Stochastic Data Processing and Simulation

Education facts

Code: MSG400

The aim of the course is to provide students with the ability to analyse and simulate stochastic and statistical models using computational methods. The course integrates concepts from probability and mathematical statistics with numerical implementation, analysis, and interpretation of results. The course also aims to develop the student’s ability to communicate mathematical and statistical reasoning clearly in written form.

Entry requirements

Knowledge equivalent to an introductory course in probability theory and basic mathematical statistics is required. Prior experience of using a high-level programming language for technical or scientific computation is also 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.

• Stochastic Data Processing and Simulation

  University of Gothenburg

  GÖTEBORG

  Start date: 31 August 2026

  End date: 3 November 2026

  Pace of study: 50 %