Generalised Linear Models

5 credits

Course, Master's level, 1MS369

Expand the information below to show details on how to apply and entry requirements.

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?

Information on registration from the department

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?

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.

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