PhD Numerical Analysis at University of Manchester

Programme overview

Build the algorithms that make complex problems solvable. Numerical analysis research develops computational algorithms and scientific computing methods to solve mathematical problems that cannot be solved analytically. As a postgraduate researcher in this Department of Mathematics research theme, you'll work on projects such as the efficient solution of elliptic and parabolic partial differential equations with random data, supported by the Manchester Centre for Nonlinear Dynamics laboratories.

Faculty: Faculty of Science and Engineering | Department: Department of Mathematics | Duration: 3–4 Years FT or equivalent PT study | Study mode: full-time / part-time | Intake: September 2027 | Location: Manchester, England, United Kingdom

What you will study

The Department of Mathematics has an outstanding research reputation. The research facilities include one of the finest libraries in the country, the John Rylands University Library.

Official programme page

Application information

Entry requirements

The standard academic entry requirement for this PhD is an upper second-class (2:1) honours degree in a discipline directly relevant to the PhD (or international equivalent) OR any upper-second class (2:1) honours degree and a Master’s degree at merit in a discipline directly relevant to the PhD (or international equivalent). Other combinations of qualifications and research or work experience may also be considered. English language: IELTS 6.5 overall with a minimum of 6 in writing and listening, and 5.5. in all other sub-tests. Interview: An interview is required for entry to this programme of study.

Domestic applicants: GBP 8,100 a year (2027/28). PhD (full-time); Band B fee band Source

International applicants: GBP 31,400 a year (2027/28). PhD (full-time); Band A fee band Source

Intake: September 2027

Duration: 3–4 Years FT or equivalent PT study

Apply through the official page: https://www.se.manchester.ac.uk/study/postgraduate-research/getting-started/applying/

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