Why study Mathematical Bioscience?
Karen Timmermann
Professor, DTU
Illnesses, pollutants, viruses – all spread and develop in patterns of cause and effect, that can be detected with mathematical models. In the Master’s programme in Mathematical Bioscience, we combine biology and mathematics to address challenges to our health, environment, and society as a whole.
In the interdisciplinary programme, you will learn to apply mathematical modelling to societal challenges within health and disease development or the environment. You will train to analyse datasets of physical, biological, and chemical processes – be it the development of a pandemic disease, the growth of a cancer tumour or the spreading of microplastic in the environment – and develop mathematical models describing these processes. With the use of mathematics, you will learn to uncover patterns, generate new knowledge, and thus contribute to predict, optimise, and control diseases and pollution.
Computer programming and simulations are integrated parts of the programme. We often work with datasets generated in labs, which we model using mathematics and computer simulations. You will train in scientific computing and data science as well as in dynamic systems analysis, and through these learn to describe biological systems and processes using mathematic models.
Among our research areas are optimisation of cancer and diabetes treatments, prevention of epidemic outbreaks, design of environmental solutions, modelling of processes and development and implementation of efficient parameter estimation methods based on health care data. The department hosts two major research centres: PandemiX, specialising in the spreading of pandemics, and Cancitis, specialising in cancer treatment. You will work closely with researchers and fellow students, pursuing your own academic interests through problem-oriented project learning and interdisciplinary problem solving.
You will be studying in a relatively small active research environment and work side by side with PhD-students and experienced researchers, and you will be invited to participate in research projects all throughout the programme. We have an informal tone and an open-door policy, so academic, practical, and technical support is always close by. We are all driven by a genuine love of mathematics and an interest in applying its many aspects to real world problems.
We are part of the department of Science and Environment, which also holds the Master’s programme in Physics and Scientific Modelling, and you will meet many students from here through our joint social and extracurricular activities. These include academic seminars, student run events as the Natcafé, boardgames nights and alumni events, where you can meet former students. Once a year, we hold a two-day overnight seminar with all students and staff, where we debate issues pertaining to student life.
Our candidates are highly sought-after in sectors and businesses, which uses mathematical modelling and computational methods to describe and understand complex, real-world challenges. These include the bio-chemical and biotech industry, the healthcare sector, financial sector, public research institutions and administration as well as consultancy companies within the environmental area. Thus, this programme gives you a wide range of job opportunities and also qualifies you to enter a PhD-programme.
Fra 2. semester former du selv din uddannelse. Du kan specialisere dig inden for:
You will develop computational knowledge and numeric skills in scientific computing and data science and you will acquire methods in bioinformatics and advanced data analysis, statistics and probability theory.
You will develop computational knowledge and numeric skills in scientific computing and you will acquire methods in ecology to be able to specialise in mathematical modelling of biological macroscopic eco-systems.
You will develop computational knowledge and numeric skills in scientific computing and data science and you will acquire methods in bioinformatics and you will be able to specialise in mathematical modelling of human diseases, cancer, and epidemics.
1. år | 2. år | ||
---|---|---|---|
1. semester | 2. semester | 3. semester | 4. semester |
Kursus
Modelling of Biological Systems 10 ECTS |
Kursus
Dynamical Systems Analysis 5 ECTS |
Kursus
Parameter Estimation 5 ECTS |
Speciale
Speciale i Mathematical Bioscience 30 ECTS |
Kursus
Probability and Statistics 5 ECTS |
Kursus
Differential Geometry 5 ECTS |
||
Kursus General Molecular and Medical Biology 5 ECTS |
Kursus
Bioinformatics 5 ECTS |
Valgkursus
Seminar Course in Molecular Health Science 5 ECTS |
|
Projekt Modelling project 15 ECTS |
Kursus
Applied Data Science and Data Visualisation 5 ECTS |
Projekt
Specialisation Project eller Praktik Project-Oriented Internship 15 ECTS |
|
Kursus
Scientific Computing and Data Science 10 ECTS |
|||
1. år | 2. år | ||
---|---|---|---|
1. semester | 2. semester | 3. semester | 4. semester |
Kursus
Modelling of Biological Systems 10 ECTS |
Kursus
Dynamical Systems Analysis 5 ECTS |
Kursus
Parameter Estimation 5 ECTS |
Speciale
Speciale i Mathematical Bioscience 30 ECTS |
Kursus
Probability and Statistics 5 ECTS |
Kursus
Differential Geometry 5 ECTS |
||
Kursus General Molecular and Medical Biology 5 ECTS |
Kursus
Biodiversity and conservation 5 ECTS |
Kursus
Sustainable Use of Biological Systems 5 ECTS |
|
Projekt Modelling project 15 ECTS |
Kursus
Methods in Ecology 5 ECTS |
Projekt
Specialisation Project eller Praktik Project-Oriented Internship 15 ECTS |
|
Kursus
Scientific Computing and Data Science 10 ECTS |
|||
1. år | 2. år | ||
---|---|---|---|
1. semester | 2. semester | 3. semester | 4. semester |
Kursus
Modelling of Biological Systems 10 ECTS |
Kursus
Dynamical Systems Analysis 5 ECTS |
Kursus
Parameter Estimation 5 ECTS |
Speciale
Speciale i Mathematical Bioscience 30 ECTS |
Kursus
Probability and Statistics 5 ECTS |
Kursus
Differential Geometry 5 ECTS |
||
Kursus General Molecular and Medical Biology 5 ECTS |
Kursus
Bioinformatics 5 ECTS |
Kursus
Pharmacology 5 ECTS |
|
Projekt Modelling project 15 ECTS |
Kursus
Advanced Eukaryotic Cell Biology 1 – Inside the Cell 5 ECTS |
Projekt
Specialisation Project eller Praktik Project-Oriented Internship 15 ECTS |
|
Kursus
Scientific Computing and Data Science 10 ECTS |
|||
Karen Timmermann
Professor, DTU
Du kan vælge at bruge et semester på at rejse ud med din uddannelse. Enten i praktik hos en af vores partnervirksomheder eller hos en virksomhed, som du selv finder frem til. Du afprøver dine kompetencer, faglige og processuelle, i et job, får værdifulde kontakter og bliver klogere på, om det er en fremtidig karriere for dig. Du kan også vælge at tage et semesters udveksling på et partneruniversitet i udlandet, hvor du kan få internationalt udsyn, erfaring og netværk.
Du bliver en del af et stærkt fagmiljø, hvor du er tæt på forskerne, i dialog om alt fra faglige problemstillinger, mulige metoder og teorier, veje til at skabe nye indsigter og dine ønsker til faglig retning for din kandidatuddannelse. Du bliver en del af et socialt miljø typisk centreret i én bygning på campus, hvor forskere og studerende arbejder dør om dør. Du kommer til at studere inden for universitetets projektform, hvor identifikation af en problemstilling, dybdegående analyser, valg og implementering af metodisk tilgang, samt opstilling af en stærkt teoretisk ramme er dit ansvar under faglig vejledning fra en forsker. Du kommer til at deltage i en række kurser, som udvider dine metodiske og teoretiske viden. I løbet af et semester vil du opstille et væsentligt problem inden for dit fag og udvikle viden til at fremstille videnskabelige argumenter for løsningsmulighed(er). Du får konkret erfaring med den hele videnskabelige proces.
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