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PhD / MPhil Mathematics and Statistics - Numerical Analysis and Scientific Computing

University of Strathclyde

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University of Strathclyde

Course options

  • Qualification

    PhD/DPhil - Doctor of Philosophy

  • Location

    John Anderson Campus

  • Study mode

    Full time

  • Start date

    13-OCT-25

  • Duration

    3 Years

Course summary

Research opportunities

You can study for an MPhil or MRes over one year, or a PhD over the course of three years.

MPhil & PhD

There are postgraduate research opportunities in all our research groups:

Applied Analysis

Continuum Mechanics & Industrial Mathematics

Numerical Analysis and Scientific Computing

Health & Ecology Modelling

Stochastic Analysis

Our research

Mathematics and statistics are at the heart of all scientific and engineering disciplines, and we have a strong international reputation in the use of modelling and analysis to solve many problems relevant to industry, business and wider society.

We work with researchers in other universities, from other disciplines and from industry, business and government sectors, across the UK, Europe, China and the USA.

Tuition fees

Students living in United States
(International fees)

£ 21,000per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

University image

University of Strathclyde

University of Strathclyde

  • University League Table

    32nd

  • Campus address

    University of Strathclyde, McCance Building, 16 Richmond Street, Glasgow, Glasgow, City Of, G1 1XQ, Scotland

VIEW PROFILE
Welcoming almost 23,000 students from over 140 countries, Strathclyde offers a supportive and vibrant university experience for students of all backgrounds.
Strathclyde offers numerous scholarships and funding opportunities to support students in their studies.
It's home to an International Study Centre offering international students the option to complete pre-master's programmes.

Subject rankings

  • Subject ranking

    Computer Science

    28th out of 117 2

    26th out of 65 4

  • Entry standards

    / Max 227
    204 90%

    8th

  • Graduate prospects

    / Max 100
    88.0 88%

    33rd

    2

  • Student satisfaction

    / Max 4
    3.14 78%

    19th

    20

  • Entry standards

    / Max 234
    214 92%

    7th

  • Graduate prospects

    / Max 100
    85.0 85%

    17th

    6

  • Student satisfaction

    / Max 4
    3.06 76%

    43rd

    17

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