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MSc Eng graduates in Quantitative Biology and Disease Modelling are educated in the interface between pathology, pharmacology, and mathematical modeling.
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.
Quantitative Biology and Disease Modelling is an interdisciplinary program offered by DTU in collaboration with the Faculty of Health and Medical Sciences at the University of Copenhagen (UCPH).
Study program focus
On the MSc Eng in Quantitative Biology and Disease Modelling, you will build upon previous experience in mathematics and mathematical modeling, 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 programs 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 modeling 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 program consists of mandatory courses in molecular pathology, immunology, systems biology and pharmaceutical PK/PD modeling supplemented by statistics and advanced technological and modeling 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 modeling to continue with the mandatory courses. Beyond the mandatory training, there are no predefined study lines or recommended programs so you can choose from a pool of technological specialization courses and the extensive range of elective courses offered by DTU and UCPH.
You may choose to focus on laboratory animal science, immunology, microbiology, advanced programming, and modeling, or take advantage of the many research groups at both DTU and UCPH engaged in e.g. cancer immunology, obesity, or diabetes. Here you can design special individual courses to apply mathematical models to analyze their quantitative data, and maybe follow up with your own biological experimental work in your thesis to further advance and refine the models.
Combine work with studies
This study program is also available as an Industry study program where you can combine work and study over a 4-year period. Special rules apply.
Pursue a Ph.D.
Once you have an MSc in Engineering, you might get the opportunity to continue your studies and apply for admission to the three-year Ph.D., which at DTU or at the University of Copenhagen is a research-based program ranking among the best in the world. At DTU, you can do either a regular Ph.D. or an industrial Ph.D.—the latter with concurrent employment in a company.
As a Ph.D. student, you will be part of a research group and have to carry out an independent scientific project.
You will not find focus areas or specializations on the DTU Quantitative Biology and Disease Modelling MSc Eng program.
You can, however, choose from a range of technological specialization courses and combine these with elective courses to create precisely the individual profile to match your interests and background. That said, there is still a number of core mandatory courses clearly defining the Quantitative Biology and Disease Modelling graduate.
These courses cover the molecular understanding of disease processes, systems biology, immunology, and pharmacometrics supplemented by statistics. On top of this, you may want to advance your computer programming skills, get your hands-on laboratory animal work, or focus on a deeper understanding of immunology and host responses. It is also possible to design individual special courses with research groups, maybe in advance of your thesis work.
In addition, we are keen to ensure that you combine your skills in quantitative biology and disease modeling in your final thesis work, so you graduate with a clearly recognizable profile; detailed knowledge of disease processes and hands-on experience in making sense of quantitative biological data.
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