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Master of Mathematics

Mathematics

Students solving maths puzzles
Top
20
In the UK for Mathematics
in The Guardian University Guide 2020
  • UCAS code(s): G110 / G111
  • Level(s) of study: Undergraduate
  • Study mode(s): Full-time / Sandwich
  • Location: Clifton Campus
  • Starting: September 2021
  • Course duration: 4 / 5 year(s)
  • Entry requirements: More information

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.

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.

You’ll benefit from excellent teaching. We are in the top 10 in the UK for teaching quality in mathematics (The Times and Sunday Times Good University Guide 2021).

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 in the UK for student satisfaction in mathematics (NSS 2020)

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:

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.

    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.

    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.

  • 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:

    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

    You’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

    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.

    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.

Course specification

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

How you’re taught

We want you to graduate with a range of transferable skills, so all of the mathematics modules have two or three assessment components that help you to demonstrate your knowledge in a variety of ways. As well as traditional exams and in-class tests, you’ll complete assignments and group projects, and give presentations. In your final year, you’ll also complete your final project with the support of your personal tutor.

Assessment methods

Year 1 - coursework (28%) and written (72%),

Year 2 - coursework (32%) and written (68%)

Year 3 - coursework (32%) and written (68%)

Year 4 - coursework (50%) and written (50%)

A placement year may be taken between year 2 and year 3 of study

Contact hours

A full-time student on average can expect to spend 1200 hours a year learning which will typically be broken down as follows:

Year 1 - lectures/seminars/workshops (33%) and independent study (67%)

Year 2 - lectures/seminars/workshops (35%) and independent study (65%)

Year 3 - lectures/seminars/workshops (23%) and independent study (77%)

Year 4 - lectures/seminars/workshops (15%) and independent study (85%)

A placement year may be taken between year 2 and year 3 of study

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.

Entry requirements

What are we looking for?

  • 136 UCAS tariff points from up to four qualifications (two of which must be A-level equivalent including Mathematics grade A); or
  • BTEC Extended Diploma – DDD including relevant mathematics modules; and
  • GCSEs – English and Maths grade C / 4

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.

NTU may admit a student with advanced standing beyond the beginning of a course, through an assessment of that student's prior learning, whether it is certificated or uncertificated. Our Recognition of Prior Learning and Credit Transfer Policy outlines the process and options available to these prospective students, such as recognising experiential learning or transferring to a similar course at another institution, otherwise known as credit transfer.

All prospective students who wish to apply via Recognition of Prior Learning should initially contact the central Admissions and Enquiries Team who will be able to support you through the process.

What are we looking for?

  • 136 UCAS tariff points from up to four qualifications (two of which must be A-level equivalent including Mathematics grade A); or
  • BTEC Extended Diploma – DDD including relevant mathematics modules; and
  • GCSEs – English and Maths grade C / 4

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.

NTU may admit a student with advanced standing beyond the beginning of a course, through an assessment of that student's prior learning, whether it is certificated or uncertificated. Our Recognition of Prior Learning and Credit Transfer Policy outlines the process and options available to these prospective students, such as recognising experiential learning or transferring to a similar course at another institution, otherwise known as credit transfer.

All prospective students who wish to apply via Recognition of Prior Learning should initially contact the central Admissions and Enquiries Team who will be able to support you through the process.

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.

  • For a list of our language requirements please visit our English language page.
  • If you need to do a pre-sessional English language course to meet the English requirements please visit our pre-sessional English course page.

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.

How to apply

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

Writing your application and personal statement

Be honest, thorough and persuasive in your application. Remember, we can only make a decision based on what you tell us. So include all of your qualifications and grades, including resits or predicted grades.

Your personal statement is a really important part of your application. It’s your chance to convince us why we should offer you a place! You’ve got 4,000 characters to impress us. Make sure you use them to show how your skills and qualities are relevant to the course(s) you’re applying for. For more hints and tips, take a look at our page on how to write a good personal statement.

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!

Please read our notes on the University's commitment to delivering the educational services advertised.

You can apply directly to the University for an undergraduate course if you’re not applying to any other UK university in the same year. If you are applying to more than one UK university you must apply through UCAS.

Apply as early as you can so that you have time to prepare for your studies. If you need a visa to study here you need to plan this into your application.

  • For a step-by-step guide on making an application to the University please visit our how to apply page.
  • For advice on applying for a visa please visit our visa information page.
  • For advice on how to write a good personal statement please visit our personal statement page.

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.

Good luck with your application!

Please read our notes on the University's commitment to delivering the educational services advertised.

Fees and funding

Preparing for the financial side of student life is important, but there’s no need to feel anxious and confused about it. We hope that our fees and funding pages will answer all your questions.

Getting in touch

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

Tel: +44 (0)115 848 2494

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.

Library books

Most study modules will recommend one or more core text books, which most students choose to purchase. Book costs vary and further information is available in the University’s bookshop. Our libraries provide a good supply of essential text books, journals and materials (many of which you can access online) – meaning you may not need to purchase as many books as you might think! There may also be a supply of second-hand books available for purchase from previous year students.

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. Placement opportunities are available in the UK and overseas.  Travel grants and Erasmus funding may be available to help fund international travel costs.

Print and copy costs

The University allocates an annual printing and copying allowance of £20 depending on the course you are studying. Students will also be required to pay additional costs for printing, poster preparation and final dissertation copies in their final year - estimated costs approximately £20 - £50. For more details about costs for additional print and copying required over and above the annual allowance please see the Printing, photocopying and scanning information on the Library website.

Other

Students will require a basic scientific calculator for use in examinations (e.g. Casio 83 or 85 series, approximately £15).

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

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.

Library books

Most study modules will recommend one or more core text books, which most students choose to purchase. Book costs vary and further information is available in the University’s bookshop. Our libraries provide a good supply of essential text books, journals and materials (many of which you can access online) – meaning you may not need to purchase as many books as you might think! There may also be a supply of second-hand books available for purchase from previous year students.

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. Placement opportunities are available in the UK and overseas.  Travel grants and Erasmus funding may be available to help fund international travel costs.

Print and copy costs

The University allocates an annual printing and copying allowance of £20 depending on the course you are studying. Students will also be required to pay additional costs for printing, poster preparation and final dissertation copies in their final year - estimated costs approximately £20 - £50. For more details about costs for additional print and copying required over and above the annual allowance please see the Printing, photocopying and scanning information on the Library website.

Other

Students will require a basic scientific calculator for use in examinations (e.g. Casio 83 or 85 series, approximately £15).

Still need help?

+44 (0)115 941 8418