Machine Learning Theory
Course, Master's level, 1TD179
Expand the information below to show details on how to apply and entry requirements.
Spring 2027 Spring 2027, 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
- 22 March 2027–6 June 2027
- Language of instruction
- English
- Entry requirements
-
120 credits in engineering/science including Computer Programming I, Probability and Statistics, Linear Algebra II, Several Variable Calculus/Analysis in Several Variables. Participation in Statistical Machine Learning. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Application deadline
- 15 October 2026
- Application code
- UU-62000
Admitted or on the waiting list?
Spring 2027 Spring 2027, Uppsala, 33%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 33%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 22 March 2027–6 June 2027
- Language of instruction
- English
- Entry requirements
-
120 credits in engineering/science including Computer Programming I, Probability and Statistics, Linear Algebra II, Several Variable Calculus/Analysis in Several Variables. Participation in Statistical Machine Learning. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
About the course
The course teaches a rigorous, concept-driven treatment of modern statistical learning theory. The course covers algorithmic stability, overparameterisation phenomena, and information theory/compression perspectives that connect the frameworks. The course works with open problems that integrate theory and reproducible experiments.
Reading list
No reading list found.