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Örebro University
Bioinformatics, AI and Network Biology for Precision Medicine and Health
Precision medicine aims at combining a wealth of patient data of many different kinds into diagnostic, prognostic and treatment responder prediction signatures for clinical use. This course teaches, hands-on, how molecular, pre-clinical and different kinds of clinical data are combined based on approaches from bioin…
- Higher education
- Information unavailable
- 29 March 2027
- Ortsoberoende
- Information unavailable
- 50 %
Overview
Precision medicine aims at combining a wealth of patient data of many different kinds into diagnostic, prognostic and treatment responder prediction signatures for clinical use. This course teaches, hands-on, how molecular, pre-clinical and different kinds of clinical data are combined based on approaches from bioinformatics, network medicine, machine learning and AI modelling. Awareness and methodology for data with diverse characteristics are taught and modelling approaches practised on students own hardware or on online services as an inter-professional course, with students both from (bio)medicine, biology, chemistry or other life sciences, as well as with students from computational engineering, data science, statistics or other data science related fields. An important course aim is to learn about inter-professional communication and necessary knowledge for fruitful project collaboration between these different fields.
Admission scores
Entry requirements
A first-cycle education comprising at least 180 credits, of which at least 60 credits are within biochemistry, biology, biomedicine, chemistry, computer science, informatics, mathematics, medicine, statistics, or equivalent. The applicant must also have qualifications corresponding to the course “English 6” or course “English level 2” from the Swedish Upper Secondary School.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2027-03-29
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.oru.mc811a.v8302.20271
- Last checked
- 2026-09-23T10:38:57.404306+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
Application and important dates
- Programme or course starts
- Programme or course ends
Salary and salary distribution
Common occupations after graduation
Students
Geographical background
Previous upper-secondary schools and programmes
Completion and outcomes
About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.oru.mc811a.v8302.20271
- Offering identity in the source
- e.uoh.oru.mc811a.v8302.20271
- Education-form source code
- HS
- Education code in the source
- MC811A
- Change time according to the source
- 2026-09-10T10:03:10
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.