Bioinformatics
Course, Master's level, 3MR103
Expand the information below to show details on how to apply and entry requirements.
Spring 2027 Spring 2027, Uppsala, 100%, On-campus, English
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 29 March 2027–6 June 2027
- Language of instruction
- English
- Entry requirements
-
Undergraduate education of 180 credits within life sciences (e.g. biomedicine, biotechnology, medicine, veterinary medicine) including at least 10 credits each of cell biology and biochemistry. In addition, 7.5 credits in genetics at Master's level are required. Proficiency in English equivalent to the general entry requirements for first-cycle (Bachelor's level) studies.
- Selection
-
Higher education credits (maximum 285 credits)
- Fees
- If you are not a citizen of a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are required to pay application and tuition fees.
- First tuition fee instalment: SEK 41,250
- Total tuition fee: SEK 41,250
- Application deadline
- 15 October 2026
- Application code
- UU-93602
Admitted or on the waiting list?
- Registration period
- 15 March 2027–28 March 2027
- Information on registration from the department
Spring 2027 Spring 2027, Uppsala, 100%, On-campus, English For exchange students
- Location
- Uppsala
- Pace of study
- 100%
- Teaching form
- On-campus
- Instructional time
- Daytime
- Study period
- 29 March 2027–6 June 2027
- Language of instruction
- English
- Entry requirements
-
Undergraduate education of 180 credits within life sciences (e.g. biomedicine, biotechnology, medicine, veterinary medicine) including at least 10 credits each of cell biology and biochemistry. In addition, 7.5 credits in genetics at Master's level are required. Proficiency in English equivalent to the general entry requirements for first-cycle (Bachelor's level) studies.
Admitted or on the waiting list?
- Registration period
- 15 March 2027–28 March 2027
- Information on registration from the department
About the course
The course utilises current research problems to illustrate different statistical and bioinformatics data analysis methods used for genomics data and their applications in studies of human genetics, model organism biology and natural variation and evolution. Data that are analysed include large-scale genetic polymorphism data from next-generation sequencing and SNP-chip. The course gives insight into the central role of statistical and bioinformatics analysis in current genomics and other '-omics' research and experience in using state-of-the-art methodologies.
Reading list
No reading list found.