Quantitative Biology and Disease Modelling 

Overview

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The world needs graduates with extensive knowledge of pathology, mechanisms and treatment of disease, and handling of quantitative biological data to make mathematical models that improve our understanding of complex diseases and their prevention or treatment.

Study programme focus

On the MSc Eng in Quantitative Biology and Disease Modelling from the Technical University of Denmark (DTU) , you will build upon previous experience in mathematics and mathematical modelling, pharmacology, biology, and pathology to master quantitative biology and pathology and create relevant mathematical models to advance the understanding of disease mechanisms. While the aim of other study programmes is ‘engineering for biology’ by developing new technical solutions to biological problems, or ‘engineering of biology’ by developing biotechnology solutions to biological production; our aim is to ‘engineer with biology’ to increase our understanding of biology through a quantitative and modelling approach. These skills will give you unique tools to develop new effective drugs, and advance the understanding and treatment of multifactorial and complex diseases.

The core of the MSc Eng programme consists of mandatory courses in molecular pathology, immunology, systems biology and pharmaceutical PK/PD modelling supplemented by statistics and advanced technological and modelling specialization.

A clear profile

Quantitative Biology and Disease Modelling has a clear MSc Eng profile and admission requires biological training at BSc level in biology, chemistry, and pharmacology, as well as computer programming and mathematical modelling to continue with the mandatory courses. Beyond the mandatory training there are no predefined study lines or recommended programmes so you can choose from a pool of technological specialization courses and the extensive range of elective courses offered by DTU and UCPH.

Career opportunities

We expect our graduates will be employed by Danish and international pharmaceutical companies, hospitals, universities, and wherever biological data are generated. Here they will be involved in the various stages of drug development, including basic research and development as well as interpretation of preclinical research in animal and cell models, and in production-related areas such as CMC production design and documentation.

With a programme where students learn and understand the power of computers and programming, as well as have a deep understanding of the biological processes involved in health and disease, the expectation is that many will soon find themselves as multidisciplinary project leaders.