Computer-Intensive Statistics and Applications

10 credits

Course, Master's level, 1MS049

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

Location
Uppsala
Pace of study
67%
Teaching form
On-campus
Instructional time
Daytime
Study period
2 November 2026–17 January 2027
Language of instruction
English
Entry requirements

120 credits including 60 credits mathematics and/or data science with at least 45 credits mathematics. Participation in one of the courses Regression analysis, Introduction to data science or Financial Derivatives. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Application deadline
15 April 2026
Application code
UU-10502

Admitted or on the waiting list?

Registration period
19 October 2026–15 November 2026
Information on registration from the department

Location
Uppsala
Pace of study
67%
Teaching form
On-campus
Instructional time
Daytime
Study period
2 November 2026–17 January 2027
Language of instruction
English
Entry requirements

120 credits including 60 credits mathematics and/or data science with at least 45 credits mathematics. Participation in one of the courses Regression analysis, Introduction to data science or Financial Derivatives. Proficiency in English equivalent to the Swedish upper secondary course English 6.

Admitted or on the waiting list?

Registration period
19 October 2026–15 November 2026
Information on registration from the department

About the course

Random number generators and simulation of random objects, Monte Carlo. Estimation techniques like Kernel estimation. EM algorithms. Applications within data science/finance/statistics. The course contains an applied project with a specialization within one of the following areas: Financial mathematics, data science or statistics.

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