Multivariate Methods
10 credits
Course, Bachelor's level, 1MS003
Expand the information below to show details on how to apply and entry requirements.
Autumn 2026 Autumn 2026, Uppsala, 33%, On-campus, English Only available as part of a programme
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 31 August 2026–17 January 2027
- Language of instruction
- English
- Entry requirements
-
60 credits in mathematics. Participation in Probability Theory I and Inference Theory I.
- Application deadline
- 15 April 2026
- Application code
- UU-10500
Admitted or on the waiting list?
Autumn 2026 Autumn 2026, Uppsala, 33%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 31 August 2026–17 January 2027
- Language of instruction
- English
- Entry requirements
-
60 credits in mathematics. Participation in Probability Theory I and Inference Theory I.
Admitted or on the waiting list?
About the course
This course deals with techniques for the visualisation of multivariate data materials. You learn to use multivariate normal distribution and carry out statistical tests around the mean vector of a multivariate normal distribution. Furthermore, classification methods that have a variety of applications are studied.
Syllabus
- Syllabus valid from Autumn 2022
- Syllabus valid from Autumn 2019
- Syllabus valid from Autumn 2016
- Syllabus valid from Autumn 2010, version 3
- Syllabus valid from Autumn 2010, version 2
- Syllabus valid from Autumn 2010, version 1
- Syllabus valid from Autumn 2007, version 2
- Syllabus valid from Autumn 2007, version 1
Reading list
- Reading list valid from Autumn 2022
- Reading list valid from Spring 2021
- Reading list valid from Autumn 2019
- Reading list valid from Autumn 2015
- Reading list valid from Autumn 2010, version 2
- Reading list valid from Autumn 2010, version 1
- Reading list valid from Spring 2010
- Reading list valid from Autumn 2007, version 2
- Reading list valid from Autumn 2007, version 1