MMath (Hons) Mathematics

Nottingham Trent University

United Kingdom, Nottingham

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Home/United Kingdom/Nottingham /Nottingham Trent University/MMath (Hons) Mathematics

Nottingham Trent University

United Kingdom , Nottingham

Key Facts

Program Level

Bachelor

Study Type

Full Time

Delivery

On Campus

Course Code

G111

Campuses

Clifton Campus

Program Language

English

Start & Deadlines

Next Intake DeadlinesSeptember-2023

Apply to this program

Go to the official application for the university

Duration 5 year(s)

Tuition Fee

GBP 16,500 / year

Next Intake September-2023

MMath (Hons) Mathematics

About

We know that a Masters degree in Mathematics is never an easy option, but it's a worthwhile journey and one that we'll support you on every step of the way.

We'll take your mathematics knowledge to the next level with a wide range of options in statistics and pure and applied mathematics, all taught by our lecturers who are experts in a wide range of topics.

High powered computing labs, 3D printing and virtual reality kit â€“ we've got all the cutting-edge facilities that get you hands-on and applying your mathematics skills.

You'll get to use professional, mathematical and statistical software to boost your subject knowledge, understanding and problem-solving skills. These are all essential elements when it comes to developing your final year research project which can be based around your interests.

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.

Industry accreditation

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 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 run 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.

Top 20 for student satisfaction in Mathematics (National Student Survey, 2022)

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
BSc (Hons) Data Science
BSc (Hons) Mathematics and Statistics

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.

Learn a new language

Alongside your study you also have the opportunity to learn a new language. The University Language Programme (ULP) is available to all students and gives you the option of learning a totally new language or improving the skills you already have. Find out more about the ULP.

Year One
Year Two
Optional placement year
Final year

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.

Differential Equations and Modelling

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.

Optional year-long work placement. If you are not taking a placement, you will progress directly to your final year in year three.

Core module

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 â€“ 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.

Optimisation

Optimisation is the art of optimal decision-making under constraints. This module introduces you to optimisation, focussing on the theoretical foundations of the subject, as well as the practical modelling aspects, and the algorithm analysis and design.

Choose one module from:

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.

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.

Partial Differential Equations

Partial differential equations are an important topic in both pure and applied mathematics. This topic builds on the introduction given in Advanced Calculus to consider linear partial equations in non-trivial domains and to introduce methods of analysing nonlinear first order partial differential equations.

Graph Theory and Combinatorics

This module provides an introduction to a selection of research-informed topics in pure mathematics, and aims to extend and complement ideas introduced in years 1 and 2. It provides a blend of mathematical concepts and techniques that are widely applicable in areas such as data science, operational research, chemistry, engineering, computer science, information technology, statistics, sociology and genetics.

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:

Cryptography and Quantum Computation

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

Computational Statistics and Data Analysis

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.

Applied Statistics

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

Stochastic Processes

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

Linear Systems

Youâ€™ll continue your previous studies in the fields of linear algebra and differential and difference equations.

Partial Differential Equations

This topic builds on the introduction given in Advanced Calculus to consider linear partial equations in non-trivial domains and to introduce methods of analysing nonlinear first order partial differential equations.

Statistical Modelling

Graph Theory and Combinatorics

Provides a blend of mathematical concepts and techniques that are widely applicable in areas such as data science, operational research, chemistry, engineering, computer science, information technology, statistics, sociology and genetics.

Requirements

Entry Requirements

Your qualification	You could study
Secondary School Certificate (Tawjihi) Grade 75%+	International Year One courses at NTIC
Two year Post Tawjihi from Higher Technical Institutes or Commercial Institutes	Students who have studied for two years after the Tawjihi can be considered for Year One undergraduate courses
OND / HND and Associate Degrees	Advanced entry (Year Two or Three) undergraduate courses

Your qualification

You could study

Secondary School Certificate (Tawjihi)

Grade 75%+

International Year One courses at NTIC

Two year Post Tawjihi from Higher Technical Institutes or Commercial Institutes

Students who have studied for two years after the Tawjihi can be considered for Year One undergraduate courses

OND / HND and Associate Degrees

Advanced entry (Year Two or Three) undergraduate courses

Career

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.

Our recent graduates have secured roles at companies including:

L'Oreal
IBM
Goodrich Actuation Systems
Nomura
NHS
Next Retail Ltd

They have gone into a wide variety of job roles including:

Mathematics Teacher
Performance Engineer
Business Analyst.

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 â€“ the Placement Diploma in Professional Practice.

Placements

NTU is one of the most employment-focused universities. Increasingly, employers want to recruit graduates who have real-world work experience. That's why all of our courses, across every subject area, offer you a work experience opportunity. Our experts help build and support your future with a range of career programmes and events.

On this course, after your second year, you will have the opportunity to take a year's work placement (sandwich placement). This will give you the chance to gain vital experience and put your knowledge into practice. You're also twice as likely to secure a graduate job within six months if you take a work placement.

Our recent students have taken placements across a wide range of companies including DeVere Group, Cooper Parry and Government Statistical Services. They secured varied roles such as Trainee Wealth Assistant, Assistant Bio-statistician and Auditing Assistant.

You'll be supported and assessed throughout your placement year and will write a reflective report and diary at the end of your placement. When you successfully complete your placement, you will be eligible to receive an additional award of a Diploma in Professional Practice.

Find out more about work placements.

NTU Enterprise

You'll also have the opportunity to turn your ideas into a viable business with help from NTU Enterprise, NTU's purpose-built Centre for Entrepreneurship and Enterprise, a support centre to help students create, develop and grow their own businesses.

Fee Information

Tuition Fee

GBP 16,500 / year

How to Apply

You can apply through UCAS. If you are not applying to any other UK universities, you can apply directly to us on our NTU applicant portal.

Application advice

Apply early so that you have enough time to prepare – processing times for Student visas can vary, for example. After you've applied, we'll be sending you important emails throughout the application process – so check your emails regularly, including your junk mail folder.

Writing your personal statement

Be honest, thorough, and persuasive – we can only make a decision about your application based on what you tell us:

Would you like some advice on your study plans?

Our international teams are highly experienced in answering queries from students all over the world. We also have members of staff based in Vietnam, China, India and Nigeria and work with a worldwide network of education counsellors.