Academic and student giving a Mathematics seminar. May 2019 by Simon Litherland.

Mathematics MMath

University Park Campus, Nottingham, UK

Course overview

Are you curious about how advanced techniques in mathematical modelling are used? Do you want to learn about insights from the latest mathematical research?

During this MMath you will cover these topics, learning from dedicated mathematicians. Our degree gives you the chance to learn more about the exciting research our academics are working on, whilst giving you the knowledge and skills to carry out your own research. You'll develop your skills in problem solving and analysis. At the same time, the course will enable you to enhance and develop your transferable skills in project work, group study and presentations.

 

Indicative modules

Mandatory

Year 1

Algebra

Mandatory

Year 1

Applied Mathematics

Mandatory

Year 1

Core Mathematics

Mandatory

Year 1

Probability and Statistics 1

Mandatory

Year 2

Complex Analysis

Mandatory

Year 2

Real analysis

Optional

Year 2

Algebra and Number Theory

Optional

Year 2

Classical and Quantum Mechanics

Optional

Year 2

Methods for Differential Equations

Optional

Year 2

Markov Chains

Optional

Year 2

Methods for Probability and Statistics

Optional

Year 2

Scientific Computation

Optional

Year 2

Linear Models

Optional

Year 2

Vector Calculus and Electromagnetism

Mandatory

Year 3

Mathematics Group Projects

Optional

Year 3

Advanced Quantum Theory

Optional

Year 3

Applied Statistical Modelling

Optional

Year 3

Coding and Cryptography

Optional

Year 3

Communicating Mathematics

Optional

Year 3

Discrete Mathematics and Graph Theory

Optional

Year 3

Electromagnetism

Optional

Year 3

Fluid Dynamics

Optional

Year 3

Game Theory

Optional

Year 3

Mathematical Finance

Optional

Year 3

Mathematical Medicine and Biology

Optional

Year 3

Multivariate Analysis

Optional

Year 3

Optimisation

Optional

Year 3

Relativity

Optional

Year 3

Scientific Computation and Numerical Analysis

Optional

Year 3

Statistical Inference

Optional

Year 3

Stochastic Models

Mandatory

Year 4

Mathematics Dissertation

Optional

Year 4

Advanced Financial Mathematics

Optional

Year 4

Techniques for Differential Equations

Optional

Year 4

Algebraic Number Theory

Optional

Year 4

Black Holes

Optional

Year 4

Combinational Group Theory

Optional

Year 4

Computational Applied Mathematics

Optional

Year 4

Differential Geometry

Optional

Year 4

Financial Mathematics

Optional

Year 4

Introduction to Quantum Information Science

Optional

Year 4

Machine Learning and Inference for Differential Equations

Optional

Year 4

Quantum Field Theory

Optional

Year 4

Scientific Computing and C++

Optional

Year 4

Statistical Machine Learning

Optional

Year 4

Time Series and Forecasting

Optional

Year 4

Topics in Biomedical Mathematics

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About modules

The above is a sample of the typical modules we offer, but is not intended to be construed or relied on as a definitive list of what might be available in any given year. This content was last updated on Thursday 9 January 2025. Due to timetabling availability, there may be restrictions on some module combinations.

I am currently on the Data Graduate scheme at Eurostar. I am working with the engineering teams on looking at what can be done with the fault data we have on the trains. I am looking at how we can model how many customers are affected by a particular fault.

Sarah Wardle

MMath Mathematics, graduated 2019

Course data

Open Day June 2022