Programme provision

In order to obtain the MSc Eng degree in Quantitative Biology and Disease Modelling the student must fulfil the following requirements:    

  • Have passed General Competence Courses adding up to at least 30 ECTS points
  • Have passed Technological Specialization Courses adding up to at least 35 ECTS points
  • Have carried out a Master Thesis of at least 30 ECTS points within the scope of the general program
  • Have passed a sufficient number of Elective Courses to bring the total number of ECTS points for the entire course of study to 120 


General Competence Courses (30p)

02411 Statistical Design and Analysis of Experiments 5 point Autumn E2A (Mon 13-17), Spring F1A (Mon 8-12)
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)
ku101 Pathophysiology 10 point Autumn E1 (Mon 8-12, Thurs 13-17)

One of these innovation courses must be taken. 

42500 Innovation in Engineering 5 point January
42501 Innovation in Engineering 5 point June
42502 Facilitating Innovation in Multidisciplinary Teams 5 point January
42503 Facilitating Innovation in Multidisciplinary teams 5 point June
42504 Innovation in Engineering 5 point August
42505 Facilitating Innovation in Multidisciplinary teams 5 point August

One of these courses must be taken. Note: if you go the bioinformartics heavy track, systems biology is preferred. 

22202 Molecular diagnostics and precision medicine 5 point Spring F2A (Mon 13-17)
27641 Systems biology 5 point Autumn E5B (Wed 13-17)

It is preferred to take any of the 42500 innovation courses before Module-1. In the 42500 courses, you will get generic training on the innovation process that can be applied in Module-1 (22231)

Molecular pathology (KU115) has been replaced by Pathophysiology (KU101) and Molecular  Diagnostics and Precision medicine (22202). Students who has already passed Molecular pathology (KU115) will not be required to take KU101 and 22202. Students admitted before autumn 2020 can freely chose between KU115 or the combination of KU101 and 22202.

22202 may make problmes to take a semester abroad. However, 22202 can be taken as a physical course or online. 

Technological Specialization Courses (30p)

Mandatory courses: 

27322 Immunology 10 point Spring F3A (Tues 8-12)
KU115 Pharmacometrics 7.5 point Autumn E3A (Tues 8-12) and Autumn E2B (Thurs 8-12) and Autumn E1B (Thurs 13-17)

At least 12,5 ETCS must be selected among the following courses:

02170 Database Systems 5 point Spring F2B (Thurs 8-12)
02409 Multivariate Statistics 5 point Autumn E1A (Mon 8-12)
02417 Time Series Analysis 5 point Spring F4B (Fri 8-12)
02418 Statistical modelling: Theory and practice 5 point Autumn E4A (Tues 13-17)
02424 Advanced Dataanalysis and Statistical Modelling 5 point Spring F2A (Mon 13-17)
02429 Analysis of correlated data: Mixed linear models 5 point Autumn E2B (Thurs 8-12)
02443 Stochastic Simulation 5 point June
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)
22110 Python and Unix for Bioinformaticians 10 point Autumn E2 (Mon 13-17, Thurs 8-12)
22117 Protein structure and computational biology 5 point Spring F5A (Wed 8-12)
22123 Computational Precision Medicine 5 point June
22126 Next-Generation-Sequencing Analysis 5 point January
22145 Immunological Bioinformatics 5 point Autumn E5A (Wed 8-12)
22200 Mucosal immunology 5 point Autumn E4A (Tues 13-17)
22201 Immune System, Anatomy & Development 5 point Spring F4B (Fri 8-12)
22236 Immunotherapy 5 point Spring F2B (Thurs 8-12)
23205 Fighting infectious diseases 5 point Autumn E4B (Fri 8-12)
23258 General medical microbiology 5 point Spring F1B (Thurs 13-17)
27102 Assay technology 5 point August
27101 Assay Technology 5 point June
27220 Advanced prokaryotic biotechnology 5 point Spring F4A (Tues 13-17)
27250 Molecular host-pathogen interactions 5 point Autumn E4A (Tues 13-17)
KU105 Advanced Physiological Modelling 10 point Autumn E5 (Wed 8-17)
KU112 Physics of Molecular Diseases 7.5 point Spring
KU113 Laboratory Animal Science Function ABD 7.5 point Outside schedule structure

A Master thesis of 30, 32,5 or 35 ECTS. See rules for the master thesis.

Elective Courses (30 ECTS)

Any course classified as 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.

Head of Studies

Martin Dufva

Martin Dufva Groupleader, Associate Professor Mobile: 5133 3753