Syllabus, Master's level, 1MB519
- Education cycle
- Second cycle
- Main field(s) of study and in-depth level
- Bioinformatics A1F, Technology A1F
- Grading system
- Fail (U), Pass (G)
- Finalised by
- The Faculty Board of Science and Technology, 20 October 2022
- Responsible department
- Biology Education Centre
Alt 1. 210 credits within the Master's Programme in Molecular Biotechnology Engineering (300 credits) including 25 credits from completed profile courses: Proteomics and Metabolomics, Data Mining I, Statistical Inference for Bioinformatics or Statistical Inference for Technological Applications, Molecular Evolution, Information Management Systems, Big Data in Life Sciences, Genome Analysis, Knowledge-Based Systems in Bioinformatics, Automated Predictive Modelling.
Alt 2. 30 credits in the Master's Programme in Bioinformatics (120 credits) including 25 credits of the following courses: Script Programming or Programming in Python or Computer Programming I, Statistical Inference for Bioinformatics or Statistical Inference for Technological Applications, Molecular Evolution, Information Management Systems, Big Data in Life Sciences, Genome Analysis, Knowledge-Based Systems in Bioinformatics. Proficiency in English equivalent to the Swedish upper secondary course English 6.
The aim of the course is to apply previously acquired knowledge in a bioinformatic project.
After completing the course the student should be able to:
- plan and carry out a bioinformatic project that intends to solve a biological, biomedically or technical problem
- Critically analyse, value and summarise the obtained results and present those in writing as well as orally
- make well founded scientific, social and ethical assessments of all parts of the project
- search, value and use scientific literature in subjects that lie within the scope of the course and implement this knowledge in the project.
The studies are carried out in the form of project work. The projects are designed in consultation with employer in the industry or academia and include development of new tools or applications of already existing tools to solve biological and biomedical problem. The projects can e.g. include genome annotation, gene expression analysis, population genetic analyses or modelling of metabolic reaction pathways. The course also includes practicing to critically analyse and account for strengths and weaknesses in his own and others' oral and written presentations as well as in the project work (engineering skills, scientific approach and experimental ability).
Project work and seminars
Seminars 3 credits. Written and oral presentation of project work (12 credits).
If there are special reasons for doing so, an examiner may make an exception from the method of assessment indicated and allow a student to be assessed by another method. An example of special reasons might be a certificate regarding special pedagogical support from the University's disability coordinator.