Curious about studying MSc in Mathematical Biology, Ecology and Medicineat Heriot-Watt University? We've gathered all the key details—entry requirements, modules, fees, and more. Hear from real students by checking out reviews, or take the next step by booking an open day to explore it for yourself.
MSc - Master of Science
Heriot Watt University - Edinburgh Campus
Full Time
Sep 2027
1 Year
At the forefront of mathematical biology research, Heriot-Watt University boasts distinguished researchers, including Jonathan Sherratt, Mariya Ptashnyk, Damian Clancy, Andy White and Kevin Painter, pushing boundaries in this challenging field.Our postgraduate programme in Mathematical Biology, Ecology and Medicine provides comprehensive training in mathematical analysis and modelling techniques to address complex challenges in the life sciences. On this programme you will engage with high-level courses designed by experts to offer the latest knowledge and skills to analyse biological systems through mathematical and data-driven methods.The highlight of the programme is a summer research project tackling cutting-edge topics aligned with our expertise in areas such as,wound healingpattern formationepidemicscancer researchsemi-arid ecosystemsWith MSc Mathematical Biology, Ecology and Medicine you'll excel in an exceptional learning environment:Innovation Hubs: As a student, you'll have access to data-driven innovation hubs like the GRID, home of the HW Maths Gym .The GRID offers exceptional opportunities to engage with fellow students and academicsDepartmental Expertise: Heriot-Watt's Department of Mathematics has been a pioneer in applied mathematics for over four decades. Our programmes will sharpen your mathematical skills and teach to real-world challenges, including those in sustainable finance.Research Excellence: In the recent Research Excellence Framework (REF2021), we ranked first in Scotland for Mathematical Sciences research. This underscores our commitment to excellence in applied mathematics fields like optimization, computation, statistics, and analysis that drive innovation across industries.