall 2023 or beyond can apply to receive a $1500 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]