Programme structure

On this page you can find detailed information about the programme’s content.

Outline

The structure of the programme is flexible in order to increase your opportunities to tailor your studies to your own interests, which means that some courses may be offered across several different semesters. As a result, the course list below does not always provide a complete picture of the semester in which you will study a specific course. Please also note that you can only be admitted to courses for which you meet the entry requirements. If you have any questions, please contact the programme’s study counsellor.

Course overview

Year 1

Name	Type	Semester	Credits
Bioinformatics: Bioinformatics and Sequence Analysis	Compulsory	1	7.5
Bioinformatics: Programming in Python	Compulsory	1	7.5
Mathematics: Mathematics for Scientists 2	Compulsory	1	15
Biology: Conservation Biology	—	2	15
Biology: Molecular Ecology and Evolution	—	2	15
Biology: Cellular and Molecular Neurobiology	—	2	15
Physical Geography: Ecosystem Modeling	—	2	15
Biology: Genetic Analysis	—	2	7.5
Biology: Microscopy - Bio-Imaging	—	2	7.5
Biology: Applied Bioinformatics	—	2	7.5

Year 2

Name	Type	Semester	Credits
Computational Science: Modelling in Computational Science	Compulsory	3	7.5
Computational Science: Reproducible Data Science and Statistical Learning	Compulsory	3	7.5
Biology: Ecology - Advanced Course	Compulsory	3	15
Biology: Processing and Analysis of Biological Data	Compulsory	3	7.5
Statistics: Bayesian Methods	—	3	7.5
Biology: Pharmacology	—	3	15
Biology: Immunology	—	3	15
Biology: Ecotoxicology	—	3	15
Biology: Evolutionary Biology - Patterns and Processes	—	3	15
Biology: Population and Community Ecology	—	3	15
Applied Computational Science - Biology: Master's Degree Project	Compulsory	4	30

Programme syllabus

The syllabus provides an overview of the programme. It outlines the admission requirements, lists the courses included, and explains which degree the studies lead to.

Syllabus (PDF, new tab)