University of Tromsø

What you'll study

This two-year master’s programme normally comprises advanced courses and an independent research thesis. Core topics include real and complex analysis, algebra and topology, probability theory and statistics, numerical analysis, partial differential equations and optimisation. Students can choose specialist modules in areas such as computational mathematics, mathematical modelling of physical and environmental systems, inverse problems, scientific computing, stochastic processes and data analysis.

The programme emphasises both theoretical rigour and practical computation: taught courses cover proof techniques, asymptotic analysis and stability, while programming and high-performance computing are integrated into modelling, numerical methods and simulation projects. The degree culminates in an extended master’s dissertation carried out under supervision, often linked to an active research group or an external partner.

Entry requirements

Applicants are expected to hold a relevant bachelor’s degree in mathematics, applied mathematics, statistics, or a closely related quantitative discipline. Typical preparation includes undergraduate courses in calculus and analysis, linear algebra, probability and statistics, and basic programming or numerical methods.

Admission usually requires an academic transcript, a statement of purpose outlining research interests, and letters of recommendation. Applicants whose prior education was not in English will be asked to demonstrate English proficiency through recognised tests or other accepted evidence. Specific course prerequisites or minimum grade requirements are set by the faculty and should be checked with the university’s admissions information.

Career prospects

Graduates from the Master’s in Mathematical Sciences pursue diverse careers in academia, public research institutes and private industry. Common pathways include doctoral study and academic research, positions in data science and analytics, risk and quantitative analysis in finance and insurance, software development for scientific computing, and roles in engineering consultancy.

The programme’s strong computational and modelling components are particularly relevant to employers in climate and environmental modelling, geosciences, oceanography and resource management—sectors that are important in the Arctic region. Other opportunities exist in government agencies, technology companies and research laboratories where advanced quantitative skills are in demand.

Why study at University of Tromsø

UiT – The Arctic University of Norway offers a distinctive research environment at high northern latitudes with strong interdisciplinary links to earth and environmental sciences, polar research and industry partners. Students benefit from active research groups in applied and computational mathematics, access to modern computing facilities, and opportunities to participate in projects that address Arctic challenges.

The department provides close supervision and a collaborative atmosphere, with options to engage in international research networks and collaborations with national research institutes. The programme’s combination of theoretical depth and applied training prepares graduates for both advanced research and practical problem-solving careers in regions where quantitative modelling plays a central role.