Mathematics MMath

2021-22 (also available for 2022-23)

Places available in clearing. Find out more.
Places available in clearing. Find out more.

Start date

20 September 2021


4 years full-time
5 years inc. placement year

About the course

Mathematic problems occur across a variety of industries, and therefore, a good mathematician is often in demand. On this course we not only teach mathematical theory, but show you how to apply it to solve real-world problems. Whether you see yourself working in the finance sector, in marketing or advertising, or the aerospace industry, we aim to prepare you with the mathematical skills that are needed to work across a range different organisations.

Most mathematical modelling now requires computers, and programming is often considered to be an essential skill for a mathematician, which is why we introduce using different software in the early stages of this course. For example, you may use R when working with statistics and data analytics, Python or MATLAB for working with fluid dynamics, and Deep Learning when building predictive models. Our course has a strong focus on engineering applications, data analytics and artificial intelligence, the integrated master’s year adds both breadth and depth to the BSc, and includes options in subjects like robotics and machine learning.

This MMath course follows the same first three years of teaching as the BSc degree, with a fourth year at master’s level. You can transfer from the BSc to MMath, provided you achieve the correct grades.

Between your second and third year, you have the opportunity to undertake a placement year, supported by our dedicated Placement Unit, you get chance to put your theory into practice. You may find yourself working in retail helping organisation’s to analyse their customers purchases, or working in healthcare helping to sort and summarise patients’ records, or even working in the food industry to estimate the perfect cooking routine for different products.

I am really excited by Data Science, a fast-growing discipline, finding applications in all areas of society. Most people think it is all about computing, but in fact, it is used in several areas of mathematics. I love to show my students how mathematical tools can extract meaning from the data and how they can be used to find hidden patterns.

Sofya Titarenko Profile Image

Sofya Titarenko, Senior Lecturer

Course detail

Core modules:

Introduction to Modelling and Problem Solving

This module introduces you to mathematical modelling in its broadest context. Working in groups you will learn to formulate mathematical models to address real world challenges, analyse those models, develop actionable recommendations from the analysis and present your work both to peers and in a form accessible to non-specialist problem stakeholders. Relevant mathematical tools and techniques will be introduced as needed for the specific problems.


This module introduces the differential and integral calculus which form the basis of much of the subsequent mathematical topics. The main aims of the module are: To introduce the concept of a derivative To show how to derive derivatives by first principles and by the application of rules such as the product, quotient and chain rules. To introduce integration and its applications. Generalise the notion of a derivative to functions of multiple variables. To introduce first order differential equations and methods for solving them To introduce second order differential equations with constant coefficients.

Mathematical Programming

The aim of this module is to introduce you to computer programming in general, and to Python programming specifically. You will develop an understanding of basic programming concepts and structures such as loops, conditional statements, iterations, functions, variables, scope etc. You will then go on to develop an understanding of object-oriented concepts such as data encapsulation, inheritance and polymorphism. By using Python as the programming language of choice, you will investigate mathematical problems taken from the material taught in lectures and will develop skills for the practical implementation of various types of algorithms discussed in class.

Applied Mathematics

This module will introduce you to mechanics and the modelling of real-world systems by using calculus tools and vector methods. More specifically, you will be introduced to the language of vectors and related concepts in the context of 3D geometry, as well in the statics and dynamics of rigid bodies. Another goal of the module will be to provide you with an example of building up a subject from basic assumptions (e.g. Newton’s laws of motion) to theorems (e.g. the impulse-momentum theorem) to applications (e.g. the motion of a rocket). Finally, during the course of this module you will learn how to formulate and solve sets of algebraic or differential equations describing mechanical systems (e.g. by using the method of integrating factors for vector linear ordinary differential equations).

Linear Algebra

This module introduces fundamental concepts in linear algebra. This module will provide you with a thorough grounding in matrix theory, including properties of matrices (determinant, rank, inverse etc.) and their use in solving systems of linear equations, including existence, ill-conditioning, linear dependence, orthogonality, QR factorisation, Cholesky factorisation, LU factorisation and other solution methods.  You will be introduced to the concepts of eigenvalues and eigenvectors, determining eigen-solutions using both deterministic and numerical methods.

Probability Theory and Statistical Analysis

The module is designed to give you an introduction to the mathematical foundations and the use of statistical methods and methodologies. A variety of real-life problems (involving the analysis of data and interpretation of results) will be used to develop your ability to select and use relevant statistical methods and methodologies. This module gives you a grounding in probability theory and statistical modelling and analysis. It will develop an understanding of probability spaces, conditional probabilities, Bayes theorem, discrete and continuous random variables, statistical distributions, independence, density and mass functions, variance, standard deviation, expectation, statistical sampling and sampling distributions, - chi squared, t-tests. This module will develop both the theory and application of statistical methods through a range of real problems focusing particularly on the analysis of data and interpretation of results.

Entry requirements

To find out if you’re eligible to start this course in September 2021 and get more information on how to apply, please see our Clearing pages or call our Clearing Helpline on 0333 987 900001484 472777.

If you’re interested in studying this course in September 2022, please view the 2022-23 course information.


Why Huddersfield?

Find out why some of our students chose to study with us. From feeling at home as soon as they came to campus, to the fantastic facilities, friendly community and engaging courses.


This course offers you the chance to undertake an optional placement in Year 3. This opportunity helps you to build on the knowledge and skills developed on the course. You will be employed by the company for 12 months, but the actual number of weeks worked will be dependent on the annual leave entitlement you are given in line with the placement company’s policy.

The placement year is a valuable tool that can enhance your employability and help you to develop as an individual. It is acknowledged that graduates with industry experience are generally much more attractive to employers.

Our Placement Unit will be on hand to support you in finding suitable placement opportunities, and are in regular contact with local and national companies. They will assist you with preparing your CV and with interview techniques. They'll also be in contact with you during your placement so that you'll be fully supported while you gain the experience that employers value so highly. You can find more information on placements here.

Alternatively, if you are a student from within the UK, you could consider starting your own small business by applying for the Enterprise Placement Year in conjunction with the University’s Enterprise Team. You’ll have the opportunity to benefit from business advice, mentoring and networking sessions. Find out more information on the Enterprise Placement Year.

Your career

As a graduate of this course, you may consider employment in a wide range of sectors including the aerospace, energy, social media, environmental, pharmaceutical, finance and electronics industries. You could consider roles such as chartered accountant, data analyst, and data scientist, to name a few.

* Percentage of undergraduate graduates from the School of Computing and Engineering who are in work and/or further study fifteen months after graduating (HESA Graduate Outcomes 17/18, UK domiciled graduates).
88.6%* Graduate employment

Student support

At the University of Huddersfield, you'll find support networks and services to help you get ahead in your studies and social life. Whether you study at undergraduate or postgraduate level, you'll soon discover that you're never far away from our dedicated staff and resources to help you to navigate through your personal student journey. Find out more about all our support services.

Research excellence

Research plays an important role in informing all our teaching and learning activities. Through research our staff remain up-to-date with the latest developments in their field, and contribute to society, which means you develop knowledge and skills that are current and highly relevant to industry. For more information, find out more about our Research institutes and centres.

Important information

We will always try to deliver your course as described on this web page. However, sometimes we may have to make changes as set out below.

Changes to a course you have applied for

If we propose to make a major change to a course that you are holding an offer for, then we will tell you as soon as possible so that you can decide whether to withdraw your application prior to enrolment.

Changes to your course after you enrol as a student

We will always try to deliver your course and other services as described. However, sometimes we may have to make changes as set out below:

Changes to option modules

Where your course allows you to choose modules from a range of options, we will review these each year and change them to reflect the expertise of our staff, current trends in research and as a result of student feedback or demand for certain modules. We will always ensure that you have a range of options to choose from and we will let you know in good time the options available for you to choose for the following year.

Major changes

We will only make major changes to the core curriculum of a course or to our services if it is necessary for us to do so and provided such changes are reasonable. A major change in this context is a change that materially changes the services available to you; or the outcomes, or a significant part, of your course, such as the nature of the award or a substantial change to module content, teaching days (part time provision), classes, type of delivery or assessment of the core curriculum.

For example, it may be necessary to make a major change to reflect changes in the law or the requirements of the University’s regulators; to meet the latest requirements of a commissioning or accrediting body; to improve the quality of educational provision; in response to student, examiners’ or other course evaluators’ feedback; and/or to reflect academic or professional changes within subject areas. Major changes may also be necessary because of circumstances outside our reasonable control, such as a key member of staff leaving the University or being unable to teach, where they have a particular specialism that can’t be adequately covered by other members of staff; or due to damage or interruption to buildings, facilities or equipment.

Major changes would usually be made with effect from the next academic year, but this may not always be the case. We will notify you as soon as possible should we need to make a major change and will carry out suitable consultation with affected students. If you reasonably believe that the proposed change will cause you detriment or hardship we will, if appropriate, work with you to try to reduce the adverse effect on you or find an appropriate solution. Where an appropriate solution cannot be found and you contact us in writing before the change takes effect you can cancel your registration and withdraw from the University without liability to the University for future tuition fees. We will provide reasonable support to assist you with transferring to another university if you wish to do so.

Termination of course

In exceptional circumstances, we may, for reasons outside of our control, be forced to discontinue or suspend your course. Where this is the case, a formal exit strategy will be followed and we will notify you as soon as possible about what your options are, which may include transferring to a suitable replacement course for which you are qualified, being provided with individual teaching to complete the award for which you were registered, or claiming an interim award and exiting the University. If you do not wish to take up any of the options that are made available to you, then you can cancel your registration and withdraw from the course without liability to the University for future tuition fees and you will be entitled to a refund of all course fees paid to date. We will provide reasonable support to assist you with transferring to another university if you wish to do so.

When you enrol as a student of the University, your study and time with us will be governed by a framework of regulations, policies and procedures, which form the basis of your agreement with us. These include regulations regarding the assessment of your course, academic integrity, your conduct (including attendance) and disciplinary procedure, fees and finance and compliance with visa requirements (where relevant). It is important that you familiarise yourself with these as you will be asked to agree to abide by them when you join us as a student. You will find a guide to the key terms here, along with the Student Protection Plan, where you will also find links to the full text of each of the regulations, policies and procedures referred to.

The Office for Students (OfS) is the principal regulator for the University.

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