Teaching and assessment for Mathematics MMath (Hons)

Teaching

You will learn by methods such as:

lectures
tutorials
workshops
computer assisted learning

We also teach the use of professional mathematical software packages in order to allow you to explore mathematics far beyond the limits of traditional teaching. This also prepares you for the way in which mathematicians work across various industries.

Assessment

Our assessment methods include:

examination
continuous assessment
homework
computer assignments
class tests
projects

Modules

The list of optional modules on this page is focused on one subject however at Levels 1 and 2 you are able to choose from over 200 modules across subjects including Engineering, Computing, History, Biology, English, and more.

Your adviser of studies will let you know the full list of options and help you choose.

Core Modules

These modules are an essential part of your course.

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Module code: MA11001 Credits: 20 Semester: Semester 1

Mathematics 1A full module details

Module code: MA12003 Credits: 20 Semester: Semester 2

This module introduces you to statistics and probability. Statistics is the science of collecting, analysing, and interpreting data, and is used to draw conclusions from data. Probability is the study of chance and randomness which can be used to predict the likelihood of an event occurring.

Statistics and Probability full module details

Optional Modules

You need to choose one or more of these modules as part of your course.

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Module code: EG11006 Credits: 10 Semester: Semester 1

Electromagnetism and Circuits full module details

Core Modules

These modules are an essential part of your course.

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Module code: MA21001 Credits: 20 Semester: Semester 1

Mathematics 2A full module details

Optional Modules

You need to choose one or more of these modules as part of your course.

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Module code: MA21003 Credits: 20 Semester: Semester 2

Discrete mathematics involves the study of structures that are either finite or have a form like the set of whole numbers.

This module introduces several areas of discrete mathematics. including difference equations, game theory, and combinatorics.

Discrete Mathematics full module details

Core Modules

These modules are an essential part of your course.

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Module code: MA31002 Credits: 15 Semester: Semester 1

Differential Equations full module details

Module code: MA31007 Credits: 15 Semester: Semester 1

This module explores vector calculus, which is an area of mathematics that combines 3D geometry with calculus. Vector calculus is concerned with differentiation and integration of functions in 3D space. It can apply to either scalar-valued functions or vector-valued functions.

Vector Calculus full module details

Module code: MA32001 Credits: 15 Semester: Semester 1

This module examines analysis, which is an area of pure mathematics forming the foundation for other areas of maths. The concept of convergence is also covered, which forms part of the framework used by computers to solve complicated equations for mathematical models in physics, biology, and economics.

Analysis full module details

Module code: MA32005 Credits: 15 Semester: Semester 2

Scientific computing offers tools, techniques, and theories that enable computer-assisted solutions to complex problems.

This introductory module explores numerical linear algebra and how computations work in practice. You will use MATLAB to develop algorithms for the numerical solution of important scientific problems.

Fundamentals of Scientific Computing full module details

Optional Modules

You need to choose one or more of these modules as part of your course.

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Module code: MA33001 Credits: 10 Semester: Runs during the summer

Mathematics Work Placement full module details

Core Modules

These modules are an essential part of your course.

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Module code: MA40001 Credits: 30 Semester: Both Semester 1 and 2

PTS and Project Work full module details

Optional Modules

You need to choose one or more of these modules as part of your course.

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Module code: MA41003 Credits: 15 Semester: Semester 1

This module explores calculus, specifically to find derivatives of functions. Ordinary Differential Equations (ODEs) are equations involving derivative terms.

Very few ODEs can be solved exactly, so methods have been developed to find approximate solutions. In this module, you will learn the basic numerical methods for calculating these approximate solutions.

Ordinary Differential Equations and the Approximation full module details