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Statistics in Genetics

  • Number of credits 7.5 credits
  • Level Master’s level
  • Starting Spring Term 2023

About the course

The course covers techniques for analysis of genomic data.
The first part focus on properties of genomic sequences. Methods for determining GC-content, gene finding and sequence alignment are discussed. In this context Hidden Markov methods play a vital role.
The second part covers various aspects of genetic variation; genetic variation within and between species. Evolution and reconstruction of evolutionary mechanisms are studied. Jukes-Cantor and Kimura 2-parameter models, Ka/Ks ratio and phylogenetic trees are some tools that are discussed.
In the final part analysis of microarray data, both cDNA and short-oligos arrays, are studied.
The course uses real biological examples to illustrate the discussed techniques. Data are analyzed using different software (e.g. BLAST and bioconductor). After the course the students should be familiar with the software. 

In a degree, this course may not be included together with another course with a similar content. If unsure, students should ask the Director of Studies in Mathematics and Mathematical Statistics. The course can also be included in the subject area of computational science and engineering. 

Application and eligibility

Statistics in Genetics, 7.5 credits

Visa tillfällen för föregående termin Spring Term 2023 Det finns inga senare terminer för kursen


16 January 2023


21 March 2023

Study location




Type of studies

Daytime, 50%

Required Knowledge

The Course requires 90 ECTS including at least 15 ECT in Mathematical Statistics or 90 ECTS including at least 7,5 ECTS in Mathematical Statistics and at least one of the courses Genetics and Gene Technology (5MO018), Gene Expression (5MO019), Structural Biology (5MO022) or Bioinformatics and Genome Analysis (5MO020). Proficiency in English and Swedish equivalent to the level required for basic eligibility for higher studies. Entry requirements


Guaranteed place Applicants in some programs at Umeå University have guaranteed admission to this course. The number of places for a single course may therefore be limited.

Application code



Online applications are now open. You will be transferred to Application deadline is 17 October 2022. How to apply

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

SEK 900

Tuition fee, first instalment

SEK 17,850

Total fee

SEK 17,850

Contact us

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Contactperson for the course is:
Study counselor Lars-Daniel Öhman