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 – 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:

Mathematical aspects of Computer Science

Computational and Industrial Mathematics

Bioinformatics and Complex Systems Group.

Professional accreditation

by the Institute of Mathematics and its Applications, which is a seal of approval from the professional body and will help you on your way to Chartered Mathematician status.

Top 20 in the UK

for teaching quality in Mathematics (Times and Sunday Times Good University Guide 2026).

A university campus experience

within one of Europe’s top 25 student cities, and home to over 75,000 learners.

Who will teach me?

Dr David Chappell (SFHEA) is an applied mathematician, with interests in fluid and wave problems arising in engineering and industry.

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 (SFHEA) 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 (SFHEA) 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.

Summer Research Placements

Take your learning beyond the classroom with a fully funded summer research placement. You'll work alongside expert researchers on cutting-edge projects, contributing to impactful research that tackles real-world challenges. Many projects are connected to our internationally recognised research activities, while some are supported by industry partners, giving you valuable experience of commercial collaborations and applied research. It's a fantastic way to develop your skills, strengthen your CV and discover where a career in research could take you. Placements are competitive and subject to availability.

Get ready to embark on an adventure with our study abroad programs at partner universities or by getting a work placement overseas. Both opportunities will boost your employability, build lifelong friendships, and allow you to experience the world in a whole new way.

Course accreditations

This course is accredited by the Institute of Mathematics and its Applications, which is a seal of approval from the professional body and will help you on your way to Chartered Mathematician status.

Module information

A standard full-time MMath (Hons) course is made up of 120 credits studied each year. Some courses may vary, however, and you can find information on the total number of credits achieved per module below.

Here’s a breakdown of what you’ll be studying throughout the

Year OneYear TwoOptional placement yearYear ThreeFinal Year

ModulesExpand all +

Foundations of Pure Mathematics

First you’ll be introduced to the world of rigorous mathematics, which is ruled by the laws of mathematical logic and is based on the concept of mathematical proof. Set theory will then be introduced and through looking at real-world examples, you’ll learn about the other important algebraic structures, such as vector spaces and groups.

20 credits

Calculus

The module aims to consolidate and extend previous knowledge of calculus, with emphasis on the underlying intuition of the techniques. Methods taught will include professional mathematical writing, definitions of limits and functions, differentiation and integration, from the fundamental principles, to integrating and differentiating complicated functions. This is then extended to multi-dimensional coordinate systems.

Finally, we will study ordinary differential equations, which describe changes in real-world systems. These will be solved by applying the techniques from the first part of the module. Overall, this module will underpin material that you will encounter in many subsequent modules, both in the same and other fields.

Data Analysis

This module provides a foundation to data analysis and statistics, designed for students with no prior background in the subject. Using user-friendly statistical software, it offers a practical approach to exploring key concepts. Assessments are structured around work like experience, incorporating big data applications and global sustainability targets.

Beyond technical skills, the module fosters employability by developing teamwork, oral presentation abilities, and effective communication with non-specialist audiences. Beginning with data visualisation and fundamental statistical principles, it progresses to more advanced topics such as expectation and conditional probability, ensuring a solid foundation in statistical reasoning needed for the advance topics in higher years.

Introduction to Linear Algebra and Computation

Studying Linear Algebra gives you a great base knowledge you’ll use in many modules during your course. Concepts include complex numbers, vectors and matrices. Using mathematical software packages you’ll focus on computational and numerical methods that can be used to find approximate solutions to problems that cannot be solved analytically.

Investigations in Analysis

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.

Introduction to Discrete Mathematics and its Applications

You’ll start by learning how to program using Python before investigating several problems in discrete mathematics. Working in groups, you’ll discover potential solutions, which will be formalised into algorithms that can be implemented in Python.

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 by applying linear algebra to linear codes.

Differential Equations

This module develops your understanding of differential equations and how they can be used to model real-world systems. You'll explore advanced analytical and numerical solution techniques while gaining practical experience with tools such as MATLAB and LaTeX. Strengthen your computational, problem-solving and teamwork skills needed for higher-level mathematics and a range of technical careers.

Probability and Statistical Inference

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

Advanced Calculus

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

Mathematical Enterprise

In this module you’ll work in small teams to develop a plan for a new business or enterprise, using your mathematical skills to showcase the viability of your venture. This module is run in conjunction with local businesses.

Cryptography and Computational Complexity

Learn how to select and apply appropriate techniques and use computer programming and specialist mathematical software to help solve problems. You’ll look at the need to develop more and more sophisticated ways of protecting information through cryptography. Analyse the hardness and limitations of mathematical algorithms using computational complexity theory.

If you are not taking a placement, you will progress directly to year three.

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

Core modulesExpand all +

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 analysis of dynamical systems. The real-world applications of these techniques are many and varied and include fascinating problems in the physical and life sciences.

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

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

Report and Professional Skills

In this module you will undertake a small mathematics project with dedicated support and supervision to prepare you for the larger final-year project. The project will hone your skills, knowledge, and problem-solving abilities and you’ll explore your career options after graduation.

Optional modules - choose oneExpand all +

Differential and Integral Equations

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

Optimisation

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

Experimental Design and Machine Learning

This module will show you how to get the most of real-life data. In the experimental design half, you’ll learn the methodology and techniques to design, conduct and analyse an experiment before applying statistical analysis to your results to ensure you get the best data possible. The machine learning half will show you how to get the most out of any dataset you may come across in your future career.

Partial Differential Equations

Partial differential equations are an important topic in both pure and applied mathematics. This topic builds on earlier content to consider linear partial equations in non-trivial domains and to introduce methods of analysing nonlinear first order partial differential equations. Attention will be given to the derivation of such equations, as well as the numerical techniques that can be applied to these equations.

Medical Statistics and Financial Modelling

The medical side will focus on clinical trial design (how to test novel drugs, when to use placebos etc.) and survival analysis (how we display fatality rates and compare survival chances). The financial side will look at Time Series modelling; the dark arts of using statistical models to predict envelopes for future stock performance! This model gets you to practically apply analytical skills in two of the big growth fields for Maths employment.

Graph Theory and Combinatorics

This module introduces some research-informed topics in discrete mathematics by extending and building on ideas introduced in earlier years. 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.

Core moduleExpand all +

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.

60 credits

Optional modules – choose threeExpand all +

Quantum Computing and Cryptography

Introduces you to quantum information theory and how quantum computing can deliver unprecedented computational power. A new generation of quantum computers will be able to solve currently intractable problems, which, for example, will unlock new opportunities for banks in risk assessment and trading, allowing much faster computations over existing conventional computers.

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.

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.

Mathematical Recipes

This module offers a rigorous introduction to applied mathematics, demonstrating its relevance in physics and engineering. A central theme throughout the six topics covered is Green's functions, named after Nottingham's notable mathematician George Green. You'll learn how to construct these functions from fundamental principles, through eigenfunction expansions, and using integral transforms.

We regularly review our course content based on student and employer feedback to ensure they remain current and relevant. This may result in changes to module content or availability in future years. Optional modules will only run where there is sufficient demand. This will be determined on a case-by-case basis to protect the academic and student experience.

Student experience

Ruby Platt

Mathematics student

“The lecturers here in the maths department are world class...and they teach in a way that doesn't make you feel silly or like you don't know anything.”

Read Ruby's profile

Jordan Jackson

Financial Mathematics student

“I had visited NTU and had spoken to some friends who were studying at NTU. Their feedback was nothing but positive.”

Read Jordan's profile

How you're taught

Every week you’ll attend lectures, seminars, practical sessions and workshops. You’ll learn through a mix of:

lectures - covering the key theories

seminars - smaller-group sessions perfect for learning key skills and collaborative working

practical sessions - using our extensive range of industry-standard facilities

workshops - these include sessions where you’ll meet industry partners to learn about current software practices.

The rest of your time will be spent carrying out independent study such as reading textbooks and lecture notes, and working on exercises.

In your final year, you’ll also complete your final project with the support of your personal tutor.

A placement year may be taken between Year Two and Year Three of study.

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.

How you're assessed

People excel in different ways, and we want everybody to have the best possible chance of success. That’s why we’ve adopted a range of assessment types, including:

coursework, including case studies, dissertation and other assignments

practical assessments, such as individual and group presentations, laboratory assessments and lab reports

exams and tests, including formal exams, written tests and multiple-choice.

Contact hours

For each 20-credit module, you’ll spend about 200 hours learning overall. Around 40 of those hours will be taught in lectures or seminars. The rest of the time is for independent study, reading, research, or working on assignments.

Who will teach you?

Christian Beardah

Senior Lecturer

Visit Christian Beardah's staff profile

Colin Wilmott

Visit Colin Wilmott's staff profile

James Hind

Visit James Hind's staff profile

Martin Nelson

Dr. Martin Nelson is a Senior Lecturer of Applied Mathematics at NTU, researcher of Mathematical Biology, complex immunology and multi-faceted bio systems.

Visit Martin Nelson's staff profile

Entry requirements

UK students

Standard offer: 136 UCAS Tariff points from up to four qualifications including A-level or equivalent including Maths grade C

Contextual offer: 128 UCAS Tariff points from up to four qualifications including A-level or equivalent including Maths grade C

To find out what qualifications have tariff points, please use our tariff calculator.

Additional requirements

Additional requirements for UK students

There are no additional requirements for this course.

Contextual offers

We consider every application in the context of your individual circumstances and educational background. This may include information about where you live, the school or college you attended, or experiences that may have shaped your educational journey. This is known as a contextual offer, and we use information provided through UCAS to help inform our decisions. By considering achievement in context, we can better recognise academic potential and ensure applicants are assessed as fairly and fully as possible.

Meeting our entry requirements

Hundreds of qualifications in the UK have UCAS Tariff points attached to specific grades, including A-levels, BTECs, T Levels and many more. You can use your grades and points from up to four different qualifications to meet our criteria. Enter your predicted or achieved grades into our Tariff calculator to find out how many points your qualifications are worth.

Other qualifications and experience

NTU welcomes applications from students with non-standard qualifications and learning backgrounds, either for year one entry or for advanced standing beyond the start of a course into year 2 or beyond.

We consider study and/or credit achieved from a similar course at another institution (otherwise known as credit transfer), vocational and professional qualifications, and broader work or life experience.

Our Recognition of Prior Learning and Credit Transfer Policy outlines the process and options available for this route. If you wish to apply via Recognition of Prior Learning, please contact the central Admissions and Enquiries Team who will be able to support you through the process.

Getting in touch

If you need more help or information, get in touch through our enquiry form.

International students

Academic entry requirements: 136 UCAS Tariff points from up to four qualifications including A-level or equivalent including Maths grade C. We accept equivalent qualifications from all over the world. Please check your international entry requirements by country.

English language requirements: See our English language requirements page for requirements for your subject and information on alternative tests and Pre-sessional English.

Additional international requirements

Additional requirements for international students

English language requirements

View our English language requirements for all courses, including alternative English language tests and country qualifications accepted by the University.

If you need help achieving the language requirements, we offer a Pre-Sessional English for Academic Purposes course on our City campus which is an intensive preparation course for academic study at NTU.

If you have the right level of qualifications, you may be able to start your Bachelors degree at NTU in year 2 or year 3. This is called ‘advanced standing’ entry and is decided on a case-by case basis after our assessment of your qualifications and experience.

You can view our Recognition of Prior Learning and Credit Transfer Policy which outlines the process and options available, such as recognising experiential learning and credit transfer.

Sign up for emails

Sign up to receive regular emails from the International Office. You'll hear about our news, scholarships and any upcoming events in your country with our expert regional teams.

If you need advice about studying at NTU as an international student or how to apply, our international webpages are a great place to start. If you have any questions about your study options, your international qualifications, experience, grades or other results, please get in touch through our enquiry form. Our international teams are highly experienced in answering queries from students all over the world.

Policies

We strive to make our admissions procedures as fair and clear as possible. To find out more about how we make offers, visit our admissions policies page.

Fees and funding

UK students - see the fees for this course, as well as information about funding and support.

£10,050 per year

Year abroad - £1,507

Placement year - £2,010

If you choose to do a placement year or year abroad, you'll pay a reduced fee for that year. Please be aware that you will be charged the fee set for the year this takes place, rather than being fixed at the rate applicable when you start your course, and any increases are subject to Government approval. As a guide, the fees above are for the 2027/28 academic year.

Find out about the extra support we may be able to provide to help pay for uni, including NTU bursaries and scholarships.

You will need to pay tuition fees for each year that you are at university. The tuition fees, including the placement year and study abroad options are subject to government policy and may change in future years of study.

Preparing for the financial side of student life is important, but we don’t want you to feel anxious or confused about it. Visit our fees and funding pages if you have any concerns.

International students - see the fees for this course, as well as payment advice and scholarships.

£18,400 per year

You will need to pay tuition fees for each year that you are at university. The tuition fees might increase from the second year of your undergraduate course, in line with inflation and as specified by the UK government.

Scholarships

We offer international scholarships of up to 50% of your tuition fee. You can apply for a scholarship when you have an offer to study at NTU.

Living costs

See our advice on managing your money and the cost of living as an international student in Nottingham.

Paying fees

As an international student, you'll need to make an advance payment as part of your offer conditions. You'll then need to pay your tuition fees in full, or have an agreement to pay in two further instalments, in order to enrol on the course.

Find out how and when to pay your fees, including information about your advance payment, instalment dates and how to make payments securely to the University.

Enquiries

If you have any queries relating to advance payments or arrangements to pay, please contact our friendly and experienced international enquiries team.

Additional costs

Your course fees cover the cost of studies and include loads of great benefits, such as the use of our library, support from our expert Employability team and free use of the IT equipment across our campuses. There are just a few additional things you may need to budget for:

Textbooks and library books

Your modules will point you to key textbooks and recommended reading. Many are available online, and in our libraries, but some students choose to buy their own copies. You’ll receive resource lists showing where to access eBooks, digital resources and physical copies. Our friendly Library team is always on hand to help you find what you need.

Printing and photocopying costs

The University allocates an annual printing and copying allowance of £20 depending on the course you are studying. For more details about costs for additional print and copying required over and above the annual allowance please see the printing and photocopying information on the Library website.

Field trips

All essential field trip costs will be included in your course fees. There may be the opportunity to take part in optional field trips, which do incur additional costs.

Placements

If you're undertaking a placement year, you'll need to budget for accommodation and any travel costs you may incur whilst on placement. Many of our placement students do earn a salary whilst on placement which can help to cover these living costs.

Scientific Calculator

You will require a scientific calculator for use in examinations (e.g. any A-level approved calculator such as Casio 83 or 85 series, approximately £15).

Year abroad

If you choose to study abroad for a year, you may need to consider additional costs such as visas, vaccinations, accommodation and travel expenses.

Fees and funding advice

For more advice and guidance, phone the Student Money Team on +44 (0)115 848 2494.

Cost of living information and support

Managing your money can help you make the most of life at NTU. Here's how we can support you, and now you can make your funding go further.

Cost of living in Nottingham

Our student benefits and free services

Money advice for international students

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.

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.

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.

Employability Promise

Personalised support, one-on-one coaching and industry-specific advice – it’s all part of our Employability Promise. And it doesn’t end when you leave NTU – you’ll have access to all our careers services for three years after you graduate (conditions apply).

Graduate employers

Graduates from this course have successful careers in organisations such as:

BAE Systems

Experian

East Midland Special Operations Unit

Microlise Ltd

Our graduates are…

Graduates from this course now work in a wide range of roles such as:

Data Analyst

Data Scientist (Cyber Crime)

Business Analyst

Performance Engineer

Trainee Accountant

Graduate Client Manager

Secondary Mathematics Teacher

Assessed work-like experience

We’ve embedded at least eight weeks of assessed work-like experience into all of our courses. This gives you the opportunity to apply your learning in real-world scenarios, build your confidence, and develop the experience employers are looking for.

NTU Enterprise

If you’re a budding entrepreneur, NTU Student Enterprise can help you to develop your ideas and innovations and turn them into a reality. We also offer training, mentoring, workshops, financial advice and more to develop your business skills.

Campus and facilities

You’ll mainly be studying in the Erasmus Darwin and Teaching and Learning buildings with access to facilities including 3D printers and VR to help you visualise mathematical concepts.

Our self-contained, community-focused Clifton Campus has been designed to keep students busy between lectures. Catch-up with your course mates in the Pavilion’s barista café and Refectory; brainstorm group presentations in chic and stylish study spaces; enjoy some proper R&R in The Point, home of our Students’ Union. The campus also hosts the multimillion-pound Clifton Sports Hub, offering great options for everyone — whatever your interests, and however competitive you’d like to get!

You’re also right next to the bright lights of Nottingham — one of Britain’s top 10 student cities, and one of Europe’s top 25. All through termtime, a dedicated on-campus bus service will get you to the heart of the action (and back) in under 25 minutes. You’ll find a city stuffed with history, culture, and well-kept secrets to discover at your leisure: enjoy lush green spaces, galleries, hidden cinemas and vintage shopping by day, and an acclaimed food, drink and social scene by night.

360 ° view of the Virtual Reality Lab

Step into the Maths seminar room 360

Mathematics Facilities

For more information visit the Mathematics Facilities page.

Physics Facilities

For more information visit the Physics Facilities page.

Erasmus Darwin Building

For more information visit the Erasmus Darwin Building page.

Take a virtual tour

Applying

Ready to join us? Then apply as soon as you can. Just click the Apply button and follow the instructions for applying. Make sure you check the entry requirements above carefully before you do.

Keeping up-to-date

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.

You can get more information and advice about applying to NTU on our Your Application page. Good luck with your application!

Apply through UCAS

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

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.

Complete this simple form to keep in touch with the International Office.

Please read our application guidance before you start your application.

We advise you to prepare and apply as early as you can as Student visa processing time can vary.

We'll send you important emails throughout the application process. Please check your emails regularly, including your junk/spam mail folder.

Apply through NTU portal

Personal statement guidance

You’ll submit a personal statement with your UCAS application – here are our tips on what to include and how to structure your personal statement.

Application support

If you have any questions about applying, get in touch through our online form or call us on 44 (0)115 848 4200.

Related courses

Mathematics

BSc (Hons)

Mathematics (with foundation year)

Mathematics with Statistics

More from this subject

View more courses on the Mathematics subject page

Further study

View Mathematics postgraduate courses

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