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Master Thesis in Statistics

  • Number of credits 30 Credits
  • Level Master’s level
  • Starting Spring Term 2020

About the course


During the course the student will individually perform a statistical work presented in a scientific paper. The work may consist of statistical data analysis, evaluation of statistical methods or review and summary of literature on some statistical area. The subject dealt with may be linked to ongoing research at the university, be a deepening of the work of a consulting nature or treat one's own area of interest. The thesis can be an extension of the thesis, written in the C-level or be totally independent. The thesis is presented and defended orally at an open seminar. The course also includes examination, evaluation and discussion of other students' theses.

The course consists of tutorials, lectures and seminars, where some of the seminars are mandatory.

Application and eligibility

Master Thesis in Statistics, 30 hp

Visa tillfällen för föregående termin Spring Term 2020 Det finns inga senare terminer för kursen

Starts

20 January 2020

Ends

7 June 2020

Study location

Umeå

Language

English

Type of studies

Daytime, 100%

Required Knowledge

Univ: 30 ECTS advanced level in statistics and/or in mathematical statistics or equivalent.
Proficiency in English equivalent to Swedish upper secondary course English B

Selection

Academic credits

Application code

UMU-27910

Application

The online application opens 16 September 2019 at 13:00 CET. Application deadline is 15 October 2019.

Application and Tuition fees

As a citizen of a country outside the European Union (EU), the European Economic Area (EEA) or Switzerland, you are required to pay application and tuition fees for studies at Umeå University.

Application fee

SEK900

Tuition fee, first instalment

SEK54,800

Total fee

SEK54,800

Contact us

Please be aware that the University is a public authority and that what you write here can be included in an official document. Therefore, be careful if you are writing about sensitive or personal matters in this contact form. If you have such an enquiry, please call us instead. All data will be treated in accordance with the General Data Protection Regulation.

Contact persons for the course are:
Maria Karlsson, study advisor