Forecasting Methods and Causal Inference for the Social Sciences
Course, Master's level, 2FK065
Spring 2024 Spring 2024, Uppsala, 100%, On-campus, English
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 21 March 2024–25 April 2024
- Language of instruction
- English
- 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.
- Selection
-
Higher education credits (maximum 285 credits)
- Fees
-
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 and tuition fees.
- Application fee: SEK 900
- First tuition fee instalment: SEK 12,500
- Total tuition fee: SEK 12,500
- Application deadline
- 16 October 2023
- Application code
- UU-70519
Admitted or on the waiting list?
- Registration period
- 21 December 2023–31 January 2024
- Information on registration.
Spring 2024 Spring 2024, Uppsala, 100%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 21 March 2024–25 April 2024
- Language of instruction
- English
- 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.
Admitted or on the waiting list?
- Registration period
- 21 December 2023–31 January 2024
- Information on registration.
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.
Reading list
No reading list found.
Contact
- Ingalill Blad Ögren
- ingalill.blad-ogren@pcr.uu.se
- +46 18 471 23 49