Systems Biology
Summary
The course in Systems Biology is designed for those interested in a career in bioinformatics or in molecular biology, biochemistry, and biotechnology research and development with a focus on data analysis. You will learn programming, mathematical modelling, and AI/machine learning with biological networks. By the end of the course, you will be able to tackle complex biological questions using modern computational and modelling strategies. The skills you acquire are highly sought after in both academic research and industry.
About
In the course Systems Biology, you will learn to analyse and understand complex biological systems, such as signalling pathways, organelles, and entire cells, using artificial intelligence (AI) and mathematical modelling.
You will begin by learning how to manage and process large datasets, for example related to proteins (proteomics) and metabolic products (metabolomics). You will then explore the use of AI through various machine learning techniques, as well as mathematical modelling, to understand how biomolecules influence one another and interact within networks.
Through project-based learning, where you work with large-scale data from current research projects, you will have the opportunity to apply and further develop the knowledge you have acquired. During these projects, you will deepen your skills in the Python programming language, molecular biology and biochemical statistics, and learn to use modern bioinformatic tools to present and interpret large biological datasets.
Course Content
The course consists of two parts:
- A theoretical part (7.5 credits) including lectures and literature seminars.
- A practical part (7.5 credits) where you gain hands-on experience in data analysis. You will learn to assess data quality, design analysis workflows, and integrate multiple types of ‘omics’ data to model and simulate biological systems.
Teaching
The course includes
- lectures
- group seminars
- presentations
- data labs
- projects
- group discussions.
Throughout the course, you will receive guidance from experienced instructors.
Prerequisites and selection
Entry requirements
For admission to the course, at least 120 credits (or equivalent) in any of the following fields: natural sciences (including mathematics), medicine or pharmacy.
It is required to have a basic coding proficiency (recommended: Python) such as from the course BIO511 (or equivalent).
Further, the course BIO512 (or equivalent) is recommended.
In addition, English proficiency is required to the level of English 6/English Course B from Swedish Upper Secondary School, or be certified by an internationally recognized test, for example TOEFL or IELTS or equivalent.
Selection
Selection is based upon the number of credits from previous university studies, maximum 165 credits.
After graduation
The course Systems Biology is part of the Master's Programme in Bioinformatics. You can also take it as a stand-alone course.
Facilities
The teaching takes place primarily in Medicinarelängan and in Natrium on Medicinareberget in Gothenburg.
