Molecular epidemiology

Education facts

Code: STA520

The course provides an introduction to key concepts, methods, and applications within molecular epidemiology. Modern medical research often relies on analyses of large‑scale molecular data, an area that requires specialized statistical approaches. The course gives an overview of the fundamentals of cell biology with a focus on DNA, RNA, and protein expression, which are necessary for analyzing and interpreting results. The course presents examples of the connections between genotype, protein, and phenotype, as well as the various roles of proteins in cellular functions. It focuses on how genetic analyses such as genome‑wide association studies (GWAS) and Mendelian randomization (MR) can be used as tools for epidemiological research and causal inference. Furthermore, the course covers biomarkers and large‑scale analyses of molecular data (omics).

Entry requirements

The entry requirements of the course include a professional degree/Bachelor's degree of at least 180 credits in health sciences, natural sciences, economics, or engineering, and a course in statistics or quantitative methods of at least 7,5 credits. Further, R-programming of at least 2 credits or equivalent, a course in regression analysis of at least 2 credits or equivalent, English B/English 6 or equivalent, and Matematik 3b/3c or equivalent are required.

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Molecular epidemiology

  University of Gothenburg

  GÖTEBORG

  Start date: 31 August 2026

  End date: 2 October 2026

  Pace of study: 50 %