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  • DeadlineStudy Details: MSc 1 year full-time

Masters Degree Description

The Mathematics MSc offers specialised modules in modern pure and applied mathematics that prepares you for a highly skilled mathematical profession or to continue your studies at PhD level.

The programme introduces you to cutting-edge ideas in the areas of Number Theory, Algebra, Geometry and Topology, Pure and Applied Analysis, Combinatorics, Fluid Mechanics, Mathematical Physics, Mathematical Modelling in Industry and Society, Mathematical Biology, Numerical Analysis and Scientific Computing and Applied Probability.

Who this course is for

The Mathematics MSc is aimed at students with a strong background in mathematics who wish to continue their studies at postgraduate level. Applications from students looking to pursue our Mathematical Physics stream whose qualifications are in physics will also be welcomed and considered on individual merit.

Entry Requirements

To be confirmed

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Fees

For fees and funding options, please visit website to find out more

Programme Funding

UCL offers a range of financial awards aimed at assisting both prospective and current students with their studies.

Student Destinations

The skills acquired from this programme are highly transferable to careers spanning a wide range of sectors including Business, Finance, Information Technology, Engineering, Media, Policy and Government. UCL Mathematics students move on to graduate-level work in exciting institutions like Twentyfour Asset Management, Centrus Financial Advisors, Swissbank, Bank of America-Merrill Lynch, Deloitte, KPMG, IBM, the Office for National Statistics, the Building Research Establishment and the European Centre for Medium-Range Weather-Forecasting.(Graduate Outcomes Survey carried out by the Higher Education Statistics Agency (HESA), looking at the destinations of UK and EU graduates in the 2017 - 2022 cohorts.)

Many of our graduates continue their studies at PhD level at UCL or prestigious universities like Princeton, Stanford, NYU, University of Michigan Ann Arbor, UCLA, Cambridge, Oxford, Warwick, Imperial, Edinburgh, ETH and EPFL.

Module Details

Compulsory modules

  • MSc Mathematics Dissertation
  • Research Essay

Optional modules

  • Modular Forms
  • Elliptic Curves
  • Manifolds
  • Riemann Surfaces
  • Representation Theory
  • Spectral Theory
  • Prime Numbers and their Distribution
  • Frontiers in Computational Mathematics
  • Probabilistic Method in Combinatorics
  • Functional Analysis
  • Algebraic Topology
  • Biomathematics
  • Combinatorial Optimisation
  • Mathematical Ecology
  • Further Topics in Algebraic Number Theory
  • Advanced Modelling Mathematical Techniques
  • Probability
  • Lie Groups and Lie Algebras
  • Algebraic Geometry
  • Evolutionary Games and Population Genetics
  • Computational and Simulation Methods
  • Quantitative and Computational Finance
  • Variational Methods for Partial Differential Equations
  • Mathematics for Machine Learning and Artificial Intelligence
  • Solid Mechanics
  • Mathematics for Quantum Mechanics
  • Dynamical Systems
  • Complex Function Theory

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