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- Intro
- Programmes 2025-27
- Programmes from 2028
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- Step 1: Application Deadlines
- Step 2: Admission Requirements
- Step 3: Required Documentation
- Step 4: Pay the Application Fee
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- Step 7: Process after Submission
- Legal claim to admission to master’s programmes at RUC
- Re-enrollment and readmission to a master's programme
- Summer prerequisite studies
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- Events
- Study start
- Contact
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- News
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Teaching languageEnglish
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Study startSep
Introduction to the programme
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.
Our profile
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. 真人线上娱乐 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.
Study environment
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. 真人线上娱乐 have an informal tone and an open-door policy, so academic, practical, and technical support is always close by. 真人线上娱乐 are all driven by a genuine love of mathematics and an interest in applying its many aspects to real world problems.
真人线上娱乐 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.
Career and qualifications
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.
- Director at Denmark?s Export and Investment Fund, supporting Danish export
- Senior Software Developer at Edlund, developing it-solutions for the insurance business
- Professor at DTU Aqua, National Institute of Aquatic Resources, researching management of aquatic resources
Brochure about the programme
Legal claim and admission
The programme is closed for admission but students with a legal right of admission (retskrav) can still be admitted. The following programmes give legal right of admission to Mathematical Bioscience:
Naturvidenskabelig bachelor with one of the following combinations
- Mathematics + Bioprocess Science
- Mathematics + Chemistry
- Mathematics + Computer Science
- Mathematics + Datalogi
- Mathematics + Environmental Biology
- Mathematics + Medicinalbiologi
- Mathematics + Molecular Biology
- Mathematics + Physics
International 真人线上娱乐 in Natural Sciences with one of the following combinations
- Mathematics + Chemistry
- Mathematics + Computer Science
- Mathematics + Datalogi
- Mathematics + Environmental Biology
- Mathematics + Medicinalbiologi
- Mathematics + Molecular Biology
- Mathematics + Physics
Specialise
From the second semester, you shape your education yourself. You can specialise in:
Mathematical Bioscience with Scientific Computing
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.
Mathematical Environmental Bioscience
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.
Mathematical Bioscience of Diseases
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.
Study Programme
| 1. year | 2. year | ||
|---|---|---|---|
| 1. semester | 2. semester | 3. semester | 4. semester |
| Course
Modelling of Biological Systems 10 ECTS |
Course
Dynamical Systems Analysis 5 ECTS |
Course
Parameter Estimation 5 ECTS |
Thesis
Thesis in Mathematical Bioscience 30 ECTS |
| Course
Probability and Statistics 5 ECTS |
Course
Differential Geometry 5 ECTS |
||
| Course General Molecular and Medical Biology 5 ECTS |
Course
Bioinformatics 5 ECTS |
Elective course
Seminar Course in Molecular Health Science 5 ECTS |
|
| Project Modelling project 15 ECTS |
Course
Applied Data Science and Data Visualisation 5 ECTS |
Project
Specialisation Project or Internship Project-oriented Internship 15 ECTS |
|
| Course
Scientific Computing and Data Science 10 ECTS |
|||
| 1. year | 2. year | ||
|---|---|---|---|
| 1. semester | 2. semester | 3. semester | 4. semester |
| Course
Modelling of Biological Systems 10 ECTS |
Course
Dynamical Systems Analysis 5 ECTS |
Course
Parameter Estimation 5 ECTS |
Thesis
Thesis in Mathematical Bioscience 30 ECTS |
| Course
Probability and Statistics 5 ECTS |
Course
Differential Geometry 5 ECTS |
||
| Course General Molecular and Medical Biology 5 ECTS |
Course
Biodiversity and conservation 5 ECTS |
Course
Sustainable Use of Biological Systems 5 ECTS |
|
| Project Modelling project 15 ECTS |
Course
Methods in Ecology 5 ECTS |
Project
Specialisation Project or Internship Project-oriented Internship 15 ECTS |
|
| Course
Scientific Computing and Data Science 10 ECTS |
|||
| 1. year | 2. year | ||
|---|---|---|---|
| 1. semester | 2. semester | 3. semester | 4. semester |
| Course
Modelling of Biological Systems 10 ECTS |
Course
Dynamical Systems Analysis 5 ECTS |
Course
Parameter Estimation 5 ECTS |
Thesis
Thesis in Mathematical Bioscience 30 ECTS |
| Course
Probability and Statistics 5 ECTS |
Course
Differential Geometry 5 ECTS |
||
| Course General Molecular and Medical Biology 5 ECTS |
Course
Bioinformatics 5 ECTS |
Course
Pharmacology 5 ECTS |
|
| Project Modelling project 15 ECTS |
Course
Advanced Eukaryotic Cell Biology 1 – Inside the Cell 5 ECTS |
Project
Specialisation Project or Internship Project-oriented Internship 15 ECTS |
|
| Course
Scientific Computing and Data Science 10 ECTS |
|||
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