Introduction to Machine Learning
Course, Bachelor's level, 1DL034
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
- 18 January 2027–21 March 2027
- Language of instruction
- English
- Entry requirements
-
60 credits of which 15 credits in mathematics and 15 credits in computer science. Probability and Statistics or Probability and Statistics DV. Algebra and Geometry or Linear Algebra and Geometry I. Participation in a second course in programming.
- Application deadline
- 15 October 2026
- Application code
- UU-61027
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
- 18 January 2027–21 March 2027
- Language of instruction
- English
- Entry requirements
-
60 credits of which 15 credits in mathematics and 15 credits in computer science. Probability and Statistics or Probability and Statistics DV. Algebra and Geometry or Linear Algebra and Geometry I. Participation in a second course in programming.
Admitted or on the waiting list?
About the course
This is a practical introduction to machine learning: its terminology, an overview of basic supervised and unsupervised methods (for example, regression, classification trees, an introduction to neural networks and deep learning, and clustering), use of established tools for machine learning and practical aspects such as dimensionality reduction and cross-validation.