Multivariate Statistical Analysis
Course, Master's level, 2ST125
Expand the information below to show details on how to apply and entry requirements.
Spring 2026 Spring 2026, Uppsala, 50%, On-campus, English
- Location
- Uppsala
- Pace of study
- 50%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 19 January 2026–23 March 2026
- Language of instruction
- English
- Entry requirements
-
120 credits including 90 credits in statistics, or 120 credits including 60 credits in statistics and 30 credits in mathematics and/or computer science. 7.5 credits linear algebra.
- 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.
- First tuition fee instalment: SEK 15,000
- Total tuition fee: SEK 15,000
- Application deadline
- 15 October 2025
- Application code
- UU-76616
Admitted or on the waiting list?
- Registration period
- 18 December 2025–18 January 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, 50%, On-campus, English
- Location
- Uppsala
- Pace of study
- 50%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 18 January 2027–24 March 2027
- Language of instruction
- English
- Entry requirements
-
120 credits including 90 credits in statistics, or 120 credits including 60 credits in statistics and 30 credits in mathematics and/or computer science. 7.5 credits linear algebra.
- 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.
- First tuition fee instalment: SEK 17,250
- Total tuition fee: SEK 17,250
- Application deadline
- 15 October 2026
- Application code
- UU-76616
Admitted or on the waiting list?
- Registration period
- 21 December 2026–11 January 2027
- Information on registration from the department
About the course
This course provides you with the foundations of basic multivariate statistical procedures, particularly focusing on analysis techniques (using R software) to handle real data. It includes the extension of univariate methods to the multivariate level such as multivariate regression and multivariate analysis of variance, as well, as one- and two-sample inference for mean vectors and covariance matrices. It further extends to essentially multivariate techniques such as principal components analysis, canonical correlation analysis, classification analysis etc.
After taking this course, you are expected to be able to handle, analyse and interpret multivariate data of small to moderate dimensions in real-life problems.