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Master of Science in Mathematics (by Research)

University of Buckingham University of Buckingham, UK

Intake Sep 2023

Jan 2023, Sep 2022

work permit PG Work Permit

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GBP 14390

Tuition Fee (GBP)

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Application Fee

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12 months


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Program Overview

This programme aims to engage energetic and motivated Mathematics students in innovative research in pure Mathematics and its application in Computer Science. The programme is suitable for students with a solid background in Mathematics or in a closely related discipline. This programme, in particular, is a stepping stone for students to join research institutes and universities as PhD students and researchers.

Some of our research projects will seek new directions towards neural networks and AI, and potentially towards industrial application. The significance of interdisciplinary research is emphasised in the UK’s Research and Development Roadmap, which includes innovative proposals for interactions between mathematical sciences, biomedical research, and the Computing industry.

The main research areas of interest include, but are not limited to:

  • Model theory is a branch of mathematical logic, and its applications in a wide range of subjects such as algebra, topological dynamics, combinatorics, and theoretical Computer Science. Specifically, the projects are focused on Fraïssé construction method, automorphism groups of countable homogeneous structures, structural Ramsey theory, asymptotic classes, ultraproducts, and infinite constraint satisfaction problems in theoretical Computer Science. Research proposals in a wider range of areas in mathematical logic, philosophy of Mathematics, pure Mathematics and theoretical Computer Science are also welcome. These include research areas such as formal methods, type theory, set theory, higher-order logics and fuzzy logics.
  • Applied Computational Topology and Geometry is a relatively recent and fast-growing field of mathematics that emerged from applying well-established theories in algebraic topology and geometry. Specific projects focus on applications of data-driven Machine Learning and Artificial Intelligence in the fields of computer vision, medical diagnostics, and multimedia security for image tampering and fake videos. These applications employ Topological Data Analysis (TDA) and its growing list of tools (Persistent Homology, Mapper, etc.) to infer relevant (topological) class discriminating features from high dimensional and complex data. Other projects involve the use of TDA for interpreting Deep Learning (DL) decisions and dealing with the problem of overfitting of DL models.

Throughout the project, students will interact and be encouraged to work with other researchers at the University of Buckingham and other leading research universities in the UK. The students will be part of research networks such as BPGMTC, SEEMOD, MODNET and Data Science groups.

Additional Information

Program Level Master's Degree

College/University Processing Time 30

Program Intensity Full-Time

Work Permit work permit PGWP

General Admission Requirement

    Academic Requirement

    • Minimum Level of Education Required: To be accepted for this program, students must have a Bachelor's degree.

    6.5 IELTS Score With no band less than 5.5
    87 TOEFL Score Minimum Overall Score
    59 PTE Score Minimum Overall Score
    50% CGPA Minimum Overall Score

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    Tuition Fee

    The values given below are estimated figures, excluding extra charges like material fee, student activity fees, athletic fees, health care, etc., for courses. To know more, please visit the Programs page.

    Average Tuition Fee Per Year


    Tuition Fee


    Application Fee

    11000 Per year

    Average Cost of Living

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    The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

    Check program website for more information about funding options.


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