M.Sc. On Campus


University of Bergen

24 months
Tuition fee
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University of Bergen's Statistics program is aimed at students with an interest in mathematics and statistics, and who will qualify for research and development in statistics or in a field where statistics are central.


Key facts

At University of Bergen's Statistics master's program in statistics, you can choose between the following specializations:

  • Data analysis : A master's thesis in data analysis can mean that one analyzes a specific data set. Typically, one uses numerical techniques to evaluate the methods involved in interpreting data. There is often talk of simulation carried out by own programs. In addition, the analysis method itself is often based on time-consuming numerical routines in addition to mathematical formulations. The field of study provides a good background for later work with analysis of complicated data sets within various practical disciplines. Compulsory course: STAT201 Generalized linear models, STAT210 Statistical inference theory and STAT220 Stochastic processes.
  • Financial theory and actuarial mathematics : The study is adapted to the methods needed for practical work in insurance and finance. It contains both modeling that is based directly on probability and methods for analysis of relevant data sets. The master's degree in statistics with this field of study provides actuarial competence. Compulsory courses: STAT201 Generalized linear models, STAT210 Statistical inference theory , STAT220 Stochastic processes, STAT230 Life insurance mathematics , STAT231 Non-life insurance mathematics and risk theory and STAT240 Financial theory.
  • Mathematical statistics : In mathematical statistics, one looks at the properties of the methods that are used to analyze observation material. One uses mathematical techniques to investigate which methods are the best to take into account the information contained in the observations. The techniques are largely based on probability. New methods are also formulated using mathematical aids. Compulsory course: STAT201 Generalized linear models, STAT210 Statistical inference theory , STAT220 Stochastic processes, STAT221 Limit theorems in the calculus of truth and MAT211 Real analysis.

Programme Structure

  • For more information please visit the official website

Key information


  • Full-time
    • 24 months

Start dates & application deadlines


120 ECTS


On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

Other requirements

General requirements

  • You must have completed and passed a bachelor's degree or equivalent education from a university or college.
  • You must have an academic specialization of at least 80 credits relevant to the study you are applying for admission to.
  • If you have a bachelor's degree without a defined professional specialization (eg professional education), there is a requirement for a minimum average grade of C (3.00) for the entire degree. 
  • English language master's programs:  With general study competence  and grade 4 in English, either on the basis of Norwegian upper secondary school or in another way, you cover the language requirements in English for the English language programs. No need to document Norwegian skills. From 2020: level B2 ( CEFR ) requirements for all applicants.

Tuition Fee

To alway see correct tuition fees
  • International

    Tuition Fee
    Based on the tuition of 0 EUR per year during 24 months.
  • EU/EEA

    Tuition Fee
    Based on the tuition of 0 EUR per year during 24 months.

The semester fee is NOK 590

Living costs for Bergen

10362 - 16828 NOK /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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