University of Bergen

What you'll study

The programme provides a broad foundation in pure and applied mathematics. Early years focus on core modules such as calculus, linear algebra, mathematical analysis, and ordinary differential equations. As you progress you encounter subjects including abstract algebra, real analysis, complex analysis, numerical methods, probability theory and mathematical statistics.

Applied and computational topics are integrated throughout the curriculum: courses in numerical analysis, mathematical modelling, scientific computing (using common tools and programming languages), and optimisation give hands‑on experience with real data and simulations. You will also take seminars in current mathematical research and complete a supervised bachelor project or thesis in your final year, allowing you to specialise in an area such as analysis, algebra, probability, computational mathematics or applied modelling.

The programme is typically structured across three academic years aligned with the European Credit Transfer System (ECTS), combining lectures, problem classes, tutorials and project work. Elective options and possible interdisciplinary courses allow you to tailor studies toward statistics, finance, informatics or natural sciences.

Entry requirements

Applicants should have strong upper‑secondary level mathematics. For Norwegian applicants this typically means mathematics at the advanced level required for university admission; international applicants need a recognised secondary school diploma with sufficient mathematics content. Relevant qualifications include A‑level mathematics, the International Baccalaureate with higher level mathematics, or other national equivalents.

For non‑native English speakers, proof of English language proficiency is required in line with the university's general admissions rules. Some applicants may be assessed on specific course prerequisites or grades in mathematics; those without full prerequisites may be advised to take qualifying courses.

Career prospects

Graduates leave with strong analytical, quantitative and problem‑solving skills that are widely sought after by employers. Common career paths include data analyst, statistician, quantitative analyst in finance, software developer, operations researcher, and roles in technology or engineering companies. The degree also provides a direct pathway to advanced study: many students proceed to master's programmes in mathematics, statistics, data science, finance or related research disciplines.

Other opportunities include positions in the public sector (national statistical offices, research institutes), consulting, actuarial work (with additional professional qualifications), and teaching (often combined with teacher education programmes).

Why study at University of Bergen

The University of Bergen has an active mathematics community with research groups covering both pure and applied areas, offering students access to current research and supervision for independent projects. Small‑group teaching in problem classes and opportunities to collaborate with staff on research or applied projects help bridge theory and practice.

Bergen provides a supportive international environment and close links with other faculties (informatics, economics, natural sciences) and research centres, which facilitate interdisciplinary study and internships. The university also offers computing facilities and software resources commonly used in mathematical work, along with student services to support academic development and career planning.