A 60-credit second-cycle programme that teaches how AI methods are applied to bioinformatics problems. It combines programming, statistical modelling and large-scale data handling; suited to students aiming for research or technical roles where biological data analysis and AI intersect.
Coursework emphasises AI approaches to biological data: analysis with AI-based methods, programming for bioinformatics, statistical modelling, collecting and processing large-scale data, and critical assessment of results. The programme trains independent problem solving and the ability to plan and carry out analyses on large datasets.
Admission follows the university's application rounds. International applicants (and those needing a Swedish study visa) should apply in the international round; the national round is for national and EU/EEA applicants. Specific application windows, deadlines and how to apply are provided by the university's admissions portals.
Graduates gain competence to conduct research-driven work and to manage and interpret large biological datasets using AI techniques. The programme prepares students for roles that demand combining AI, programming and statistical skills in bioinformatics contexts and for further academic study.
The university offers a Master's Scholarship with information and an application process linked from the programme page; applicants should consult the university for eligibility details and application instructions.
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