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Nottingham University

University of Nottingham
School of Mathematical Sciences

About the programmes

The new MSc course in Mathematical Medicine and Biology will provide students with skills suitable for research careers in this exciting and growing field. Students will take core modules in biology and physiology, and the application of mathematics to medicine and biology. More advanced modules will introduce research topics in biomedical mathematics, including options in Computational Biology and Theoretical Neuroscience. The taught training programme will be followed by a substantial individual project leading to a dissertation. Throughout the course the exceptional strength of Nottingham’s Centre for Mathematical Medicine and Biology will facilitate students’ hands-on experience of interdisciplinary biomedical research. Topics studied may include cancer modelling, blood flow, neuroscience and tissue engineering. Students should have a mathematical background but no prior biological knowledge is assumed.

The MSc course in Statistics, currently in its second year, offers a modern advanced curriculum in statistics that enables students to broaden and deepen their understanding of the subject and its applications. The programme is suitable for a professional career in statistics or as a solid basis for research in statistics. All students take core modules covering the fundamentals of statistics. Optional topics typically include generalised linear models, Markov Chain Monte Carlo, multivariate analysis, spatial statistics, time series and forecasting, multilevel models, stochastic finance, and shape and image analysis. The course consists of two semesters of taught modules followed by a major dissertation on a project chosen by the student.

The new suite of courses in Scientific Computation offer a solid grounding in advanced scientific computation which will prepare students for either a career in industry or research in an area where computational techniques play a significant role. Scientific computing is a new and growing multidisciplinary field, concerned with harnessing the power of modern computers to carry out calculations relevant to science and engineering. Applications include the design of cars, aeroplanes, drugs and financial products, and environmental issues, such as weather forecasting and long-term predictions of the effects of global warming. All seven MSc degree courses are centred around a common 60 credit teaching core which includes the modules: Variational Methods, Computational Linear Algebra, and Algorithm Design and Operational Research. Optional topics can be selected from the general areas of Industrial Mathematics, Mathematical Medicine and Biology, Computational Fluid Dynamics, Solids and Structures, and Electromagnetics. In addition to the taught courses, students will undertake a 3 month summer project. The course is taught by experts in the field from the School of Mathematical Sciences and from other Schools, including Computer Science and Engineering.

The School of Mathematical Sciences

The School of Mathematical Sciences is a large and thriving centre with high standards in both undergraduate education and post-graduate research. External reviews rank us among the top places in the UK to study mathematics. In the most recent Quality Assurance Agency Subject Review (2004/05), the School of Mathematical Sciences scored 23 out of 24, while in the 2001 Research Assessment Exercise, the School earned grade 5 ratings for Pure Mathematics, Applied Mathematics and Statistics. The School is one of the largest in the UK, with over 50 full-time academic staff. Undergraduate courses are offered in Mathematics and in Mathematics combined with other subjects including Computer Science, Economics, Philosophy or Chinese Studies. The School currently has over 70 postgraduate research students and is currently committed to expanding its portfolio of taught postgraduate (MSc) courses.

The University of Nottingham

Two recent international league tables put The University of Nottingham in the Top 10 of the best in Britain, and in the Top 100 worldwide. In the past three years two of its academics have won Nobel Prizes. The University of Nottingham is Britain's 'University of the Year' 2006/07. The judges of this prestigious 'Times Higher Award' recognised Nottingham's achievements in opening campuses in Malaysia and China, and its outstanding performance in international higher education in 2006. The University has also made significant investment in its UK campuses, and research awards have reached record levels. Nottingham is one of the most popular choices for UK and international applicants, featuring in the top 5 for volume of applications, and it offers a student experience of the highest quality.


Address Information:

Address University Park, Nottingham NG7 2RD, UK
Tel. No. +44 (0) 115 951 4949
Fax No. +44 (0) 115 951 4951
E-mail address
Course MSc in Mathematical Medicine and Biology
MSc in Statistics
MSc in Statistics and Applied Probability
MSc in Scientific Computation
MSc in Scientific Computation with Electromagnetics
MSc in Scientific Computation with Industrial Mathematics
MSc in Scientific Computation with Mathematical Medicine and Biology
MSc in Scientific Computation with Computational Fluid Dynamics
MSc in Scientific Computation with Solids and Structures
MSc in Scientific Computation with Finance
Type of courses Full-time
Length of programmes 1 year
Date of commencement September
Class size Less than 15 for most courses
Accommodation University accommodation guaranteed for overseas students
Fees Home students: £3240
Overseas students £9600.
Student grants/
Financial Assistance
For overseas students, there are 2 scholarships of 25% of the fees for each course.
For UK or EU students on the Mathematical Medicine and Biology course there are 3 full studentships available.
Admission requirements Good honours degree (second class or above) in mathematics or related subject with substantial mathematical content.
English language: IELTS 6.0
Course directors Mathematical Medicine and Biology: Markus Owen
Statistics: Neil Butler
Scientific Computation: Andrew Cliffe
Top recruiters of our graduates Financial and management sector (KPMG, Price Waterhouse Coopers, Ernst & Young, etc)

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