The aims of the program are to provide both greater breadth and greater depth in the statistical discipline. After completion of the programme the student is expected either to work with qualified statistical analysis in the private or the public sector or to continue with graduate studies in statistics. The program gives a good education for anyone who want 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. Examples of optional courses include courses in experimental design, survey sampling, generalized linear models and bayesian statistics.

During this webinar, we will present the Master's program and answer your questions about studying at the Department of Statistics.

13:00 A presentation from the Director of Studies Jessica Franzén and the study- and career counselor Jenny Rosen.

13:10 A presentation on the course R Programming, by senior lecturer Ellinor Fackle Fornius.

13:20 Video presentations on the courses Bayesian Statistics and Machine Learning, by professor Mattias Villani.

13:35 A presentation on the course Experimental Design, by professor Frank Miller.

13:45 A presentation on the Master's thesis course, by senior lecturer Andriy Andreev.

13:50 What is it like to study statistics? Presentation by our Master's student Emma.

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Find out more about the Master's program in Statistics