Data science for biomedicine

Education facts

Code: MSA680

The aim of the course is to convey basic knowledge of models and methods with practical applications mainly in Data Science for biomedicine. After completing the course you will be able to: perform data analysis for controlled randomized experiments such as hypothesis testing and survival analysis as well as calculation of sample size for hypothesis testing within randomized experiments; understand the framework for linear mixed models, perform statistical analysis of longitudinal data with SAS, identify hierarchical data structures and perform statistical analysis with R.

Entry requirements

Knowledge corresponding to at least one of the courses DIT862 Statistical Methods for Data Science or MSG110 Probability Theory.

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.

• Data science for biomedicine

  University of Gothenburg

  GÖTEBORG

  Start date: 18 January 2027

  End date: 29 March 2027

  Pace of study: 50 %