MSc Business Analytics
The MSc Business Analytics program is a postgraduate degree that focuses on the applica...
Streatham Campus
INTAKE: September
The MSc Mathematical Modelling (Biology and Medicine) program at the University of Exeter is a distinguished offering designed to equip students with advanced mathematical and computational skills to address complex challenges in the fields of biology and medicine. This program underscores the university's commitment to delivering cutting-edge education that bridges mathematics and life sciences for real-world applications.
Mathematical Modelling Specialization: The program focuses on mathematical modelling techniques applicable to biological and medical systems, providing insights into processes at molecular, cellular, and organismal levels.
Advanced Mathematical Techniques: Students engage in advanced mathematical methods, learning to create and analyze mathematical models that elucidate biological and medical phenomena.
Biological and Medical Applications: The program often explores the application of mathematical modelling in understanding diseases, population dynamics, drug interactions, and other healthcare-related scenarios.
Computational Simulation: Students gain expertise in computational simulation, using software tools to simulate and visualize mathematical models in biology and medicine.
Research Projects: The program typically includes research projects, allowing students to work on real-world problems under the guidance of experienced faculty members.
Streatham Campus
IELTS 6.5
£ 23000
Postgraduate Entry Requirements:
Academic Qualifications: International students applying for postgraduate programs at the University of Exeter are typically required to have completed a bachelor's degree or equivalent with a minimum overall score of 55% or above. The specific requirements may vary depending on the chosen program and country-specific grading systems.
English Language Proficiency:
IELTS: The minimum requirement is typically an overall score of 6.5, with no less than 6.0 in each component.
TOEFL: The minimum requirement is typically a score of 90 on the internet-based test (iBT), with no less than 20 in each component.
PTE: The minimum requirement is typically a score of 62, with no less than 62 in each component.
Students must provide:
Work experience: Some postgraduate courses may require relevant work experience in the field.
It is important to note that meeting the minimum entry requirements does not guarantee admission, as the university considers factors such as availability of places and competition for the program. Additionally, some courses may have higher entry requirements or additional selection criteria, such as interviews or portfolio submissions.
The University of Exeter offers a range of scholarships and financial support options to international students. These scholarships aim to recognize academic excellence, support talented individuals, and promote diversity and inclusivity.
It is important to note that the availability and criteria for scholarships may vary from year to year.
Graduates of the MSc Mathematical Modelling (Biology and Medicine) program are well-prepared for diverse career opportunities in research institutions, pharmaceutical companies, biotechnology firms, healthcare organizations, and more. The program equips students with specialized skills that are highly valued in the fields of mathematical biology, medical research, and computational analysis.
Biostatistician: Graduates can work as biostatisticians, analyzing biological and medical data to draw meaningful insights and inform decision-making.
Research Scientist: With expertise in mathematical modelling, graduates can pursue research roles in academia and industry, contributing to advancements in biological and medical sciences.
Healthcare Analyst: Graduates can engage in roles analyzing healthcare data, helping organizations optimize processes and improve patient outcomes through data-driven insights.
Pharmaceutical Researcher: Graduates can work in pharmaceutical research, using mathematical models to study drug interactions, optimize dosages, and predict therapeutic outcomes.
Academic Educator: Graduates can pursue academic roles, teaching mathematical modelling techniques to students and contributing to the advancement of the field.