Forecasting Methods and Causal Inference for the Social Sciences

Education facts

Code: 2FK065

The course deepens the knowledge of quantitative social science methodology that students have acquired during undergraduate studies. The aim is to develop your ability to use forecasting and causal inference methods to answer a research question and test theoretical arguments. The course offers training in how to design, estimate, and interpret common methods within forecasting and causal inference. Key techniques covered include Monte Carlo simulation, randomisation inference and prediction. There will be a focus on understanding the assumptions and goals of different methods and evaluating their strengths and weaknesses. To support your practical application, the course includes the use of statistical software.

Entry requirements

Fulfilment of the requirements for a Bachelor's degree, from an internationally recognised university. A quantitative research methods course at Master's level of at least 7.5 credits, or 60 credits of statistics at the undergraduate level, or equivalent. Proficiency in English equivalent to the Swedish upper secondary course English 6.

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.

• Forecasting Methods and Causal Inference for the Social Sciences

  Uppsala University

  Uppsala

  Start date: 25 March 2027

  End date: 2 May 2027

  Pace of study: 100 %