Umeå University

Overview

The Master’s program in Mathematical Statistics at Umeå University is designed to cultivate advanced skills in statistical theory, inference, and contemporary data analysis. Students will receive personalized mentoring from faculty members, which lays a solid foundation for careers in data-driven fields and paves the way for potential doctoral studies.

What you'll study

This program comprises advanced courses focusing on probability and statistical theory, alongside modules dedicated to complex and high-dimensional data analysis. A significant component includes a research project culminating in a thesis that aligns with individual interests and the research focus of a relevant group.

Core and elective course themes

• Big Data and High-Dimensional Data Analysis
• Design of Experiments and Advanced Statistical Modelling
• Inference Theory
• Multivariate Data Analysis
• Probability Theory
• Stochastic Processes
• Time Series Analysis and Spatial Statistics
• Statistics in Genetics
• Research in the Mathematical Sciences

Thesis / Research Component

Students are required to complete a thesis project that applies advanced statistical methods to a topic agreed upon with their supervisor. This topic is often linked to the program’s research areas and may involve theoretical, methodological, or applied statistical work.

Entry requirements

Applicants typically need a first-cycle degree in a relevant field encompassing mathematics, mathematical statistics, and programming methodology. There are no specific GRE or GMAT requirements for this program, nor is there a defined GPA cut-off.

Career prospects

Graduates of the Master’s program in Mathematical Statistics are well-equipped for various roles in data analysis, research, and academia. The advanced skills acquired during the course prepare them for opportunities in industries such as finance, healthcare, technology, and government, where data-driven decision-making is essential.