Master in Mathematical Statistics
Umeå University - Faculty of Science and Technology
Key Information
Campus location
Umeå, Sweden
Languages
English
Study format
On-Campus
Duration
2 years
Pace
Full time
Tuition fees
SEK 142,800 / per year *
Application deadline
Request info
Earliest start date
02 Sep 2024
* 285,600SEK
Introduction
Master's Programme in Mathematical Statistics
Hone your analytical powers and deepen your knowledge of mathematics! Umeå University offers a two-year Master's programme in Mathematics with a close connection to the mathematical research groups at the university. The programme will equip you with a solid theoretical foundation for pursuing careers in research and development, be it in government, finance, the tech industry or academia.
While studying
You will be part of a small, human-sized Master's programme and Mathematics department, giving the possibility for richer and more personal interactions between students and teachers. During their first course on the programme, incoming students choose a mentor from one of our research groups – Discrete Mathematics, Analysis and Modelling, Computational Mathematics and Mathematical Statistics. The mentor follows the student through the programme, giving advice on the choice of courses and thesis topics, as well as on applications to PhD programmes.
A flexible programme
As a student on the programme, you have great freedom to pick and choose courses in mathematics and from related fields such as computer science, physics and statistics from a large list of electives in order to tailor your degree to you interests and future plans.
Teaching on the programme consists of a mixture of lectures, seminars and individual supervision. All teaching on the programme is done in English and by active researchers. Students on the programme also have the opportunity of taking part in a semester-long exchange abroad at partner mathematics departments in Germany, Italy, France, Spain, England, the Czech Republic, China, South Korea, Turkey and Kazakhstan as part of their studies.
After a semester of common courses and two semesters of electives, students spend their final semester working on a Master’s Thesis in one of our areas of research expertise: Discrete Mathematics, Analysis and PDE theory, Financial Mathematical, Numerical Analysis and Computational Mathematics, Mathematical Modelling of Evolution and Biological Phenomena, Machine Learning, Optimisation and Mathematical Programming, Data Science and Mathematical Statistics.
Why Umeå?
The programme's greatest draw is its close connection to the life of the research groups in the department, which we hope you will take full advantage of. As a student on the programme, you will be able to work on research and thesis projects with some of our young and highly successful researchers, and to use the mentoring system as a gateway into the world of research.
In this digital age, mathematical skills are in high demand across the economy. In addition some of our core, profile and elective courses, and much of our research, lie in exciting "hot topic" areas such as network science, modelling, financial mathematics, numerical analysis, artificial intelligence and big data. The employment prospects of our graduates are thus excellent.
A young city with rich cultural life
Finally, Umeå provides a highly attractive environment for studying. It is a young and fast growing city of around 120 000 inhabitants, of whom over 35 000 are students. This makes for a rich cultural life, with many pubs, cafés, restaurants, concerts and festivals. The city is home to Norrlands Opera and to Bildmuseet, a museum of contemporary art and visual culture. In 2014, Umeå shared with Riga the distinction of being the European capital of culture.
The city is small, extremely safe and well-run, with an extensive network of bicycle paths allowing its denizens to cycle all year round. It is surrounded by beautiful nature – from the Umeå river, which freezes over in winter and becomes criss-crossed with cross-country skiing tracks, to Nydala lake and the Gammlia forest within the city limits, and to the vast and largely unspoiled countryside of forests, lakes and seashore just outside it. And of course studying in Umeå allows you to experience the Swedish way of life, with its well-delineated seasons and traditions, from Sankta Lucia in the dark of December to Midsommar in the overflowing light of June, with coffee and cinnamon buns throughout.
Curriculum
Programme overview
Courses in Mathematical Statistics:
Statistical learning with high dimensional data analysis, 7.5 credits
Design of Experiments and Advanced Statistical Modelling, 15 credits
Inference Theory, 7.5 credits
Multivariate Data Analysis, 7.5 credits
Probability Theory, 7.5 credits
Research in the Mathematical Sciences, 7.5 credits
Current Research in Statistics, 7.5 credits
Stationary stochastic processes,7.5 credits
Time Series Analysis and Spatial Statistics, 7.5 credits
Courses in Statistics:
Programming in Statistics, 7.5 credits
Causal Inference, 7,5 credits
Elective courses:
There is a lot of freedom to mix and match both statistical courses from the programme and relevant courses from mathematics, statistics and computer science: if there is an exciting course that you want to sub in for one of the programme courses listed above, there is considerable latitude to do so.
The elective courses listed below, most of which are from our sister programme in Mathematics, are alternatives you may want to consider. Your mentor will help and advise you on choosing a tailor-made set of courses from the available options.
Elective courses in Mathematics:
Enterprise Risk Management, 15 credits
Financial Mathematics, 7 credits
Monte Carlo Methods for Financial Applications, 7.5 credits
Stochastic Differential equations. 7.5 credits
A Mathematical Introduction to Machine Learning, 7.5 credits
Elective courses in Mathematical Statistics:
Statistics in Genetics, 7.5 credits
Computer Intensive Methods in Statistics
Degree projects:
Thesis Project for the Degree of Master of Science in Mathematical Statistics, 15 credits
Thesis Project for the Degree of Master of Science in Mathematical Statistics, 30 credits
Elective courses:
There is a lot of flexibility to mix and match both statistical courses from the programme and relevant courses from mathematics and computer science. Your mentor will help and advise you on choosing a tailor-made set of courses from the available options.
Students on the programme may also replace suggested courses with courses from the sister programme in Mathematics.
Gallery
Career Opportunities
Career opportunities
Graduates of a master's programme in statistics have a wide range of opportunities available to them. Statistical skills are highly sought-after, for example, in IT, in the insurance sector, in the pharmaceutical industry and medical research more generally, in many government agencies, and in any context where large reams of data are to be analysed. And of course, a master's degree is a natural and necessary preparation for entering a Ph.D. programme and pursuing a career in statistical research within academia.