Applied Statistical Methods
Course, Bachelor's level, 2ST094
Expand the information below to show details on how to apply and entry requirements.
Autumn 2026 Autumn 2026, Uppsala, 100%, On-campus, English
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 7 December 2026–17 January 2027
- Language of instruction
- English
- 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 12,375
- Total tuition fee: SEK 12,375
- Application deadline
- 15 April 2026
- Application code
- UU-26628
Admitted or on the waiting list?
- Registration period
- 23 July 2026–23 August 2026
- Information on registration from the department
Expand the information below to show details on how to apply and entry requirements.
Spring 2027 Spring 2027, Uppsala, 100%, On-campus, English
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 3 May 2027–6 June 2027
- Language of instruction
- English
- 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 12,375
- Total tuition fee: SEK 12,375
- Application deadline
- 15 October 2026
- Application code
- UU-76628
Admitted or on the waiting list?
- Registration period
- 19 April 2027–26 April 2027
- 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.