Master's Programme in Mathematical Statistics and Machine Learning
Entry requirements
Specific entry requirements: In order to be admitted to the program, knowledge equivalent to a Bachelor's degree, with at least 45 credits of Mathematics, 15 credits of Computer Science/Computational Mathematics and 45 credits of Mathematical Statistics, is required.
Months of entry
August, September
Course content
One of the many advantages with a background in mathematical statistics, is that your career options are found in the most unexpected and exciting sectors. This programme is an excellent preparation for PhD studies, but our graduates also work with risk analysis in the insurance and financial sector, statistical analysis in medicinal science, climatology and probability calculations in the telecommunication industry. Many employers nowadays also need people who can use statistical learning to deal with large amounts of data, and data science is a common field for our alumni.
Being a collaborator in the Stockholm Mathematics Centre, our department is part of a developing international core for scientific work in mathematics. At Stockholm University, studies in mathematical statistics covers a full range of topics from probability theory to applied statistics and computing. The programme includes traditional measure-theoretic probability theory to provide a solid mathematical foundation as well as a statistical consultancy. Whether you wish to specialise in a more applied or theoretical direction, you are assured high-quality education with active researchers as teachers.
Qualification, course duration and attendance options
- MSc(Maths)
- full time24 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Department of Mathematics