| Program start date | Application deadline |
| 2023-09-01 | - |
Program Overview
Course overview
We focus on three core areas – pure mathematics, applied mathematics, and statistics – and you have the flexibility to tailor the combination of these to suit your interests.
On this degree, you will select mostly mathematics modules in the later stages. These include:
In Stage 4 you explore more advanced topics in detail, drawing on the research expertise of our staff.
You also complete a substantial research project on a topic that interests you.
BSc or MMath?
We offer our degrees at two levels:
Our four-year degrees are more in-depth and include:
Transfer between the two levels is possible up until the middle of Stage 3.
To qualify for Stages 3 and 4 of the MMath/MMathStat degree, you must normally have obtained at least an upper-second-class average mark in Stages 2 and 3.
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Your course and study experience - disclaimers and terms and conditions
Please rest assured we make all reasonable efforts to provide you with the programmes, services and facilities described. However, it may be necessary to make changes due to significant disruption, for example in response to Covid-19.
View our Academic experience page, which gives information about your Newcastle University study experience for the academic year 2022-23.
See our terms and conditions and student complaints information, which gives details of circumstances that may lead to changes to programmes, modules or University services.
Program Outline
Modules and learning
Modules
The information below is intended to provide an example of what you will study.
Most degrees are divided into stages. Each stage lasts for one academic year, and you'll complete modules totalling 120 credits by the end of each stage.
Our teaching is informed by research. Course content may change periodically to reflect developments in the discipline, the requirements of external bodies and partners, and student feedback.
Featured module
MAS1607: Multivariable Calculus and Differential Equations
Develop an understanding of ordinary differential equations and introduce the calculus of functions of several variables.
Optional module availability
Student demand for optional modules may affect availability. Full details of the modules on offer will be published through the Programme Regulations and Specifications ahead of each academic year. This usually happens in May. To find out more please see our terms and conditions.
Stage 1
Stage 2
Stage 3
Stage 4
You'll take a set of core modules. These equip you with the key skills and knowledge that all mathematicians and statisticians need and the main areas of pure mathematics, applied mathematics, algebra, probability and statistics.
There is also flexibility to choose topics from other areas of the University, for example, accounting, music, a foreign language or another science.
Modules
| Compulsory Modules | Credits |
|---|---|
| Introduction to Calculus | 20 |
| Introductory Algebra | 20 |
| Multivariable Calculus & Differential Equations | 20 |
| Introduction to Probability & R | 20 |
| Logic, Sets and Counting | 10 |
| Number Systems | 10 |
| Problem Solving with Python | 10 |
| Dynamics | 10 |
How you'll learn
How you'll be assessed
You'll take a common set of core modules. These equip you with the key skills and knowledge that all mathematicians and statisticians need and the main areas of pure mathematics, applied mathematics, algebra, probability and statistics.
Modules
| Compulsory Modules | Credits |
|---|---|
| Complex Analysis | 10 |
| Algebra | 10 |
| Vector Spaces, Groups and Algorithms | 20 |
| Fluid Dynamics | 10 |
| Vector Calculus & Differential Equations, Transforms & Waves | 20 |
| Scientific Computation with Python | 10 |
| Introduction to Bayesian methods | 10 |
| Statistical Inference & Stochastic Modelling | 20 |
| Computational Probability and Statistics with R | 10 |
How you'll learn
How you'll be assessed
You'll select from a wide range of optional modules, which are closely linked to the research expertise of our staff. This gives you freedom to specialise in areas of particular interest.
Modules
| Compulsory Modules | Credits |
|---|---|
| Group Project | 10 |
| Optional Modules | Credits |
|---|---|
| Foundations of group theory | 10 |
| Linear analysis | 10 |
| Matrix analysis | 10 |
| Topology | 10 |
| Number Theory and Cryptography | 20 |
| Graphs and symmetry | 10 |
| Representation theory | 10 |
| Curves and Surfaces | 10 |
| Quantum Mechanics | 10 |
| Advanced Fluid Dynamics | 10 |
| Relativity | 10 |
| Classical Fields | 10 |
| Instabilities | 10 |
| Variational Methods and Lagrangian Dynamics | 10 |
| Methods for Differential Equations & Partial Differential Equations & Non -Linear Waves | 20 |
| Mathematical Biology | 10 |
| Bayesian Inference | 10 |
| Stochastic FiNAcial Modelling | 10 |
| Statistical Inference | 10 |
| Big Data Analytics | 10 |
| Discrete Stochastic Modelling | 10 |
| Survival Analysis | 10 |
| Linear & Generalised Linear Models | 20 |
How you'll learn
How you'll be assessed
This year of advanced study draws heavily on our research expertise. A substantial research project accounts for a third of your time.
Modules
| Compulsory Modules | Credits |
|---|---|
| MMath Project | 40 |
| Optional Modules | Credits |
|---|---|
| Foundations of group theory | 10 |
| Linear analysis | 10 |
| Matrix analysis | 10 |
| Topology | 10 |
| Number Theory & Cryptography | 20 |
| Graphs and symmetry | 10 |
| Representation theory | 10 |
| Curves and Surfaces | 10 |
| Topics in Analysis & Functional Analysis | 30 |
| Algebraic Topology & Galois Theory | 30 |
| Relativity | 10 |
| Instabilities | 10 |
| Variational Methods and Lagrangian Dynamics | 10 |
| Geophysical & Astrophysical Fluids | 20 |
| General Relativity | 20 |
| Quantum Fluids | 20 |
| Mathematical Biology | 10 |
| Discrete Stochastic Modelling | 10 |
| Survival Analysis | 10 |
| Modern Bayesian Inference | 30 |
| Research Topics in Statistics | 30 |
How you'll learn
How you'll be assessed
Information about these graphs
We base these figures and graphs on the most up-to-date information available to us. They combine data on the planned delivery and assessments of our courses in 2021-22 with data on the modules chosen by our students in 2020-21.
Teaching time is made up of:
Teaching and assessment
Teaching methods
You'll be taught through:
Assessment methods
You'll be assessed through a combination of:
Assignments – written or fieldwork
Examinations – practical or online
Skills and experience
Business skills
Throughout your degree, you'll develop a whole range of transferable skills, for example analytical, report writing and presentation skills.
You'll have the opportunity to take part in optional industrial and business projects and placements. These opportunities are very flexible. They are arranged throughout the academic year, during the summer period or through students taking a break from academic studies.
Projects with industry prepare you well for a career both outside and within academia, learning vital new skills and gaining new experiences.
Research skills
In Stage 4 you'll work on an extended research project, developing and enhancing your research skills.
Chat to a student
We have a range of different sessions from lectures and problems classes to group meetings and computer labs, this stops uni work getting monotonous and boring.
Andrew, Mathematics student
