Introduction to AI in Bioinformatics A1N

Education facts

Code: BI763A

<p>Are you curious about how artificial intelligence can help solve some of biology’s biggest challenges? In this course, you’ll learn how machine learning – with a special focus on deep learning – can be applied to analyze complex biological data, such as gene expression or image analysis. You’ll gain a deeper understanding of how different AI methods work, and when it’s most appropriate to use supervised or unsupervised learning. Through hands-on exercises, you’ll use modern programming platforms and libraries to build, train, and evaluate AI models. You'll work with real biological problems and learn how to properly prepare and structure data to get meaningful results. Version control, model evaluation, and method selection are all integral parts of the course. We also discuss the opportunities and limitations of using AI in biological research. Whether you want to pursue a career in research, work in the biotech industry, or simply understand how AI works in practice, this course provides a solid foundation. You’ll gain both theoretical knowledge and practical skills – a combination that is highly relevant in today’s and tomorrow’s job market. In short: this is a course for those who want to help shape the future of biology through AI.</p>

Entry requirements

150 approved higher education credits, of which a total of at least 90 credits in one or more of the subjects biology, biomedicine or computer science (or the equivalent). The subject biology refers here to programs with a bioinformatics, systems biology, molecular biology or microbiology focus. Of these, at least 15 credits must be at level G2E (or the equivalent).&nbsp;Furthermore, courses of at least 7.5 credits in the subject bioinformatics, 7.5 credits in cell biology and 15 credits in programming (or equivalent knowledge) are required.&nbsp;A further 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 or the equivalent.

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.

• Introduction to AI in Bioinformatics A1N

  University of Skövde

  Skövde

  Start date: 18 January 2027

  End date: 28 March 2027

  Pace of study: 50 %