UCT MSc Epidemiology and Biostatistics: Complete 2026 Guide

Why Study Epidemiology and Biostatistics at UCT

The University of Cape Town’s MSc in Epidemiology and Biostatistics stands as one of the most established quantitative health sciences programs in sub-Saharan Africa. Offered through the School of Public Health within the Faculty of Health Sciences, this program builds on more than 30 years of teaching excellence in these disciplines. For prospective students in 2026, the UCT MSc Epidemiology and Biostatistics offers a rigorous, internationally recognized qualification that opens doors across academia, research institutions, and global health organizations.

Epidemiology — often called the “basic science” of public health — is the study of how diseases and health conditions distribute across populations, including the factors that influence these patterns and the interventions that can ameliorate them. Biostatistics complements this by applying statistical techniques to health science problems, helping researchers make valid inferences from epidemiological data. Together, these disciplines form the analytical backbone of modern public health practice and policy.

The program is convened by Professor Landon Myer, who brings credentials from Brown University, Columbia University, and UCT itself. Based at the Health Sciences Campus in the Falmouth Building on Anzio Road in Observatory, Cape Town, the School of Public Health is guided by values of openness, social engagement, mutual respect, social justice, and lifelong learning. For students considering quantitative health research programs worldwide — whether at ETH Zurich’s health sciences programs or South Africa’s premier research university — understanding what UCT offers is essential.

Program Structure and Degree Overview

The UCT MSc in Epidemiology and Biostatistics (program code MM012PPH02) is a mixed-mode degree combining coursework with a substantial research component. The degree designation is Master of Science, with “Epidemiology and Biostatistics” inscribed as the specialization on the certificate.

The program requires a total of approximately 1,800 notional hours, distributed across three main areas: 260 hours of classroom teaching and practicals (approximately 32 hours per course), 700 hours of formal assignments, reading, and project work, and a minimum of 900 hours dedicated to the dissertation. Students can pursue the degree either full-time or part-time, though it is important to note that this is a face-to-face program — not distance learning. Students must be present in Cape Town for all coursework.

The coursework component consists of six compulsory core courses and two electives chosen from a list of four options. The mini-dissertation carries equal weight to the entire coursework component at 50 percent of the degree, and both must be independently passed. Most students complete the program in 24 months, though part-time students may take three to four years. The university expects completion within four years, with a fifth year permitted routinely and longer periods requiring special Faculty dispensation.

Core Curriculum: Eight Compulsory Courses

The six core courses provide a comprehensive foundation in both epidemiology and biostatistics, building skills progressively from introductory concepts to advanced analytical methods.

Introduction to Epidemiology (PPH7018F)

Convened by Dr. Alex de Voux (BSc, MSc Cape Town, PhD Emory), this first-semester course covers the fundamental measures of disease occurrence and association, key study designs, random error, bias and confounding, demography and standardization, prevention and screening, causal inference, and critical appraisal of scientific literature. This course establishes the epidemiological foundation upon which all subsequent courses build.

Biostatistics I (PPH7021F)

Co-convened by Luke Hannan (BSc, MPH Cape Town) and Elton Mukonda (BSc, MPhil, PhD Cape Town), this first-semester course introduces populations and samples, sampling methods, descriptive measures, graphical techniques, probability distributions, estimation, hypothesis testing, power calculations, and measures of association including risk ratios and odds ratios. All techniques are applied using statistical software, ensuring students develop practical analytical skills alongside theoretical understanding.

Biostatistics II (PPH7092S)

Building on the foundations of Biostatistics I, this second-semester course requires a pass in both Biostatistics I and Introduction to Epidemiology. It advances students’ statistical capabilities with more complex analytical methods and modeling approaches relevant to health research.

Biostatistics III (PPH7095F)

This advanced course requires at least a 65 percent pass in Biostatistics II and covers survival analysis, analysis of longitudinal and clustered data, and advanced topics in statistical modeling. Convened by Frissiano Honwana (BSc, MSc UKZN) and Hayli Geffen (BSc, MSc Cape Town), it represents the highest level of biostatistical training in the program.

Quantitative Research Methods (PPH7070S)

Convened by Dr. Alex de Voux, this second-semester course covers program monitoring and evaluation, research question formulation, protocol development, research ethics, literature review methodology, sampling and subject selection, sample size calculation, measurement and questionnaire design, validity and reliability, and data management. It provides the methodological framework that students apply in their dissertation research.

Advanced Epidemiology (PPH7029F)

Convened by Professor Landon Myer himself, this demanding first-semester course has the most stringent prerequisites: a 65 percent pass in Introduction to Epidemiology, passes in Biostatistics I and II, co-enrollment in Biostatistics III, and completion of at least one elective. It provides deeper understanding of causation, measures of occurrence and association, study design frameworks, variable measurement, bias and misclassification, confounding, intermediate variables, effect modification, matching, and critical appraisal at an advanced level.

Elective Courses and Specialization Options

Students choose two electives from four available options, allowing them to tailor the degree toward their specific research interests and career goals.

Evidence-Based Health Care (PPH7022S)

Convened by Associate Professor Mark Engel (BSc Med Hons, MPH, PhD Cape Town), this course teaches students to formulate answerable clinical and public health questions, conduct systematic literature searches, critically appraise evidence, and apply findings to practice and policy. Students also develop protocols for systematic reviews — a skill increasingly valued in health research and policy-making.

Epidemiology of Infectious Diseases (PPH7063S)

Convened by Professor Mary-Ann Davies (MBChB, PhD Cape Town, FCPHM SA), this course covers the descriptive epidemiology of communicable diseases, outbreak investigation, transmission dynamics, mathematical modeling, surveillance, and vaccination efficacy. Applied topics include HIV/AIDS, tuberculosis, sexually transmitted infections, malaria, hospital-acquired infections, and childhood communicable diseases — all critically relevant in the South African and broader African context.

Epidemiology of Non-Communicable Diseases (PPH7065S)

Convened by Dr. Lara Dugas (BSc, PhD Cape Town, MPH Loyola), this course addresses the growing burden of non-communicable diseases globally, covering cardiovascular disease, diabetes, respiratory disease, cancer, mental health, neurodegenerative diseases, injuries, environmental hazards, and the epidemiologic transition. It examines risk factors including nutrition, obesity, physical activity, alcohol, and tobacco through socio-ecological and life-course frameworks.

Seminars in Epidemiology and Biostatistics (PPH7090F/S)

This advanced course, available with written permission from the convenor, covers cutting-edge topics including causal modeling, marginal structural models, infectious disease modeling, directed acyclic graphs and estimator biases, instrumental variables, propensity scoring, and alternative methods for adjusting for confounding. It is designed for students with strong quantitative backgrounds who want to push beyond the standard curriculum.

The Mini-Dissertation: Research Component

The mini-dissertation is the defining academic challenge of the UCT MSc in Epidemiology and Biostatistics. Carrying 50 percent of the degree weight, it must be passed independently of the coursework and requires a minimum of 900 notional hours of work.

The dissertation must use quantitative methods and demonstrate sophisticated application and interpretation of epidemiological and biostatistical techniques. The program strongly encourages secondary data analysis over primary data collection, reflecting the practical realities of health research where large datasets are often available for analysis.

Dissertation Structure

The dissertation comprises four distinct parts. Part A is a Structured Literature Review of up to 10,000 words that provides comprehensive context for the research. Part B is a Journal Manuscript formatted for a named peer-reviewed journal according to that journal’s instructions for authors — while it does not need to be submitted for publication, the standard aimed for is a manuscript potentially capable of publication. Part C is an Editorial, Opinion Piece, or Policy Brief of up to 3,000 words that translates research findings into actionable insights. Part D contains appendices including acknowledgements with author contributions, the approved protocol with references, ethics approval, and supplementary materials.

Supervision and Examination

Primary supervisors must come from the School of Public Health’s Division of Epidemiology and Biostatistics, though external co-supervisors from any appropriate tertiary or research institution are permitted. In multi-author projects, the candidate is expected to be first author. The dissertation is marked by two examiners, both external to UCT, with at least one based internationally — a quality assurance measure that ensures the work meets global standards. Students and supervisors must complete a Memorandum of Understanding and Progress Report on PeopleSoft annually, and ethics approval from both the Departmental Research Committee and the Faculty’s Human Research Ethics Committee is required.

UCT MSc Epidemiology Admission Requirements

Admission to the program is competitive, with applications typically exceeding available positions. The minimum entry requirements include an appropriate four-year Bachelor’s degree, four-year Honours degree, or any degree recognized by the University Senate as equivalent. Crucially, applicants must demonstrate proficiency in mathematics, statistics, or other quantitative subjects, ideally at the undergraduate level.

The program actively welcomes applicants from diverse academic backgrounds. While health sciences graduates with an interest in epidemiology and biostatistics research form one target group, non-health science graduates from fields such as physical and biological sciences, statistics, social sciences, computer science, commerce, and engineering are strongly encouraged to apply. This interdisciplinary approach enriches classroom discussions and research perspectives.

English Language and Application Requirements

International applicants from non-English speaking countries must meet strict English proficiency standards: a paper-based TOEFL score of at least 570, computer-based TOEFL of 230, internet-based TOEFL of 90, or an IELTS overall band score of 7.0 with no individual element below 6.5. Tests must have been obtained within three to five years before applying.

All applicants must also submit a 500-word typed essay explaining their reasons for pursuing the course and how the program will improve their skills in quantitative health sciences research. Applications are processed through UCT’s central admissions portal, with the final decision on admission resting with the program convenor. Students comparing programs at institutions like the NUS MSc in Sustainable Healthcare will find UCT’s admission standards similarly rigorous.

Assessment, Grading, and Distinction Criteria

Each course is assessed through a combination of take-home assignments, semester projects, and final examinations, with the examination generally carrying 50 percent of the assessment weight. The pass mark is 50 percent overall, with a 45 percent sub-minimum required on both the examination and semester mark separately.

An external examiner is appointed for every course, maintaining quality standards across the program. Importantly, no supplementary examinations are offered for failed courses. Students may repeat a failed course at the course convenor’s discretion, but no course may be taken more than twice. Failing any core course twice or failing any three courses results in a recommendation to refuse further registration — a policy that underscores the program’s commitment to maintaining high academic standards.

Distinctions are awarded to candidates who achieve an average of 75 percent or above across both coursework and dissertation, with a 70 percent sub-minimum on each component. This means achieving at least 70 percent average across all courses and at least 70 percent on the dissertation. The distinction represents exceptional academic performance and is a significant credential for graduates pursuing academic careers or PhD studies.

Fees, Funding, and Financial Assistance

UCT uses a course-based fee structure, meaning students can look up the cost of each individual course code in the University Fee Handbook. All students are billed in South African Rand regardless of country of origin, which can represent significant value for students from countries with stronger currencies.

International students from outside SADC countries pay an additional International Term Fee on top of standard registration and course fees. Both the International Term Fee and course-based fees must be paid prior to registration. The full annual International Term Fee is charged even if registration commences in the second semester. Importantly, the program itself does not provide direct research funding, though candidates may apply through various available channels.

Dissertation Fee Rebates

The dissertation fee must be paid in full at least once. However, UCT offers rebates for students who submit early in subsequent years: a 75 percent rebate for submission before early March, a 50 percent rebate for submission before early August, and a 25 percent rebate for submission before early August in the second semester. These rebates provide a financial incentive for timely completion and should factor into students’ planning.

Financial Assistance

The UCT Postgraduate Centre and Funding Office is the primary resource for funding information. University-administered Masters-level scholarships are available, though deadlines are typically six to twelve months in advance. International students can explore scholarship opportunities through the International Academic Programmes Office (IAPO). Financial assistance is highly competitive, making early application essential.

Career Outcomes and Professional Pathways

Graduates of the UCT MSc in Epidemiology and Biostatistics emerge with a powerful combination of quantitative research skills and public health knowledge. The program develops close understanding of quantitative research methods applied to health sciences, the ability to design and conduct epidemiologic research studies, skills in data analysis from various sources, capacity to critically evaluate evidence related to health and healthcare, and the ability to translate research findings for policy-making.

Career destinations span health services and related organizations in both public and private sectors, academia, research institutions, finance and labor sectors with health functions, community-based groups, non-governmental organizations, and international public health careers. The program is equally well-suited for candidates planning to pursue doctoral studies — indeed, the MSc provides an excellent foundation for PhD research at UCT or internationally.

The skills developed in this program are increasingly relevant beyond traditional health research settings. Data analysis, statistical modeling, research design, and evidence evaluation are valued across industries from pharmaceutical companies to insurance firms, from government health departments to global organizations like the WHO and CDC. Students who also explored programs like the Stanford PhD in Biomedical Data Science will recognize the growing demand for quantitative health professionals worldwide.

Faculty Expertise and Academic Leadership

The strength of any postgraduate program lies in its faculty, and the UCT School of Public Health’s Division of Epidemiology and Biostatistics boasts an impressive team of researchers and educators.

Program Convenor Professor Landon Myer brings a unique combination of perspectives with degrees from Brown University (BA), the University of Cape Town (MA, MBChB), and Columbia University (MPhil, PhD). His leadership sets the intellectual tone for the program. Dr. Alex de Voux, who convenes both Introduction to Epidemiology and Quantitative Research Methods, holds a PhD from Emory University — one of the world’s leading centers for epidemiological research.

Professor Mary-Ann Davies, who convenes the Epidemiology of Infectious Diseases elective, is a Fellow of the College of Public Health Medicine of South Africa, bringing clinical and public health expertise to her teaching. Associate Professor Mark Engel, convener of Evidence-Based Health Care, holds a PhD from UCT and specializes in systematic review methodology. The biostatistics teaching team of Luke Hannan, Elton Mukonda, Frissiano Honwana, and Hayli Geffen combines practical statistical expertise with research credentials from multiple South African and international institutions.

This depth of faculty expertise ensures that students learn not only from textbooks but from active researchers who are contributing to the scientific literature and shaping public health policy in South Africa and internationally. The 60 percent attendance rule — students who miss more than 40 percent of classes are not cleared to write the exam — reflects the program’s emphasis on learning through direct engagement with these expert educators.