Curriculum

Programme provision

In order to obtain the MSc degree in Bioinformatics and Systems Biology students must fulfill the following requirements:

  • Have passed General Competence Courses adding up to at least 30 points
  • Have passed Technological Specialization Courses adding up to at least 30 points
  • Have performed a Master Thesis of at least 30 points within Systems Biology
  • Have passed a sufficient number of Elective Courses to bring the total number of points of the entire study to 120

Curriculum

General Competence Courses

A total of 30 ETCS must be completed in General Competence Courses. General Competence Courses are divided into three groups: GR1 consists of 15 ECTS mandatory courses that teaches essential skills relating to the specific field of this programme, GR2 courses relate to innovation, entrepreneurship & management and GR3 are optional general competences.

GR1 - The following courses are mandatory:

22100 R for Bio Data Science 5 point Autumn E3A (Tues 8-12)
22126 Next-Generation-Sequencing Analysis 5 point January
23260 Applied methods in metagenomics 5 point Autumn E4A (Tues 13-17)

GR2 - At least 10 ECTS under general competences must be within Innovation and entrepreneurship related courses.

5 ECTS must be achieved from the following list of mandatory innovation courses:

42500 Innovation in Engineering 5 point January
or
42504 Innovation in Engineering 5 point August
or
42501 Innovation in Engineering 5 point June

Students with advanced innovation competences may take one of the following courses as an alternative to 42500/42504:

42502 Facilitating Innovation in Multidisciplinary Teams 5 point January
or
42505 Facilitating Innovation in Multidisciplinary teams 5 point August
or
42503 Facilitating Innovation in Multidisciplinary teams 5 point June

At least 5 ECTS must be achieved from either the following list of Innovation and entrepreneurship related regular courses, or from the iGEM or BBiP programs (see below for details):

22179 Module 3: Value creation in pharma- and biotechnology 5 point January and June
22231 Module 1: From idea to project plan in biotech and pharmaceutical research 5 point Autumn E4B (Fri 8-12) and Autumn E3B (Fri 13-17)
23531 Entrepreneurship in food and bio engineering 5 point August
38101 Knowledge-based Entrepreneurship 5 point Autumn E2A (Mon 13-17)
38103 X-Tech Entrepreneurship 10 point Spring F3 (Tues 8-12, Fri 13-17), Autumn E3 (Tues 8-12, Fri 13-17)

The iGEM and BBiP programmes will also count as general competence in the innovation and entrepreneurship category. These should be taken as special courses: 

iGEM International Genetically Engineered Machine competition 

BBIP BioBusiness and Innovation Platform at Copenhagen Business School

GR3 - The remaining points under general competences must be achieved from the following:

02418 Statistical modelling: Theory and practice 5 point Autumn E4A (Tues 13-17)
02441 Applied Statistics and Statistical Software 5 point January
22107 Research Immersion, Life Science 5 point August
22111 Introduction to Bioinformatics 5 point Autumn E4A (Tues 13-17)
23258 General medical microbiology 5 point Spring F1B (Thurs 13-17)
27230 Prokaryotic cell biology 5 point Autumn E1A (Mon 8-12)
27430 Eukaryotic cell biology 5 point Autumn E2B (Thurs 8-12)
28855 Good Manufacturing Practice (GMP) and quality in pharmaceutical, biotech and food industry - Theoretical version 5 point Spring F1B (Thurs 13-17)

Technological Specialization Courses

A total of 30 ETCS must be completed from the below lists of Technological Specialization Courses. The list of courses differ among the three recommended study lines. 

Students who want to follow one of the recommended study lines can choose between Biomedical bioinformatics, Infectious disease health informatics and Bioinformatic methods in life science.

02450 Introduction to Machine Learning and Data Mining 5 point Spring F4A (Tues 13-17), Autumn E4A (Tues 13-17)
02456 Deep learning 5 point Autumn E2A (Mon 13-17)
02477 Bayesian machine learning 5 point Spring F2A (Mon 13-17)
02582 Computational Data Analysis 5 point Spring F2B (Thurs 8-12)
02586 Statistical Genetics 5 point Autumn E1A (Mon 8-12)
22112 High Performance Computing in Life Science 5 point Autumn E2A (Mon 13-17)
22115 Computational Molecular Evolution 5 point Spring F5B (Wed 13-17)
22117 Protein structure and computational biology 5 point Spring F5A (Wed 8-12)
22123 Computational Precision Medicine 5 point June
22125 Algorithms in bioinformatics 5 point June
22145 Immunological Bioinformatics 5 point Autumn E5A (Wed 8-12)
23205 Fighting infectious diseases 5 point Autumn E4B (Fri 8-12)
23257 Compositional data analysis with applications in genomics 5 point Spring F2A (Mon 13-17)
23261 Surveillance and epidemiology of infectious diseases 5 point Spring F2A (Mon 13-17)
23262 Infectious disease bioinformatics 5 point Spring F3A (Tues 8-12)
25334 Genomic methods in breeding and management of aquatic living resources 5 point Autumn E5A (Wed 8-12)
27230 Prokaryotic cell biology 5 point Autumn E1A (Mon 8-12)
27250 Molecular host-pathogen interactions 5 point Autumn E4A (Tues 13-17)
27322 Immunology 10 point Spring F3A (Tues 8-12)
27422 Biosynthesis of natural products 5 point Spring F1B (Thurs 13-17)
27641 Systems biology 5 point Autumn E5B (Wed 13-17)

Elective courses

Any course classified as an MSc course in DTU's course base may be taken for credit as an elective course. This includes general competence and technological specialization courses in excess of the minimal requirements. Master students may choose as much as 10 credit points among the bachelor courses at DTU and courses at an equivalent level from other higher institutions. It is also possible to take MSc-level courses at other universities.

Head of Studies

Morten Nielsen

Morten Nielsen Groupleader, Professor Department of Health Technology Phone: +45 45252425