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Degree Offered: PhD
Program Leadership:
Catie Oldenburg, ScD, MPH, Program Director
David Glidden, PhD, Associate Director
Admissions Inquiries:
Eva Wong-Moy, Program Manager
Program Description
The Epidemiology and Translational Science PhD program is a four to five year course of study for individuals wishing to pursue independent research careers. Incoming students have typically completed training at the master’s level in epidemiology, public health, or related quantitative research fields prior to entering the program. Students are trained in the most advanced methods for studying disease etiology and prevention; for evaluating diagnostic tests and treatment efficacy in clinical settings; and for implementing evidence-based approaches in clinical practice and population health.
The Department of Epidemiology and Biostatistics at UCSF is the largest of its kind in the ten-campus UC system in terms of full-time primary faculty and number of affiliated faculty. Epidemiology serves as a key discipline — an “epicenter” in team science and in problem-based learning, bridging basic and population sciences. It serves translational science with a critical perspective on population health and provides instruction on research methods that move basic scientific discoveries to practical clinical applications.
Faculty
The program has about 90 primary faculty members in the Department of Epidemiology and Biostatistics and an additional 60 affiliated faculty from other UCSF departments as well as from other institutions and organizations throughout the San Francisco Bay Area and the around the country. Affiliated faculty are associated with departments including general and internal medicine, cardiovascular medicine, pediatrics, psychiatry, obstetrics and gynecology, neurology, nursing, clinical pharmacy, biopharmaceutical sciences, radiology, and dentistry.
Areas of Concentration
- Aging (including cardiovascular disease, musculoskeletal disease, and dementia/brain aging)
- Bioinformatics
- Biostatistics
- Cancer epidemiology
- Clinical epidemiology and methods
- Environmental and occupational epidemiology
- Epidemiology of cardiovascular and neurological disorders
- Genetic epidemiology
- Global health
- Implementation Science
- Infectious disease epidemiology
- Lifecourse
- Machine learning
- Precision public health and computational epidemiology
- Reproductive, perinatal and neonatal epidemiology
- Social epidemiology
The Epidemiology and Translational Science Program is based at UCSF's Mission Bay campus. The doctoral program is housed in the Department of Epidemiology and Biostatistics (DEB) in the School of Medicine and is a joint effort with the University’s Clinical and Translational Sciences Institute (CTSI).
The Epidemiology and Translational Science program is offered by the UCSF Graduate Division, administered by the UCSF School of Medicine, and delivered by faculty members in the UCSF School of Medicine.
Admission Requirements
- A prior master’s degree in a field relevant to health research, such as epidemiology, public health, clinical research or a related technical field such as statistics or computer science with at least a 3.0 GPA; the following exemptions may apply:
- Applicants with exceptional research backgrounds may be accepted without a master’s degree. These students may be required, however, to complete additional coursework.
- Applicants with terminal clinical degrees (MD, PharmD, RN, NP) but no master’s will be evaluated based on their prior research experience and potential to be a leader in population health research, with the admissions committee recommending one of the following outcomes:
- Denial of admission
- Deferral of decision regarding admission to the PhD program with recommendation that the applicant pursue a master’s in the UCSF Training in Clinical Research (TICR) program, with reevaluation of the applicant at the conclusion of year 1 in the TICR program
- Direct admission to the PhD program, based on the assessment that the applicant’s prior work manifests experience and training on par with a research master’s degree
- Graduate Record Examination (GRE): Applicants are not required to take the GRE and scores will not be included for review by the admissions committee.
Learning Outcomes
We aim to train top-tier researchers and population health leaders, prepared to pursue academic careers at highly ranked, research-intensive universities or careers within health-focused non-profit, industry, or government sectors. Our incoming students include a mix of clinicians who aim to develop expertise as clinician-scientists and non-clinicians, typically with a background in public health or epidemiology. We envision our role as both providing both theoretical frameworks to identify important health research questions and technical research skills to address these questions. The PhD program aims to prepare students to lead research on both classical epidemiologic topics, i.e., the determinants of incidence and prognosis of disease, and applied problems addressing the translation from discovery science to application, implementation, and dissemination. We view the use of epidemiologic methods and perspectives, such as rigorous quantitative analyses and multilevel determinants of health and behavior, as critical for translational science intended to move basic scientific discoveries to practical clinical applications and dissemination of new basic and clinical knowledge to population health settings.
The program is grounded in the technical skills of epidemiology, emphasizing quantitative research methods such as study design, data science, statistical analyses, and interpretation. All students also adopt a substantive emphasis related to the topic of their dissertations and are expected to pursue deeper content area training in this domain to develop scientifically relevant research questions. These areas are generally aligned with recognized subdomains of epidemiology and intended to match faculty expertise so students can receive the highest degree of topic-related mentoring.
The following competencies are covered in the core section of the qualifying examination:
- Study design and sampling
- Measurement and validity
- Bias (e.g., confounding, selection bias, information bias, and random error)
- Statistical analysis
- Causal inference
Additional Information
Program Core Faculty
Career Outcomes
Degree Requirements
- Minimum GPA of 3.0
- All core courses and required activities taken and passed
- Six quarters in residence including a minimum of three registered quarters after advancement to candidacy
- Pass qualifying examination
- Completion and submission of the dissertation
- For additional details, please see: graduate.ucsf.edu/phd-degree
Core Courses
Plan of Study Grid
Year 1 |
Fall |
BIOSTAT 200 |
Biostatistical Methods in Clinical Research I |
3 |
EPIDEMIOL 203 |
Epidemiologic Methods |
4 |
EPIDEMIOL 204 |
Clinical Epidemiology |
3 |
EPIDEMIOL 270 |
Doctoral Seminar in Epidemiology and Translational Science |
2 |
GRAD 214 |
Responsible Conduct of Research and Rigor & Reproducibility 1 |
0 |
| Units | 12 |
Winter |
BIOSTAT 208 |
Biostatistical Methods II |
3 |
EPIDEMIOL 207 |
Epidemiologic Methods II |
3 |
EPIDEMIOL 270 |
Doctoral Seminar in Epidemiology and Translational Science |
2 |
GRAD 214 |
Responsible Conduct of Research and Rigor & Reproducibility 1 |
0 |
| Units | 8 |
Spring |
BIOSTAT 209 |
Biostatistical Methods III |
3 |
EPIDEMIOL 265 |
Advanced Epidemiologic Methods: Application & Interpretation 2 |
3 |
EPIDEMIOL 270 |
Doctoral Seminar in Epidemiology and Translational Science |
2 |
GRAD 214 |
Responsible Conduct of Research and Rigor & Reproducibility |
1.5 |
| Units | 9.5 |
Year 2 |
Fall |
BIOSTAT 210 |
Biostatistical Methods IV |
2 |
EPIDEMIOL 270 |
Doctoral Seminar in Epidemiology and Translational Science |
1 |
EPIDEMIOL 297 |
Research Rotation in Epidemiology & Translational Science 3 |
1-4 |
EPIDEMIOL 300 |
Clinical Research Educational Practice 4 |
2 |
| Units | 6-9 |
Winter |
EPIDEMIOL 222 |
Social Determinants of Health and Health Disparities |
2 |
EPIDEMIOL 258A |
NIH F & K Grant Writing Workshop (Online) |
3 |
EPIDEMIOL 270 |
Doctoral Seminar in Epidemiology and Translational Science |
1 |
| Units | 6 |
Spring |
BIOSTAT 215 |
Strengthening causal inferences based on observational data |
3 |
EPIDEMIOL 265 |
Advanced Epidemiologic Methods: Application & Interpretation 2 |
3 |
EPIDEMIOL 270 |
Doctoral Seminar in Epidemiology and Translational Science |
1 |
EPIDEMIOL 297 |
Research Rotation in Epidemiology & Translational Science 3 |
1-4 |
| Units | 8-11 |
Summer Term |
|
|
| Units | 0 |
Year 3 |
Fall |
EPIDEMIOL 299D |
Dissertation Research |
8 |
EPIDEMIOL 270 |
Doctoral Seminar in Epidemiology and Translational Science |
1 |
|
|
| Units | 9 |
Winter |
EPIDEMIOL 299D |
Dissertation Research |
8 |
EPIDEMIOL 270 |
Doctoral Seminar in Epidemiology and Translational Science |
1 |
| Units | 9 |
Spring |
EPIDEMIOL 299D |
Dissertation Research |
8 |
EPIDEMIOL 270 |
Doctoral Seminar in Epidemiology and Translational Science |
1 |
|
|
| Units | 9 |
Year 4 |
Fall |
EPIDEMIOL 299D |
Dissertation Research |
8 |
EPIDEMIOL 270 |
Doctoral Seminar in Epidemiology and Translational Science |
1 |
| Units | 9 |
Winter |
EPIDEMIOL 299D |
Dissertation Research |
8 |
EPIDEMIOL 270 |
Doctoral Seminar in Epidemiology and Translational Science |
1 |
| Units | 9 |
Spring |
EPIDEMIOL 299D |
Dissertation Research |
8 |
EPIDEMIOL 270 |
Doctoral Seminar in Epidemiology and Translational Science |
1 |
| Units | 9 |
Year 5 |
Fall |
EPIDEMIOL 299D |
Dissertation Research |
8 |
EPIDEMIOL 270 |
Doctoral Seminar in Epidemiology and Translational Science |
1 |
| Units | 9 |
Winter |
EPIDEMIOL 299D |
Dissertation Research |
8 |
EPIDEMIOL 270 |
Doctoral Seminar in Epidemiology and Translational Science |
1 |
| Units | 9 |
Spring |
EPIDEMIOL 299D |
Dissertation Research |
8 |
EPIDEMIOL 270 |
Doctoral Seminar in Epidemiology and Translational Science |
1 |
| Units | 9 |
| Total Units | 130.5-136.5 |
Approved Electives
This list is not exhaustive. Additional courses offered in other UCSF departments, through the University of California Intercampus Exchange program at UC Berkeley, and the Stanford University-UCSF Exchange Program are routinely approved if the courses are aligned with the student’s scientific goals.
Course List
Code |
Title |
Units |
BIO MD INF 203 | Biocomputing Algorithms | 4 |
BIO MD INF 206 | Statistical Methods for Bioinformatics | 4 |
BIO MD INF 219 | Special Topics in Bioinformatics (Computational Immunology) | 3 |
BIO MD INF 219 | Special Topics in Bioinformatics (Deep Learning) | 3 |
BIO MD INF 219 | Special Topics in Bioinformatics (Microbiome Research) | 3 |
BIO MD INF 219 | Special Topics in Bioinformatics (Neurodegenerative Disease Mechanisms) | 3 |
BIOSTAT 212 | Introduction to Statistical Computing in Clinical Research | 1 |
DATASCI 213 | (Programming for Health Data Science in R) | 2 |
DATASCI 214 | (Programming for Health Data Science in R II) | 2-3 |
EPIDEMIOL 218 | Data Collection and Management for Clinical Research | 1 |
EPIDEMIOL 226 | Informatics Tools for Health Disparities Research | 2 |
EPIDEMIOL 231 | Use of Electronic Health Records Data for Clinical Research | 3 |
EPIDEMIOL 202 | Designing Clinical Research (Two Month) | 2 |
EPIDEMIOL 205 | Clinical Trials | 2 |
BIO MD INF 219 | Special Topics in Bioinformatics (Disparities in human genetic research and health care across people with different ancestries) | 3 |
EPIDEMIOL 217 | Molecular & Genetics Epidemiology I | 2 |
DATASCI 202 | (Opportunities and challenges of complex biomedical data) | 3 |
DATASCI 216 | (Machine Learning in R for the Biomedical Sciences) | 3 |
DATASCI 217 | Introduction to Python and Data Science Tools | 1-2 |
DATASCI 223 | Applied Data Science with Python | 2 |
DATASCI 224 | Understanding Machine Learning: From Theory to Applications | 3 |
DATASCI 226 | Bayesian Methods and Gaussian Processes | 2-3 |
EPIDEMIOL 210 | Epidemiology of Aging | 2 |
EPIDEMIOL 222 | Social Determinants of Health and Health Disparities | 1-2 |
EPIDEMIOL 252A | Cancer Epidemiology | 2 |
EPIDEMIOL 252B | Cancer Epidemiology | 1 |
EPIDEMIOL 253 | Methods in Infectious Disease Epidemiology | 2-3 |
EPIDEMIOL 263 | Demographic Methods for Health | 1.5 |
EPIDEMIOL 213 | Cost-Effectiveness Analysis in Medicine and Public Health | 2 |
IMPLMT SCI 241 | Designs for Intervention Research in Real-World Settings | 2 |
IMPLMT SCI 242 | Program Evaluation to Enhance Implementation and Adaptation | 2 |
IMPLMT SCI 243 | Human Centered Design | 2 |
IMPLMT SCI 245 | Introduction to Implementation Science: Theory and Design | 2 |
IMPLMT SCI 246 | Designing Individual-Level Implementation Strategies | 2 |
IMPLMT SCI 247 | Designing Interventions to Change Organizational Behavior | 2 |
IMPLMT SCI 248 | Community-Engaged Research | 2 |
IMPLMT SCI 249 | Translating Evidence Into Policy | 2 |
IMPLMT SCI 250 | Mixed Methods Research | 2 |
IMPLMT SCI 267 | Qualitative Methods | 2 |
EPIDEMIOL 212 | Publishing and Presenting Clinical Research | 1 |
GRAD 202 | Racism in Science | 3 |
GRAD 210 | Justice, Equity, Diversity and Inclusion Academic Leadership | 4 |
GRAD 219A | Special topics in racism and social justice in science | 3 |
GRAD 219B | Special topics in racism and social justice in science | 3 |
GRAD 219C | Special topics in racism and social justice in science | 3 |
Non-course Core Requirements
- Research Team Rotations: Students are required to complete two quarters of Research Team Rotations (4 units each), similar to the lab rotation requirement in other established PhD programs at UCSF (e.g., BMS, BMI and PSPG). Research Team Rotations insert students into active research teams at UCSF or affiliated institutions. Rotations outside of UCSF affiliates may be appropriate based on the student's goals and research interests, provided appropriate mentorship is available. The student is apprenticed under a specific member of the research team (the Rotation Director), who manages and is responsible for their experience. The goal for the Rotation Director is to provide author-level involvement (i.e., participation in research at a level justifying future inclusion as an author on a subsequent publication) for the student, and to help define this involvement such that, at the end of the rotation, the student is expected to have produced a specific deliverable.
The Research Team Rotations are intended to help the student expand their breadth of expertise and are not intended to be extensions of work that the student is already undertaking with a previously selected Research Advisor. Therefore, if the student has already identified a primary Research Advisor for their dissertation work, the student is strongly encouraged to pursue Research Team Rotations with two additional faculty or researchers, who are not their Research Advisor.
The objectives of these Research Team Rotations are for students to have the opportunity to:
- Apply concepts taught in formal classes;
- Learn practical aspects of conducting research projects and public health initiatives, including how to work within a research team or group;
- Acquire exposure to areas of research other than the student’s primary area and establish broader expertise and understanding of epidemiology;
- Launch projects with potential for developing into dissertation research topics;
- Decide on a Research Advisor, if not already identified.
- Educational Apprenticeships: Students are expected to participate as an educational apprentice (EA) in one basic Training in Clinical Research course. Students will typically serve as an EA in either an epidemiology or biostatistics course in their second year. In most cases, students will have taken these courses in the first year.
- Pass two-part qualifying examination. The “Core Content” section (part one) will assess mastery of core epidemiologic methods. The “Topical” section (part two) will establish a level of expertise related to the student's anticipated research focus, by preparing a dissertation prospectus and taking an oral qualifying exam.
- Dissertation and dissertation defense: three first-authored manuscripts developed with the mentorship and oversight of the dissertation committee and approved by the committee as publishable in the peer-reviewed literature.