Master's Programme in Statistics
The master's program aims to broaden and deepen the knowledge in statistics. After completing the master's program, the student is expected to be able to work independently with qualified statistical analysis in the private or public sector, or go on to postgraduate studies in statistics.
Year 1
Termin 1 (compulsory courses)
Mathematics for Economic and Statistical Analysis, 7,5 hp (period A)
R Programming, 7,5 hp (period B)
Probability Theory, 7,5 hp (period C)
Inference Theory 7,5 hp (period D)
Termin 2 (compulsory courses)
Computational statistics, 7,5 hp (period A)
Multivariate Analysis, 7,5 hp (period B)
Generalized Linear Models: Theory and Application, 7,5 hp (period C)
Theory and Methodology of Statistical Science, 7,5 hp (period D)
Year 2
Termin 3 (optional courses)
Bayesian learning, 7,5 hp (period A-B, part-time)
Machine learning, 7,5 hp (period A-B, part-time)
Experimental Design, 7,5 hp (period C)
Sampling and Estimation, 7,5 hp (period D)
Termin 4 (compulsory course)
Master’s Degree Project in Statistics, 30 hp
If you have questions about studying at the Department of Statistics, please contact our study- and career counselor.
