Program Overview

Master's Programme in Mathematical Statistics

The Master's Programme in Mathematical Statistics at Umeå University is designed to equip students with the skills to analyze complex data, a highly sought-after skill in today's data-driven world. The programme is a two-year, full-time course of study that takes place on campus in Umeå, Sweden.

About the Programme

The programme focuses on the analysis of complex data, with an emphasis on mathematical and computational skills. Students will learn how to process and draw relevant conclusions from large amounts of data, a skill that is in high demand in the labor market. The programme starts with a course that focuses on achieving goals through advanced studies and research in Mathematical Statistics, and students are assigned an active researcher as a personal mentor.

While Studying

During the programme, students will have the opportunity to work on cutting-edge topics under the supervision of young and highly successful researchers. The programme also offers a wide range of courses in mathematical statistics, as well as the option to combine courses with other areas of interest, such as mathematics, computer science, or the natural or social sciences.

Areas and Topics for the Master's Thesis

Students can choose from a variety of areas and topics for their master's thesis, including:

• Spatial-temporal data
  • Change-point detection for point processes
  • Edge correction for Voronoi-based intensity estimators
  • Movement analysis with a focus on traffic data
• Biostatistics and life science
  • Analysis of large and complex data with applications in health and life sciences
• Functional data analysis
  • Functional clustering methods for climate reconstruction
• Statistical learning
  • Shape constrained generalized additive models for complex datasets
  • Advancing cosmic ray analysis: an open-source android neutron detector module
• Mathematical Foundations of AI
  • Total variation regularized optimization problems on measure spaces
• Geometric deep learning
  • Equivariance and augmentation

Courses within the Programme

The programme includes a range of courses in mathematical statistics, such as:

• Statistical learning with high dimensional data analysis, 7.5 credits
• Design of Experiments and Advanced Statistical Modelling, 15 credits
• Statistical Inference, 7.5 credits
• Multivariate Data Analysis, 7.5 credits
• Probability Theory, 7.5 credits
• Research in the Mathematical Sciences, 7.5 credits
• Current Research Topics in Mathematical Statistics, 7.5 credits
• Stationary stochastic processes, 7.5 credits
• Time Series Analysis, 7.5 credits
• Reliability Theory, 7.5 credits
• Advanced Probability Theory, 7.5 credits
• Statistics in Genetics, 7.5 credits

Choose Programme Specialisation

The programme offers a specialisation in Financial Engineering.

Future and Career Opportunities

Graduates of the programme are in high demand in a wide range of sectors, including the tech industry, finance, and medical research. The programme also provides a perfect preparation for a research career, with a PhD being the next step.

Eligibility

To be eligible for the programme, students must have a Bachelor's degree or equivalent first-cycle qualification comprising of at least 180 ECTS or a corresponding qualification from an internationally recognised university. Specific entry requirements include at least 30 ECTS in Mathematics, at least 15 ECTS in Mathematical Statistics or Statistics, and at least 7.5 ECTS in Programming Methodology, or equivalent. Proficiency in English is also required.

Selection

Selection is based on academic credits completed by the last application date.

Degree

After completing the programme, students can be awarded a Degree of Master of Science (60 credits) or a Degree of Master of Science (120 credits) in Mathematical Statistics. The Master's degree may be awarded with a specialisation in Financial Engineering if the student has completed the mandatory courses for the specialisation.

Application and Tuition Fees

As a citizen of a country outside the European Union (EU), the European Economic Area (EEA) or Switzerland, students are required to pay application and tuition fees for studies at Umeå University. The application fee is SEK 900, and the tuition fee for the first instalment is SEK 76,150. The total fee is SEK 304,600.