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 this data is the fundamental concern of our program. We offer training in statistics and biostatistics theory, computer implementation of analytic methods, and opportunities to use this knowledge in areas of biological and medical research.
Berkeley Public Health and UC Berkeley’s Department of Statistics, together with other UC Berkeley departments, offer a broad set of opportunities to satisfy the needs of individual students. In addition, the involvement of faculty from UCSF’s Department of Biostatistics and Epidemiology enriches our instructional and research activities.
Curriculum
Our master’s program is a two-year program consisting of 48 units with courses selected from biostatistics and statistics, public health, and biology.
The oral comprehensive examination is designed to test a candidate’s breadth of understanding and knowledge, as well as the ability to articulate and explain the basic concepts gained from the curriculum. Alternatively, a thesis may be submitted to fulfill requirements. However, the decision to submit a thesis rather than take the oral examination must be made early in the final semester of the program.
Students should take the following courses:
- STAT 201A: Introduction to Probability at an Advanced Level
- STAT 201B: Introduction to Statistics at an Advanced Level
- PH C240A: Introduction to Modern Biostatistical Theory and Practice
In addition to Statistics 201A and 201B and PH C240A, students are expected to take PH252D (Introduction to Causal Inference) and at least two other courses from the following list:
PH C240B: Biostatistical Methods: Survival Analysis and Causality
PH 240C: Computational Statistics
PH 252E: Advanced Topics in Causal Inference
PH 244: Big Data: A Public Health Perspective
- CS 294.150: Machine Learning and Statistics Meet Biology
PH C242C: Longitudinal Data Analysis
PH 290.X: Targeted Learning in Biomedical Big Data
Qualifications
Previous coursework in calculus and linear algebra is required.
Common undergraduate majors for admitted applicants include statistics, biomedical and biological sciences, mathematics, and computer science.
Employment
Some students pursuing the MA degree intend to continue directly into a PhD program, while others take research positions in tech companies, federal agencies, state and local health departments, health care delivery organizations, and private industry. MA students interested in continuing into the UC Berkeley Biostatistics doctoral program immediately following their MA degree should apply to the new degree program through the Online Application for Admission during their second year of study during the normal admissions cycle.
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.
Some MA and MA/PhD admitted students are made a funding offer as a part of their admission package. These offers depend on funding availability and the applicant pool for that year.
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 biostat@berkeley.edu 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
Biostatistics Faculty
Alan Hubbard PhD
Chair, Biostatistics Division
Laura B. Balzer, PhD, MPhil
Associate Professor, Biostatistics
Sandrine Dudoit PhD
Associate Dean for the Faculty and Research, Division of Computing, Data Science, and Society
Xiongtao Dai, PhD
Assistant Professor, Biostatistics
Mi-Suk Kang Dufour PhD, MPH
Associate Adjunct Professor, Biostatistics
Lexin Li PhD
Professor, Biostatistics
John Marshall PhD
Associate Professor, Epidemiology and Biostatistics
Maya Petersen MD, PhD
Professor, Epidemiology and Biostatistics
Corinne Riddell PhD, MSc
Assistant Adjunct Professor, Biostatistics
Alejandro Schuler, PhD
Assistant Professor in Residence, Division of Biostatistics
Mark van der Laan PhD
Professor, Biostatistics and Statistics
Jingshen Wang, PhD
Assistant Professor, Biostatistics
Clinical Faculty
Emeritus
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
Alumni Directory
Kelly Street, MA Spring 2014
Accepted into the PhD program in Biostatistics, UC Berkeley
Anthony Oleg (“Toki”) Sherbakov, MA Spring 2015
Head of Business Development, Peregrine Technologies
Mary Ava Combs, MA Spring 2016
Accepted into the PhD program in Biostatistics, UC Berkeley
Cheng Ju, MA Spring 2016
Accepted into the PhD program in Biostatistics, UC Berkeley
Jonathan L. Larson, MA Spring 2016
Accepted into the PhD program in Biostatistics, Harvard
Jonathan Levy, MA Spring 2016
Accepted into the PhD program in Biostatistics, UC Berkeley
Minh Chau Thanh Nguyen, MA Spring 2016
Accepted into the PhD program in Biomedical Informatics, Stanford
Courtney Schiffman, MA Spring 2016
Accepted into the PhD program in Biostatistics, UC Berkeley
Denise Shieh, MA Spring 2016
Accepted into the PhD program in Biostatistics, Columbia University
Andre K. Waschka, MA Spring 2016
Assistant Professor of Statistics at Mercer University
Weixin Cai, MA Spring 2017
Deep Learning Researcher, Microsoft
Suzanne Dufault, MA Spring 2017
Accepted into the PhD program in Biostatistics, UC Berkeley
Nima Hejazi, MA Spring 2017
Accepted into the PhD program in Biostatistics, UC Berkeley
Ivana Malenica, MA Spring 2017
Accepted into the PhD program in Biostatistics, UC Berkeley
Lina Maria Montoya, MA Spring 2017
Accepted into the PhD program in Biostatistics, UC Berkeley
Thomas M. Carpenito, MA Spring 2018
Accepted into the PhD program in in Population Health, Northeastern University
Partow Imani, MA Spring 2018
Accepted into the PhD program in Biostatistics, UC Berkeley
Rachael Phillips, MA Spring 2018
Accepted into the PhD program in Biostatistics, UC Berkeley
Hector M. Roux de Bezieux, MA Fall 2018
Accepted into the PhD program in Biostatistics, UC Berkeley
Fausto Andres Bustos Carrillo, MA Spring 2019
Director of Epidemiology and Statistics for the Sustainable Sciences Institute
Sonali Dayal, MA Spring 2019
Machine learning engineer, seven.me
Maxwell R. Murphy, MA Spring 2019
Accepted into the PhD program in Biostatistics, UC Berkeley
James Philip Roose, MA Spring 2019
Quantitative Scientist, Flatiron Health
Linqing Wei, MA Spring 2019
Accepted into the PhD program in Biostatistics, UC Berkeley
Sarah GlenLyn Johnson, MA Fall 2019
into the MPH program in Maternal, Child, and Adolescent Health, UC Berkeley
Nicholas Sim, MA Fall 2019
Accepted into the PhD program in Biostatistics, UC Berkeley
Asem Berkalieva, MA Spring 2020
Biostatistician at the Icahn School of Medicine at Mount Sinai
Philippe Andre Boileau, MA Spring 2020
Accepted into the PhD program in Biostatistics, UC Berkeley
Edie Espejo, MA Spring 2020
Research Statistician @ NCIRE
Zhiyue Hu, MA Spring 2020
Accepted into the PhD program in Biostatistics, UC Berkeley
David Chen, MA Summer 2020
Accepted into the PhD program in Biostatistics, UC Berkeley
Yutong Wang, MA Summer 2020
Accepted into the PhD program in Biostatistics, UC Berkeley
Casey Breen, MA Spring 2021
PhD Candidate, UC Berkeley Department of Demography
Haodong Li, MA Spring 2021
Accepted into the PhD program in Biostatistics, UC Berkeley
Yang Li, MA Spring 2021
Lauren Liao, MA Spring 2021
Accepted into the PhD program in Biostatistics, UC Berkeley
Aidan McLoughlin, MA Spring 2021
Accepted into the PhD program in Biostatistics, UC Berkeley
Hao Wang, MA Spring 2021
Accepted into the PhD program in Biostatistics, UC Berkeley
Yi Li, MA Summer 2021
Accepted into the PhD program in Biostatistics, UC Berkeley
Feng Ji, MA Summer 2021
Accepted into the PhD program in Biostatistics, UC Berkeley
