Research course

Scientific Computation

Institution
University of Nottingham · School of Mathematical Sciences
Qualifications
PhD

Entry requirements

2:1 (or international equivalent) in mathematics or a closely related subject with substantial mathematical content.

Months of entry

September

Course content

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.

Department specialisms

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

PhD

full time
36-48 months

Course contact details

Name
Professor Michael Tretyakov
Email
maths-pg-admissions@nottingham.ac.uk
Phone
+44 (0)115 951 4954