Skip to main content
Mathematical Institute Course Management BETA
Main menu
Log In
Home
Postgraduate Courses
Undergraduate Courses
Upcoming Courses
Archived Courses
You are here
Home
Postgraduate Courses
Mathematical and Theoretical Physics
MSc in Mathematical Modelling and Scientific Computing
MSc in Mathematics and Foundations of Computer Science
MSc in Mathematical and Computational Finance
MSc in Mathematical Finance (28m)
Industrially Focused Mathematical Modelling
PDE CDT Programme
Mathematical and Theoretical Physics
Michaelmas
Quantum Field Theory
Groups and Representations
Topological Quantum Theory
Radiative Processes and High Energy Astrophysics
An Introduction to LaTeX
Nonequilibrium Statistical Physics
Hilary
String Theory I
An Introduction to LaTeX
Cosmology
Astrophysical Gas Dynamics
Non-perturbative Methods in Quantum Field Theory
Soft Matter Physics
Quantum Matter: Superconductors, Superfluids, and Fermi Liquids
Galactic and Planetary Dynamics
Nonequilibrium Statistical Physics
Trinity
String Theory II
Conformal Field Theory
Astrophysical Gas Dynamics
Non-perturbative Methods in Quantum Field Theory
Soft Matter Physics
Introduction to Gauge-String Duality
Topics in Soft and Active Matter Physics
Astroparticle Physics
Beyond the Standard Model
Quantum Field Theory in Curved Space-Time
The Standard Model
Topics in Quantum Condensed Matter Physics
Dissertation
MSc in Mathematical Modelling and Scientific Computing
Michaelmas
B5.2 Applied Partial Differential Equations
Supplementary Applied Mathematics
B6.1 Numerical Solution of Differential Equations I
C6.1 Numerical Linear Algebra
Mathematical Modelling
Practical Numerical Analysis
Additional Skills
C6.3 Approximation of Functions
B5.5 Further Mathematical Biology
B6.3 Integer Programming
C5.11 Mathematical Geoscience
C5.12 Mathematical Physiology
C5.5 Perturbation Methods
C5.1 Solid Mechanics
C5.3 Statistical Mechanics
C8.1 Stochastic Differential Equations
C5.7 Topics in Fluid Mechanics
B5.3 Viscous Flow
Hilary
B5.6 Nonlinear Systems
Further Partial Differential Equations
Further Mathematical Methods
C6.2 Continuous Optimisation
Case Studies in Mathematical Modelling
Case Studies in Scientific Computing
C5.6 Applied Complex Variables
C3.9 Computational Algebraic Topology
Spec02: Continuum Models in Industry
C5.2 Elasticity and Plasticity
C6.4 Finite Element Method for PDEs
Spec04: Mathematical Analytics
C5.9 Mathematical Mechanical Biology
B8.3 Mathematical Models of Financial Derivatives
Spec01: Maths for Energy
C5.4 Networks
B6.2 Numerical Solution of Differential Equations II
B5.1 Stochastic Modelling of Biological Processes
B5.4 Waves and Compressible Flow
Trinity
Algorithmic Differentiation
C++ for Scientific Computing
Python in Scientific Computing
MMSC Dissertations
MSc in Mathematics and Foundations of Computer Science
Michaelmas
C3.1 Algebraic Topology
C3.8 Analytic Number Theory
C1.3 Analytic Topology
B2.1 Introduction to Representation Theory
C2.1 Lie Algebras
C1.1 Model Theory
B3.5 Topology and Groups
C3.4 Algebraic Geometry
C2.2 Homological Algebra
SB3a Applied Probability
Categories, Proofs and Processes
B8.4 Communication Theory
Computer Aided Formal Verification
Foundations of Computer Science
B8.5 Graph Theory
Introduction to Cryptography
Quantum Computer Science
Automata, Logic and Games
C8.3 Combinatorics
Computational Game Theory
An Introduction to LaTeX
Hilary
B3.4 Algebraic Number Theory
B2.2 Commutative Algebra
C1.2 Godel's Incompleteness Theorem
Lambda Calculus and Types
C3.6 Modular Forms
C1.4 Axiomatic Set Theory
C2.4 Infinite Groups
C2.6 Introduction to Schemes
C2.5 Non-Commutative Rings
C3.2 Geometric Group Theory
C2.3 Representation Theory of Semisimple Lie Algebras
Advanced Machine Learning
Concurrency
Advanced Cryptology
Categorical Quantum Mechanics
C3.9 Computational Algebraic Topology
Distributional Models of Meaning
C3.7 Elliptic Curves
C5.4 Networks
C8.4 Probabilistic Combinatorics
Probability and Computing
An Introduction to LaTeX
Analysing Logics using Tree Automata
Trinity
MFoCS Dissertations
Computational Number Theory
MSc in Mathematical and Computational Finance
Michaelmas
Introduction to Partial Differential Equations
Introduction to Probability
Introduction to Matlab
Introduction to Statistics and R
Numerical Methods (Monte Carlo)
Numerical Methods: Finite Differences
Stochastic Calculus
Financial Derivatives
Statistics and Financial Data Analysis
Financial Computing with C++ Part I
An Introduction to LaTeX
Hilary
Numerical Methods (Monte Carlo)
Numerical Methods: Finite Differences
Exotic Derivatives
Stochastic Volatility
Commodities
Fixed Income Markets
Asset Pricing and Inefficiency of Markets
Market Microstructure and Trading
Algorithmic Trading
Advanced Financial Data Analysis
Machine Learning
Calibration
Optimisation
Introduction to Stochastic Control
An Introduction to LaTeX
Trinity
Financial Computing with C++ II
Dissertation
Quantitative Risk Management (Full time)
MSc in Mathematical Finance (28m)
Michaelmas
Module 5: Advanced Modelling Topics 1
Module 6: Advanced Numerical Methods
MSc in Mathematical Finance Dissertation
Hilary
Module 1: Mathematical and Technical Prerequisites
Module 2: Black Scholes Theory
Module 3: Extensions of the Black Scholes Theory
Module 7: Advanced Modelling Topics 2
Module 8: Quantitative Risk Management
MSc in Mathematical Finance Dissertation
Trinity
Module 4: Exotic Options and Advanced Modelling Techniques
MSc in Mathematical Finance Dissertation
Industrially Focused Mathematical Modelling
Michaelmas
Core01: Mathematical Modelling
Core02: Scientific Computing
Core03: Modelling, analysis and computation of continuous real world problems
Core04: Modelling, analysis and computation of discrete real world problems
Hilary
Spec01: Maths for Energy
Spec02: Continuum Models in Industry
Spec03: Contemporary Numerical Techniques
Spec04: Mathematical Analytics
ModCase: Modelling Case Studies
SciCase: Scientific Computing Case Studies
PDE CDT Programme
Hilary
Analysis of PDEs - (Parobolic PDEs)
Nonlinear Analysis and Applications
Stochastic Analysis & PDEs
Geometric Analysis of PDEs
Scientific Computing & Numerical Analysis of PDEs
Mathematical Theories of Liquid Crystals
Trinity
Nonlinear Analysis & Applications - Reading Course
Stochastic Analysis and PDEs - Reading Course
Geometric Analysis and PDEs - Reading Course
Scientific Computing and Numerical Analysis of PDEs - Reading Course
