Applied Statistical Methods
Course, Bachelor's level, 2ST094
Expand the information below to show details on how to apply and entry requirements.
Autumn 2025 Autumn 2025, Uppsala, 100%, On-campus, The course will be taught in English, if needed
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 5 December 2025–18 January 2026
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
At least 15 credits from Statistics A, 30 credits
- Selection
-
Final school grades (60%) - Swedish Scholastic Aptitude Test (40%)
- 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.
- First tuition fee instalment: SEK 11,250
- Total tuition fee: SEK 11,250
- Application deadline
- 15 April 2025
- Application code
- UU-26628
Admitted or on the waiting list?
- Registration period
- 24 July 2025–31 August 2025
- Information on registration from the department
Expand the information below to show details on how to apply and entry requirements.
Spring 2026 Spring 2026, Uppsala, 100%, On-campus, The course will be taught in English, if needed
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 1 May 2026–7 June 2026
- Language of instruction
- The course will be taught in English, if needed
- Entry requirements
-
At least 15 credits from Statistics A, 30 credits
- Selection
-
Final school grades (60%) - Swedish Scholastic Aptitude Test (40%)
- 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.
- First tuition fee instalment: SEK 11,250
- Total tuition fee: SEK 11,250
- Application deadline
- 15 October 2025
- Application code
- UU-76628
Admitted or on the waiting list?
- Registration period
- 18 December 2025–18 January 2026
- Information on registration from the department
About the course
This course in applied statistics focuses on data analysis using statistical methods. The course consists of a number of cases (homework assignments) and for each of these, you hand in a written report and do an oral presentation of the report. Examination of the course is based on the homework assignments; no traditional exam is given.
You will learn to apply appropriate statistical tools to various data sets and research questions. The course requires a solid understanding of basic probability theory and statistical inference, basic econometrics and time series analysis. Examples of methods used are multiple regression, logistic regression and ARIMA models.