Forecasting Methods and Causal Inference for the Social Sciences, 7.5 credits

Academic year 2023/2024

  • Spring 2024, 100%, Campus

    Start date: 21 March 2024

    End date: 25 April 2024

    Application deadline: 16 October 2023

    Application code: UU-70519 Application

    Language of instruction: English

    Location: Uppsala

    Selection: Higher education credits (maximum 285 credits)

    Registration: Please contact the department.

Entry requirements: Fulfilment of the requirements for a Bachelor's degree, from an internationally recognised university. A quantitative research methods course at the advanced 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.


If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application or tuition fees. Formal exchange students will be exempted from tuition fees, as well as the application fee. Read more about fees.

Application fee: SEK 900

Tuition fee, first semester: SEK 12,500

Tuition fee, total: SEK 12,500

About the course

This course provides you with in-depth knowledge of quantitative methods as used in social science. More specifically, it focuses on common methods related to (a) forecasting and (b) causal inference. This includes training the your ability to specify, estimate, and interpret such models. In addition, there will be a focus on evaluating different methods and highlighting their strengths and weaknesses. During the course, you will work with a variety of practical applications. As the teaching will primarily rely on the R programming language, basic proficiency in R is presumed.   

More information


Department of Peace and Conflict Research

Gamla Torget 3, 1tr 753 20 Uppsala

Box 514, 751 20 UPPSALA


Chris Chau (Bachelor's level)


Telephone: +46 18 471 23 79

Ingalill Blad Ögren (Master's level)


Telephone: +46 18 471 23 49