2:1 (or international equivalent) in mathematics or a closely related subject with substantial mathematical content.
Months of entry
Scientific computation and analysis is concerned with the design and analysis of computational algorithms. Research areas include:
- high-order finite element/discontinuous Galerkin methods
- A posteriori error analysis and adaptivity
- computational electromagnetic
- computational fluid mechanics
- numerical simulation of bifurcation problems
- computational cell biology
For a more extensive overview, please visit the course page on the University of Nottingham's online prospectus.
high-order finite element/discontinuous Galerkin methods; A posteriori error analysis and adaptivity; computational electromagnetic; computational fluid mechanics; numerical simulation of bifurcation problems; computational cell biology
Information for international students
English language requirements: IELTS 6.5 (no less than 6.0 in any element).
Fees and funding
The Graduate School at The University of Nottingham provides information on internal and external sources of postgraduate funding.
There is also funding information on the School of Mathematical Sciences web pages.
For information on funding opportunities for international students, please see the International Office website.
Qualification and course duration
Course contact details
- Postgraduate Enquiries
- +44 (0)115 951 5559