Statistics - master

Duration: 2 Years

Statistics - master

Duration: 2 Years

Application deadline
Nordic applicants: 15 April/1 November
International applicants: 1 December
How to apply?

Statistics is a tool for analysing data in complex systems.

Questions about the study
Sørbye, Sigrunn Holbek


Georg Elvebakk.jpg
Elvebakk, Georg


Hågensen, Tine Margrete


The Master's degree program comprises a Master's Thesis of 60 ECTS, 20 ECTS mandatory courses in computer-intensive statistics and multivariable statistical analysis, and four courses (40 ECTS) of electives or special curriculum.

Statisticians at the Department of mathematics and statistics are mainly focusing on imaging, climate research, medical statistics, ecology and machine learning. The Master's Thesis, electives and special curriculum make it possible for students to specialize in these different areas

For each programme at the University of Tromsø there are set targets for knowledge, skills and competences that a student should have reached by the end of studies.

On completion of the program, graduates will have the following attributes:


  • have advanced knowledge of statistical concepts, principles and methods
  • have a solid knowledge about fields close to statistics, especially within mathematics
  • have sufficient knowledge of statistics to teach in senior high school
  • have a solid knowledge of a concrete scientific problem issue and the statistical model that describes the problem


  • can enter complicated problem issues, uncover structures and formulate precise problems, find suitable analytical and/or numerical solution methods, and interpret the solutions
  • have good practical skills in at least one commonly used statistical programming tool.
  • can cooperate, if necessary in a interdisciplinary way, with other specialists.
  • can find precise and scientific formulations, in oral and written language, in Norwegian as well as in English
  • can use existing literature in an active way to understand the work of other scientists, and as support to solve own mathematical problems.
  • can use statistical methods in theory and practice, and make an independent judgment of the applicability of a statistical model for a given practical problem

 General Competence

  • have a solid knowledge of a broad variety of methods and techniques for analysis and problem solving within statistics.
  • have acquired good theoretical insight and ability to apply the theory for development of methods and techniques to solve problems.
  • possesses the necessary qualifications for work within industry, technology, science, information technology, and schools.
  • can apply knowledge within mathematics and statistics on problem issues within social and natural sciences.
  • can do independent scientific work and formulate the contents of the work within the framework of the terminology of the field
  • can make knowledge based judgments on general scientific issues and communicate these in public.


Graduates from the Master's of Science in Statistics degree are in demand, and typically work with people from other fields in research institutions, consultant companies, insurance companies, banks, industry, oil companies, education, advanced technology and software development.

Term 10 ects 10 ects 10 ects
First term (autumn)
Elective course
Elective course
Second term (spring)
Elective course
Elective course
Third term (autumn)
(60 ECTS)
Fourth term (spring)

Admission to the programme in Statistics - master, requires a Bachelor's degree (180 ECTS) in Statistics or Mathematics or another degree following a program of study of at least three years, or similar education approved in accordance with the Norwegian Universities Act section 3-4.

In addition, specialization in statistics/mathematics worth the equivalent of not less than 80 ECTS credits is required.

  • Applicants who hold a bachelor's degree or equivalent issued in Europe, Canada, USA, Australia and New Zealand: An average grade C as a minimum requirement,
  • Applicants who hold a bachelor's degree or equivalent issued in countries other than the above mentioned region/countries: An average grade B as a minimum requirement.

More information on formal admission requirements:

Formal admission requirements - Master's level

Applicants from Norway or Nordic countries:

  • The application deadline for Norwegian and other Nordic applicants is April 15th for admission to the autumn semester and November 1st for admission to the spring semester.

Applicants from outside the Nordic countries:

  • The application deadline for self-financing international applicants is December 1st for admission to the autumn semester. 
  • Online application, study code 2036.

Are you an international applicant? Read more here.


The Master's degree in Statistics consists of lectures and coursework. A passing grade on the mandatory homework sets is normally required for permission to take the examination. An oral exam is most common for the Master's degree courses. See the course descriptions for more information. The Master's Thesis is assessed by a committee based on the Thesis itself, an oral presentation of the Thesis and an oral exam.

The language of instruction and all syllabus material is in English. Examination questions will be given in English, but may be answered either in English or a Scandinavian language.

The Master's Thesis may also be written either in English or a Scandinavian language.

On sucessfull completion of the degree program, studentes may be qualified for admission to a PhD-program in Statistics at the University of Tromsø or elsewhere.

After an agreement with the department, a period of study abroad can be arranged in the first or second term of the program.

The Department of mathematics and statistics recommends our exchange agreements with
University of Primorska, Slovenia and
University of Saskatchewan, Canada

There are also possibilities through open Erasmusagreements and other open international exchange programmes at UiT.

For more information about international exchange programmes, see Utveksling for studenter ved NT-fak

Institute Country
Aberystwyth University Storbritannia og Nord-Irland
University of Saskatchewan Canada
University of Barcelona Spania
University of Cologne Tyskland
Technical University of Munich Tyskland