Photos of university / #dundeeuni
The BSc Mathematical Biology at the University of Dundee offers an innovative and interdisciplinary approach to understanding biological processes through mathematical and computational methods. Designed for students with an interest in biology, mathematics, and their applications, this programme provides a solid foundation in both biological sciences and mathematical techniques, preparing graduates for diverse careers in research, healthcare, data analysis, and biotechnology. Throughout the course, students delve into topics such as ecology, epidemiology, genetics, systems biology, and biostatistics, learning how to model complex biological systems and analyze large datasets. The programme emphasizes practical skills through laboratory experiments, computational projects, and collaborative research, equipping students with the ability to translate biological questions into quantitative frameworks.
Students will also develop proficiency in programming languages such as Python and R, enhancing their data analysis capabilities. The curriculum combines core modules in mathematics—covering calculus, statistics, and differential equations—with modules explicitly tailored to biological applications, such as population dynamics and disease modelling. The programme is delivered by expert faculty who are actively involved in cutting-edge research, providing insight into current scientific challenges and innovations. Practical laboratory classes and research projects foster hands-on experience, while opportunities for internships and collaborations with industry partners support professional development.
On completion of the degree, graduates will be well-positioned for postgraduate study or careers in academic research, healthcare analytics, biotech companies, or environmental consultancy. The University of Dundee's vibrant academic community and modern facilities create an engaging environment for learning and innovation. Students are encouraged to participate in seminars, workshops, and conferences to broaden their understanding and professional network. With a strong emphasis on analytical thinking, problem-solving, and interdisciplinary collaboration, the BSc Mathematical Biology prepares students to contribute meaningfully to scientific advances and societal challenges related to health and the environment.
Detailed Course Facts
Application deadline January 15 Tuition fee- EUR 2060 Year (EEA)
- EUR 12630 Year (Non-EEA)
Tuition fees are approximate and dependent upon currency exchange rates.
Start date September 2015 Duration full-time 48 months Languages Take an IELTS test- English
Course Content
Level 1
The Mathematics modules at Level 1 cover calculus, algebra, geometry and trigonometry. They will provide you with an introduction to university mathematics, following on from material that you will have studied at school.
Two thirds of your time is spent studying Life Science modules to give you the Biological background required.
- Maths 1A
- Maths 1B
- Biomolecular Mechanisms
- Environmental Biology
- Evolution and Biodiversity
- Genes, Heredity and Development
Level 2
Two Level 2 modules extend topics in calculus and linear algebra covered at Level 1. Another pair of Mathematics modules at Level 2 will give you an introduction to Statistics and Discrete Mathematics and, optionally, Mechanics.
The remaining modules are taken from Life Sciences.
- Mathematics 2A
- Mathematics 2B
- Statistics and Discrete Mathematics
- Mechanics (optional)
- Genetics
- Cellular and Molecular Biology
Level 3
Third year modules are designed to cover both Mathematical and Biological topics related to Mathematical Biology.
- Mathematical Methods
- Differential Equations
- Genome Science
- Molecular and Cell Biology
Two further maths modules can be chosen from:
- Analysis
- Complex Analysis
- Differential Geometry
- Fundamentals of Scientific Computing
- Graph Theory
- Operational Research
Level 4
At Level 4 you enrol for six modules in areas that relate to our research strengths, taken from Mathematics and Life Sciences. There is also an additional project work module, where you can specialise in a subject of your choosing.
- Mathematical Biology I
- Mathematical Biology II
- Ordinary Differential Equations and their Approximation
- Personal Transferable Skills and Project work
- Two advanced Biology modules
Requirements
- Minimum Requirements:
SQA Higher: ABBB
GCE A-Level: BCC
ILC Higher: ABBB
IB Diploma: 30 points with 5, 5, 5 at HL
- Essential Subjects:
Mathematics at B (Higher, A-L, ILC H, HL). Passes should also include a science (Higher, A-L, ILC H, HL) and chemistry (SG, Int2, GCSE, Ord, SL).
- Advanced Entry (to level 2):
SQA Advanced Higher: BB+BB (H) in different subjects
GCE A-Level: ABB
IB Diploma: 34 points with 6, 6, 5 at HL
- Essential Subjects:
Mathematics at B (AH, A-L, HL). Passes should also include biology (AH, A-L, HL) and chemistry (SG, Int2, GCSE, Ord, SL).
Work Experience
No work experience is required.
Want to improve your English level for admission?
Prepare for the program requirements with English Online by the British Council.
- ✔️ Flexible study schedule
- ✔️ Experienced teachers
- ✔️ Certificate upon completion
📘 Recommended for students with an IELTS level of 6.0 or below.
Related Scholarships*
- Academic Excellence Scholarship
"The Academic Excellence Scholarship can provide up to a 50 % reduction in tuition per semester. These scholarships will be renewed if the student maintains superior academic performance during each semester of their 3-year Bachelor programme. The scholarship will be directly applied to the student’s tuition fees."
- Access Bursary
Bursary for UK students all subjects where the variable tuition fee rate is payable.
- Alumni Bursary
Alumni Bursary for UK Undergraduate students
* The scholarships shown on this page are suggestions first and foremost. They could be offered by other organisations than University of Dundee.
Mathematical Biology at the University of Dundee offers a comprehensive and interdisciplinary undergraduate degree that combines the fields of mathematics, biology, and computer science to provide students with a versatile skill set applicable to various scientific and industrial sectors. This program is designed to equip students with a deep understanding of biological systems through quantitative and computational approaches, enabling them to analyze complex biological data and develop mathematical models of biological processes. The curriculum includes modules in applied mathematics, theoretical biology, biostatistics, and computer programming, fostering strong analytical and problem-solving abilities. Students also have opportunities to engage in practical research projects, often collaborating with researchers from biological sciences, medicine, and industry, which enhances their research skills and employability. The program's structure typically includes foundational courses in mathematics and biology in the early years, progressing to more specialized topics such as systems biology, computational modelling, and data analysis in later stages. Students are encouraged to develop skills in programming languages relevant to biological data analysis, such as R and Python. The university's research environment provides support and resources for students interested in areas like disease modelling, ecological systems, and evolutionary biology. Graduates of the program are well-prepared for careers in academia, healthcare, biotech industries, pharmaceuticals, and environmental consultancy. They may also pursue advanced studies, including master's and PhD programs, focusing on mathematical biology or related disciplines. The program benefits from the university's strong links with research institutions and industry partners, offering students valuable internship and networking opportunities. Overall, Mathematical Biology at the University of Dundee is an innovative program designed to produce graduates capable of applying mathematical and computational techniques to solve complex biological problems, addressing real-world challenges across various scientific fields.