Statistical Risk Analysis

5 credits

Course, Master's level, 1MS044

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
23 March 2026–7 June 2026
Language of instruction
English
Entry requirements

120 credits. Participation in Applied Statistics or Inference Theory I. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Application deadline
15 October 2025
Application code
UU-60510

Admitted or on the waiting list?

Registration period
9 March 2026–5 April 2026
Information on registration from the department

Location
Uppsala
Pace of study
33%
Teaching form
On-campus
Instructional time
Daytime
Study period
23 March 2026–7 June 2026
Language of instruction
English
Entry requirements

120 credits. Participation in Applied Statistics or Inference Theory I. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Admitted or on the waiting list?

Registration period
9 March 2026–5 April 2026
Information on registration from the department

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
22 March 2027–6 June 2027
Language of instruction
English
Entry requirements

120 credits. Participation in Applied Statistics or Inference Theory I. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Application deadline
15 October 2026
Application code
UU-60510

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
22 March 2027–6 June 2027
Language of instruction
English
Entry requirements

120 credits. Participation in Applied Statistics or Inference Theory I. 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 explores the following topics: Conditional distributions, Bayesian methods for estimation of failure intensities and risks, the Poisson process and Poisson regression and Extreme-value analysis.

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