Master's Programme in Statistics
The Master's Programme deepens and broadens your knowledge in statistics and statistical programming. With a foundation of statistical theory and statistical methods, you will be able to specialize in analyzing problems in some particular area of statistical applications according to your interests.
The aims of the program are to provide both greater breadth and greater depth in the statistical discipline. After completion of the programme you can work with qualified statistical analysis in the private or the public sector or continue with PhD studies in statistics. The program gives a good education for anyone who wants to evolve in their statistics carreer, and includes courses in R-programming and Machine Learning as well as Probability theory, Inference theory, Statistical Computation and Multivariate Analysis. A number of optional courses complete the specialization.
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.
