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The award
MMath (Hons)

How long you will study
4 years

Domestic course fees
find out

How you will study
full-time

Course starts
September

International course fees
find out

All study options

About Mathematics at The School of Science and Technology, Nottingham Trent University

If you have a passion for Mathematics and would like to explore this subject in-depth, then you should consider this Mathematics degree. You'll benefit from undergraduate Masters-level content that will equip you with analytical problem-solving skills and other transferable skills that are valued by a wide range of industries.

Throughout your course you'll study in an informal, supportive environment, and you'll work closely with the School's Mathematics-related research groups, Applied Mathematics, and Statistical Modelling. And you'll be pleased to know that our courses have consistently scored highly in the National Student Survey.

All of our undergraduate courses are accredited by the Institute of Mathematics and its Applications, which is our guarantee that this course is current and relevant to the needs of business. Our close links with industry means that, if you wish, you'll have the opportunity to take up job placements with some of the world's leading companies. Plus, you'll acquire specialist skills and knowledge to prepare you for further study and research if that is where your interest lies.

Research scholarships

Every year we offer a small number of Mathematics Undergraduate Research Scholarships (MURS), giving successful applicants funding for a 6-8 week placement in one of our research teams. This is a great opportunity for you to further your research interests and contribute to the academic activities of the mathematics department.

More student opportunities

Our students have recently formed a Mathematics Society, and you'll have the opportunity to take part in regular events hosted on campus by the local branch of the Institute of Mathematics and its Applications.

What you'll study

There are approximately 120 places available across our Mathematics cluster of courses. Should your aspirations change during the course, you can opt to graduate after just three years with a BSc (Hons) degree. Our other courses include:

  • BSc (Hons) Computer Science and Mathematics
  • BSc (Hons) Mathematics
  • BSc (Hons) Financial Mathematics
  • BSc (Hons) Sport Science and Mathematics.

Who will teach me?

  • Dr David Chappell (FHEA) is an applied mathematician, with interests in fluid and wave problems arising in engineering and industry.
  • Professor Nadia Chuzhanova uses mathematical, statistical and computational approaches to uncover the architectural flaws in the human genome that lead to genomic disorders.
  • Dr Jonathan Crofts (FHEA) has research interests in the areas of network science and dynamical systems, and in particular their applications to biology.
  • Dr Tim Hetherington (FHEA) is interested in graph theory, and acts as the University Coordinator for the British Combinatorial Committee.
  • Dr Martin Nelson is an applied mathematician, whose work has applications including the modelling of gastrointestinal cancer and carbon capture and storage.
  • Dr Golnaz Shahtahmassebi (FHEA) specialises in the effective analysis and visualisation of data (with application to life sciences including medicine, sport, and physics) using statistical, mathematical, and computational techniques.
  • Dr Colin Wilmott is interested in open quantum systems and the physics of information. Colin is a former recipient of three European research fellowships.

Meet the rest of the team

Visit our academic team pages to find out more about our approach to teaching, our partners and research interests.

  • Year One

    Mathematical Methods

    This module aims to consolidate and extend your previous knowledge of calculus and linear algebra, with emphasis on the underlying intuition of the techniques.

    Data Analysis

    Gain an introduction to important statistical ideas and their application using modern software. You will explore data analysis, probability, statistical inference and statistical modelling.

    Introduction to Numerical Methods

    Learn about important numerical methods for solving mathematical problems and develop computational skills using specialist mathematical software packages.

    Introduction to Abstract Algebra

    You will be introduced to the world of rigorous mathematics, as well as the theory to help you learn about the most important algebraic structures; groups and vector spaces.

    Vector Algebra and Calculus

    Gain a basic knowledge of vector algebra and vector calculus and learn how to apply these techniques to physical situations.

    Foundations and Investigations in Mathematics

    Develop a range of skills appropriate to conducting open-ended mathematical investigations. Learn about the importance of rigour and techniques of proof in mathematical contexts.

  • Year Two

    Differential Equations and Transform Methods

    Extend your knowledge of calculus, differential equations and linear algebra, and gain an introduction to difference equations, the eigen problem and transform methods.

    Probability and Statistical Inference

    Refine your knowledge of statistical inference and statistical modelling and further develop essential computational and IT skills.

    Numerical Methods for Ordinary Differential Equations

    You will further develop your computational and professional skills and enhance your knowledge of specialist numerical software packages.

    Linear Algebra and its Applications

    This module will build your conceptual and technical background and, in particular, work on vector spaces will be extended and
    generalised to linear transformations. You will be introduced to coding theory through the application of linear algebra to linear codes.

    Advanced Calculus

    Broaden your knowledge, understanding and skills in advanced higher calculus to topics including Fourier series, partial differential equations and complex analysis.

    Problem Solving

    Learn how to select and apply appropriate techniques, and use specialist mathematical and statistical software to help solve open ended applied problems. Extend your commercial awareness by tackling industrial problems in a professional manner.

  • Year Three

    Core modules

    Differential and Integral Equations

    Apply your knowledge of advanced calculus and differential equations to the solution of differential and integral equations.

    Numerical Analysis and Dynamical Systems

    Develop your knowledge of numerical methods with an emphasis on numerical optimisation techniques, advanced methods for the numerical solution of ordinary differential equations and the application of methods to non-linear problems.

    Stochastic Processes

    Extend your understanding of probabilistic modelling to include stochastic processes and learn advanced techniques for investigating the behaviour of stochastic processes.

    Research Methodology and Ethics

    Provides underpinning research skills relevant to independent study and an introduction to the techniques required to formulate a research project and critical review.

    Optional modules - choose one module from:

    Statistical Modelling

    This module will help you to recognise and understand the principal methods of analysis for medical and financial data, including the analysis of survival data and dealing with large, complex datasets.

    Linear Systems

    You will continue your previous studies in the fields of linear algebra and differential and difference equations.

    Plus choose one module from:

    Applied Statistics

    Extends your experience of statistical techniques and methodologies, applying them in a diverse range of industrial and commercial contexts.

    Topics in Applied Mathematics

    Broadens your knowledge, understanding and skills in the reformulation and solution of equations which are relevant to the modelling of physical phenomena. Topics include partial differential equations and the fundamentals of mathematical modelling.

    Topics in Pure Mathematics

    Introduces you to a selection of research informed advanced topics in pure mathematics, and extends and complements ideas introduced in Year One and Year Two. Topics include graph theory and geometry.

  • Final year

    MMath Research Project

    You will demonstrate your skills and knowledge by producing a substantial, individual piece of work in mathematics or statistics selected from a list of approved titles and reflecting the modules you have taken in earlier years.

    Plus, choose three modules from:

    Coding Theory and Cryptography

    Introduces you to the theory of error correcting codes and cryptography in facilitating the reliable, efficient and secure communication of information.

    Computational Statistics and DataAnalysis

    Explore topics from computational statistics and statistical models that are relevant to modern applications, with an emphasis on developing solid conceptual understanding of these methods through applications.

    Mathematical Recipes

    An introduction to six important theoretical mathematical methods and their wide ranging applications, primarily in physics and engineering.

    Topics in Mathematical Biology

    Examine the use of differential equations and their application to biological systems. You will study network models for a range of
    biological processes, including models of drug delivery, tumour growth and multicellular systems.

Course specification

View the full course specification
Please note that course specifications may be subject to change

Careers and employability

There's a growing need for skilled mathematicians in all areas of industry. Skills such as numeracy and reasoning, together with the analytical approach to problem-solving that you'll acquire, are highly sought after by employers.

If you have ambitions to progress into a professional scientific career in industry or academia, then this course is for you.

After Year Two, you have the opportunity to undertake a one-year work placement in industry, including overseas options. This will give you the chance to gain vital experience and put your knowledge into practice.

Recent Mathematics students have secured placements in the following roles and companies:

You'll be actively encouraged and supported by our dedicated placement team who'll help you find and apply for positions that are right for you. They'll also provide support while you're in your place or work, whether that's home or abroad.

You'll be assessed throughout the year and at the end of your placement you'll write a reflective report and diary. On completion of a successful placement, you'll be eligible to receive an additional award - the Placement Diploma in Professional Practice.

Study options for this course

Notes about fees for this course

UK Fees

Once our 2018/19 fees have been set, they will be available on our fees and funding pages.

Getting in touch

For more advice and guidance, you can contact our Student Financial Support Service.

Tel: +44 (0)115 848 2494

While we aim to keep any extra study costs to a minimum, please see our page on additional costs and optional extras to find out about any additional expenses you may incur on your course.

International Fees

We offer prestigious scholarships to new international students holding offers to study at the University.

While we aim to keep any extra study costs to a minimum, please see our page on additional costs and optional extras to find out about any additional expenses you may incur on your course.

Entry requirements

What are we looking for?

Applicants without A-levels will have their qualifications assessed for subject compatibility. We also consider equivalent qualifications and combinations. Please see UCAS Course Search for more details.

International qualifications

We accept qualifications from schools, colleges and universities all over the world for entry onto our UG and PG degrees. If you're not sure how your international qualification matches our course requirements please visit our international qualifications page.

Foundation courses

If you are an international student who does not meet the direct entry requirements for this course, you can prepare for it at Nottingham Trent International College. Their Foundation Certificate in Science and Engineering (life sciences) offers students a guaranteed progression route to this degree on successful completion to the required level.

English language entry requirements

If English is not your first language you need to show us that your language skills are strong enough for intensive academic study. We usually ask for an IELTS test and we accept some alternative English language tests.

Help and support

If you have any questions about your qualifications or about making an application to the University please contact our international team for advice.

Don't meet the entry requirements?

Consider a Foundation or Pathway course at The School of Science and Technology, Nottingham Trent University to prepare for your chosen course:

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