Generalised Linear Models
Course, Master's level, 1MS369
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 2026–1 November 2026
- Language of instruction
- English
- Entry requirements
-
120 credits including 90 credits in mathematics. Participation in Regression Analysis. Proficiency in English equivalent to the Swedish upper secondary course English 6.
- Application deadline
- 15 April 2026
- Application code
- UU-10508
Admitted or on the waiting list?
- Registration period
- 17 August 2026–13 September 2026
- Information on registration from the department
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 2026–1 November 2026
- Language of instruction
- English
- Entry requirements
-
120 credits including 90 credits in mathematics. Participation in Regression Analysis. Proficiency in English equivalent to the Swedish upper secondary course English 6.
Admitted or on the waiting list?
- Registration period
- 17 August 2026–13 September 2026
- Information on registration from the department
About the course
This course can be seen as a continuation of the course in regression analysis, but with more general models. In regression analysis, the dependent variable is assumed to be normally distributed, but here the dependent variable is usually discrete, e.g. Poisson distributed or Bernoulli distributed. Typically, it is then a transformation of the expected value of this distribution that is described by a linear function of the explanatory variables.