Artificial Intelligence for Bioinformatics – Master’s programme

Education facts

Code: AIBIA

<p>The programme provides an in-depth understanding of how AI can be applied in bioinformatics. You will learn to analyse biological data using AI-based methods, programming, and statistical models. Additionally, you will develop the ability to independently solve problems, plan and conduct analyses, collect and process large-scale data, and critically assess results. The programme offers a solid scientific foundation while equipping you with practical skills to manage and interpret large datasets.</p><h2>The Focus of Your Studies</h2><p>The programme lasts one year, and all teaching is conducted in English.</p><h3>First semester</h3><p>The first semester consists of four courses that provide a thorough introduction to machine learning algorithms, including both symbolic methods and neural networks. You will also be introduced to deep learning and its applications. The courses focus on bioinformatics analysis workflows, particularly how AI can be used to process sequence data and integrate multi-omics data. You will develop practical skills in using AI tools to analyse large biological datasets. Additionally, a course on current research in AI for bioinformatics is included, providing an introduction to scientific methodology and academic writing.&nbsp;</p><h3>Second semester</h3><p>The second semester consists of a degree project (30 credits). You will apply your knowledge to a current and relevant research question in bioinformatics, either by implementing or developing AI-based methods.</p><h2>Career Opportunities</h2><p>The demand for educated bioinformaticians is increasing. With specialised expertise in AI, you can work in areas such as:</p><ul><li>Molecular biology research and data analysis</li><li>Development of bioinformatics methods and tools</li><li>The biotechnology and pharmaceutical industries</li><li>Consultancy in bioinformatics and AI</li></ul><p>Job opportunities can be found at research institutes, biotech companies, pharmaceutical firms, and companies working with bioinformatics development or consultancy.</p><h2>Further studies</h2><p>After completing your degree, you may continue with doctoral studies in bioinformatics.&nbsp;</p><h2>Research</h2><p>Research in bioinformatics is advancing rapidly. It can be divided into the development of new bioinformatics tools and the application of these tools to analyse biological data.</p><p><a href="https://www.his.se/en/research/systems-biology/translational-bioinformatics/">The Translational Bioinformatics research group</a> focuses on developing algorithms and AI-based methods for integrating large-scale data and identifying biomarkers. The group's application areas include disease modelling, drug development, and stem cell differentiation.</p><h2>Study Abroad</h2><p>During your studies, you have the opportunity to study abroad at one of our partner universities. Studying abroad provides you with an international profile and the chance to build a global network in bioinformatics and AI.</p>

Entry requirements

A Bachelor’s degree equivalent to a Swedish kandidatexamen of 180 credits, with a major in the subject areas of&nbsp;biology, biomedicine or computer science (or the equivalent). The biological area can be defined as e.g. Bioinformatics, Systems Biology, Molecular Biology or Microbiology.Additionally, passed courses of at least 7.5 credits in Bioinformatics, 7.5 credits in Cell Biology and 15 credits in Programming are required (or the equivalent).&nbsp;An additional requirement is proof of skills in English equivalent of studies at upper secondary level in Sweden, known as the Swedish course English 6 or English level 2. This is normally demonstrated by means of an internationally recognized language test, e.g. IELTS or TOEFL.&nbsp;&nbsp;

Education offerings

Each offering has its own dates and conditions. Closed offerings are retained as history and do not mean that a new application is open.

• Artificial Intelligence for Bioinformatics – Master’s programme

  University of Skövde

  Skövde

  Start date: 18 January 2027

  End date: 16 January 2028

  Pace of study: 100 %