About the subject
Do you want to learn how to make wellinformed decisions, draw conclusions based on incomplete information and discover pattern in big data?
Mathematical statistics is the branch of mathematics that studies tools for describing randomness and uncertainty. It could be finding the genes that affect the risk a particular form of cancer, using historical data to predict climate change or decide how much capital an insurance company must reserve in order to be able to compensate customers in case of forest fires.
The foundation of the subject is the theory of probability, that while its history goes back to the 17th century, has developed in its modern form during the past century.
Probability theory also forms the foundation for theoretical statistics, the science of how to draw conclusions from data in the presence of randomness or uncertainty. Statistical theory is today the main tool for confirming scientific discovery in medicine and the natural sciences.
The development of computational tools has widened the scope of applications, both through techniques for simulating complex phenomena and the feasibility to collect and handle everincreasing amounts of data. Here mathematical statistics play an important role in the development of tools for machine learning and artificial intelligence.
Career opportunities
There is a high demand for mathematical knowledge in society today. If you choose to focus on mathematical statistics and computer science, you will be attractive to most lines of business and research.
Courses and programmes
At Stockholm University, you can study mathematical statistics as individual courses at second cycle or by entering our master’s programme. First circle courses are in general only offered in Swedish.
Bachelor's programme

Bachelor's Programme in Mathematics and Computer Science, 180 credits
Programme, Bachelor's level, On campus, Computer Science, Mathematics, Mathematical Statistics

Bachelor's Programme in Mathematics, 180 credits
Programme, Bachelor's level, On campus, Mathematics, Mathematical Statistics

Bachelor's Programme in Mathematics and Economics, 180 credits
Programme, Bachelor's level, On campus, Mathematics, Mathematical Statistics


Master's programme

Master's Programme in Mathematical Statistics, 120 credits
Programme, Master's level, On campus, Mathematical Statistics

Master's Programme in Actuarial Mathematics, 120 credits
Programme, Master's level, On campus, Mathematical Statistics

Master's Programme in Mathematical Statistics, 120 credits
Programme, Master's level, On campus, Mathematical Statistics


Course at bachelor's level

Probability Theory I, 7.5 credits
Course, Bachelor's level, On campus, Mathematical Statistics

Statistical Analysis, 7.5 credits
Course, Bachelor's level, On campus, Mathematical Statistics

Linear Statistical Models, 7.5 credits
Course, Bachelor's level, On campus, Mathematical Statistics

Theory of Statistical Inference, 7.5 credits
Course, Bachelor's level, On campus, Mathematical Statistics

Statistical Data Processing, 7.5 credits
Course, Bachelor's level, On campus, Mathematical Statistics

Econometric methods, 7.5 credits
Course, Bachelor's level, On campus, Mathematical Statistics

Mathematical Statistics, Degree Project, 15 credits
Course, Bachelor's level, On campus, Mathematical Statistics

Mathematical Statistics, Degree Project, 15 credits
Course, Bachelor's level, On campus, Mathematical Statistics

Categorical Data Analysis, 7.5 credits
Course, Bachelor's level, On campus, Mathematical Statistics

Stochastic Processes and Simulation II, 7.5 credits
Course, Bachelor's level, On campus, Mathematical Statistics

Basic Insurance Mathematics, 7.5 credits
Course, Bachelor's level, On campus, Mathematical Statistics

Probability Theory II, 7.5 credits
Course, Bachelor's level, On campus, Mathematical Statistics

Stochastic Processes and Simulation I, 7.5 credits
Course, Bachelor's level, On campus, Mathematical Statistics

Probability and Statistics for Teachers, 7.5 credits
Course, Bachelor's level, On campus, Mathematical Statistics

Introduction to Finance Mathematics, 7.5 credits
Course, Bachelor's level, On campus, Mathematical Statistics


Course at master's level

Mathematical Methods in Life Assurance I, 7.5 credits
Course, Master's level, On campus, Mathematical Statistics

Mathematical Methods in Life Assurance II, 7.5 credits
Course, Master's level, On campus, Mathematical Statistics

Insurance Mathematics, Degree Project, 30 credits
Course, Master's level, On campus, Mathematical Statistics

Insurance Mathematics, Degree Project, 30 credits
Course, Master's level, On campus, Mathematical Statistics

Mathematical Statistics, Degree Project, 30 credits
Course, Master's level, On campus, Mathematical Statistics

Statistical Learning, 7.5 credits
Course, Master's level, On campus, Mathematical Statistics

Computer Intensive Statistical Methods, 7.5 credits
Course, Master's level, On campus, Mathematical Statistics

Stochastic Processes III, 7.5 credits
Course, Master's level, On campus, Mathematical Statistics

Bayesian Methods, 7.5 credits
Course, Master's level, On campus, Mathematical Statistics

Probability Theory III, 7.5 credits
Course, Master's level, On campus, Mathematical Statistics

Statistical Consulting Methodology, 7.5 credits
Course, Master's level, On campus, Mathematical Statistics

Statistical Models, 7.5 credits
Course, Master's level, On campus, Mathematical Statistics

Statistical Information Theory, 7.5 credits
Course, Master's level, On campus, Mathematical Statistics

Mathematical Statistics, Degree Project, 30 credits
Course, Master's level, On campus, Mathematical Statistics

Insurance Accounting, 7.5 credits
Course, Master's level, On campus, Mathematical Statistics

Risk models and claims reserving in nonlife insurance, 7.5 credits
Course, Master's level, On campus, Mathematical Statistics

Economics for Actuaries, 7.5 credits
Course, Master's level, On campus, Mathematical Statistics

Insurance Law for Actuaries II, 7.5 credits
Course, Master's level, On campus, Mathematical Statistics

Probability Theory III, 7.5 credits
Course, Master's level, On campus, Mathematical Statistics

Degree
Research
Active research areas at Stockholm University include probability and statistical theory with applications in many areas. Areas of particular interes include actuarial mathematics, biostatistics (in particular epidemic modelling and genetics), clmate modelling, econometrics, financial mathematics and stochastic networks.