Mathematics MMath Honours

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What is Clearing?

Each year, universities may have spaces left on their courses after the application window has closed in June.

UCAS Clearing is your opportunity to snap up one of these places, even if you didn't apply to the university prior to the June deadline.

It also gives you a second chance to go to university if you didn't get the grades you needed for your firm and insurance offers.

How do I get in touch?

Our Clearing entry requirements may differ from those advertised. Please contact our friendly advisers to find out if you’re eligible for a place. You can get in touch through our hotlines: 

• For domestic students please call us on 0800 073 5050
• If you’re an International student calling from outside the UK, call: +44 191 222 5000

Not available in Clearing

This course is not available in Clearing 2025.

This means there are no spaces available for Clearing 2025. If you can't find vacancies in your original course or subject area, try exploring other subjects in a related field.

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Course overview

Mathematics is at the heart of many modern scientific advancements, from artificial intelligence to climate modelling. If you like solving problems, learning new things, and being creative, this could be the degree for you.

With our accredited degree, you'll develop a versatile skillset that employers value. Use your logical, strategic and analytical skills to solve complex problems.

Our accredited Mathematics MMath degree includes an extra year for your integrated Master's.

In Stage 4 you’ll work on a research project in applied mathematics or pure mathematics. During this stage, you’ll also study more advanced modules and draw on the research expertise of our staff.

All our mathematics and statistics degrees focus on three core areas:

• pure mathematics
• applied mathematics
• statistics

You’ll have the flexibility to choose the area you’d like to focus on, or even transfer between our mathematics and statistics degrees.

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Your course and study experience - disclaimers and terms and conditions  
Please rest assured we make all reasonable efforts to provide you with the programmes, services and facilities described. However, it may be necessary to make changes due to significant disruption, for example in response to Covid-19.

View our Academic experience page, which gives information about your Newcastle University study experience for the academic year 2025-26.

See our terms and conditions and student complaints information, which gives details of circumstances that may lead to changes to programmes, modules or University services.

Additional information

Flexible degree structure

You’ll study a common set of core modules for the first two years on these degrees:

• Mathematics BSc
• Mathematics MMath
• Mathematics and Statistics BSc

This means you’ll have the flexibility to transfer between these degrees until the end of your second year. To qualify for Stages 3 and 4 of the MMath degree, you should have an upper-second-class average mark in Stages 2 and 3.

Quality and ranking

Professional accreditation and recognition

All professional accreditations are reviewed regularly by their professional body.

Modules and learning

Modules

The information below is intended to provide an example of what you will study.

Most degrees are divided into stages. Each stage lasts for one academic year, and you'll complete modules totalling 120 credits by the end of each stage. 

Our teaching is informed by research. Course content may change periodically to reflect developments in the discipline, the requirements of external bodies and partners, and student feedback.

Optional module availability
Student demand for optional modules may affect availability.

Full details of the modules on offer will be published through the Programme Regulations and Specifications ahead of each academic year. This usually happens in May.

To find out more please see our terms and conditions

You’ll take a set of core modules that are common across our mathematics and statistics degrees. Learn about the key skills and knowledge that all mathematicians and statisticians need. We’ll also cover the main areas of pure mathematics, applied mathematics, algebra, probability and statistics.

Modules

Compulsory Modules	Credits
Introductory Algebra	20
Real Analysis	10
Introduction to Probability and Statistics	20
Logic, Sets and Counting	10
Number Systems	10
Problem Solving with Python	10
Introductory Calculus and Differential Equations	20
Multivariable Calculus	10
Dynamics	10

You'll study a core set of modules in pure mathematics, applied mathematics, and statistics. You'll have some flexibility in your module choices. You'll learn advanced techniques and build upon what you learned in Stage 1.

Modules

Compulsory Modules	Credits
Linear Algebra	10
Complex Analysis	10
Groups and Rings	10
Statistical Inference	10
Probability	10
Regression	10
Vector Calculus	10
Differential Equations, Transforms and Waves	10
Fluid Dynamics I	10

Optional Modules	Credits
Frontiers in Data Science A	10
Curves and Surfaces	10
Coding Theory	10
Numerical Methods with Python	10
Stochastic Processes	10
Data Visualisation	10
Principles of Quantum Mechanics	10
Mathematical Biology	10

In this year, you can choose from a wide range of optional modules. These are closely linked to the research expertise of our staff.

You’ll also work on a group project in applied mathematics, pure mathematics, statistics or education.

Modules

Compulsory Modules	Credits
Mathematical & Skills Group Project	20

Optional Modules	Credits
Clinical Trials	10
Decision Modelling for Health Data Science	10
Topics in Medical Statistics and Health Data Science	10
Curves and Surfaces	10
Coding Theory	10
Global Education in Mathematics and Statistics	10
Group Theory	10
Linear Analysis	10
Matrix Analysis	10
Metric Spaces and Topology	10
Number Theory and Cryptography	20
Measure Theory	10
Stochastic Financial Modelling	10
Experimental Design	10
Foundations of Machine Learning	10
Extreme Value Theory	10
Time Series	10
Survival Analysis	10
Statistical Genetics	10
Mathematical Statistics	10
Statistical Modelling	10
Bayesian Statistics and Decision Theory	10
Principles of Quantum Mechanics	10
Mathematical Biology	10
Quantum Information	10
Methods for Differential Equations	10
Fluid Dynamics II	10
Relativity and Fundamental Particles	10
Hydrodynamic and Climate Instabilities	10
Variational Methods and Lagrangian Dynamics	10
Career Development for final year students	20
Classical Fields	10

This is your integrated Master’s year.

During this year, your MMath project will take up a third of your time. This will be an in-depth study in an area of applied mathematics or pure mathematics.

Modules

Compulsory Modules	Credits
MMath Project	40

Optional Modules	Credits
Clinical Trials with Advanced Topics	10
Decision Modelling for Health Data Science with Advanced Topics	10
Advanced Topics in Medical Statistics and Health Data Science	10
Foundations of Machine Learning with Advanced Topics	10
Experimental Design with Advanced Topics	10
Extreme Value Theory with Advanced Topics	10
Survival Analysis with Advanced Topics	10
Time Series with Advanced Topics	10
Stochastic Financial Modelling with Advanced Topics	10
Statistical Genetics with Advanced Topics	10
Foundations of group theory	10
Linear analysis	10
Matrix analysis	10
Matrix Representations of Groups	10
Measure Theory	10
Lie Groups and Lie Algebras	20
Functional Analysis	10
Relativity and Fundamental Particles	10
Hydrodynamic and Climate Instabilities	10
Variational Methods and Lagrangian Dynamics	10
Geophysical & Astrophysical Fluids	20
General Relativity	20
Quantum Fluids	20

Information about these graphs

We base these figures and graphs on the most up-to-date information available to us. They are based on the modules chosen by our students in 2024-25.

Teaching time is made up of:

• scheduled learning and teaching activities. These are timetabled activities with a member of staff present.
• structured guided learning. These are activities developed by staff to support engagement with module learning. Students or groups of students undertake these activities without direct staff participation or supervision

Teaching and assessment

Teaching methods

You'll be taught through:

• lectures
• problem classes
• tutorials and drop-in sessions
• practical computer classes and computer-based assessments
• data analysis

Assessment methods

You'll be assessed through a combination of:

• 

  Assignments – written or fieldwork

• 

  Dissertation or research project

• 

  Examinations – practical or online

• 

  Group work

• 

  Presentations

Skills and experience

Practical skills

Gain hands-on experience in our computer teaching lab and develop essential computational skills. In Stage 1, you'll be introduced to Python and R, with further advancement in Stage 2.

Learn programming languages and tackle a wide range of mathematical and statistical problems.

Business skills

Throughout your degree, you'll develop a range of transferable skills, such as:

• analytical writing
• report writing
• presentation skills
• analysing data trends
• manipulating big data
• coding

You can also work on an optional industry project or take a work placement. These opportunities are very flexible. They’re arranged throughout the academic year, during the summer period or with students taking a break from academic studies.

Join the Data Innovation Bootcamp, hosted by the National Innovation Centre for Data. Network with businesses and apply data science methodologies to solve a real business challenge.

Research skills

In Stage 4, you'll study advanced modules which will take you closer to the frontiers of research.

You'll also work on a substantial extended research project in a subject area of your choice. This will help you develop your skills of independent study and how to present a set of results orally and in writing.

Student stories

Newcastle University provided support and resources for refugees like myself and was committed to creating a safe and supportive environment for me.

Opportunities

Study abroad year

Experience life in another country by choosing to study abroad as part of your degree. You’ll be encouraged to embrace fun and challenging experiences, make connections with new communities and graduate as a globally aware professional, ready for your future.

You can choose to spend up to a year studying at a partner institution overseas. Our overseas partner institutions include:

• Universiteit Leiden, Netherlands
• L-Universta ta' Malta, Malta
• Universitat Politècnica de Catalunya, Barcelona
• Technisches Universitat Munchen, Munich

There are also lots of options in North America, Australia and Asia, including:

• Buffalo, New York State
• McGill, Montreal
• University of New South Wales, Sydney
• Hong Kong
• Singapore

During your time studying abroad, you will select from a range of modules offered by your host university. Alongside taking some subject-relevant modules, you will be given greater flexibility to choose modules from different disciplines (eg Languages, Business)

If you choose to study abroad, it will extend your degree by a year.

Short-term global opportunities

During your degree, you can take part in short-term global opportunities in countries such as:

• USA
• Cyprus
• Hong Kong
• Singapore
• Sri Lanka

The activities range from four days to eight+ weeks, and include:

• summer schools
• internships
• volunteering
• experiential learning

Funding is available to support students who want to participate.

Work placement

Get career-ready with a work placement and leave as a confident professional in your field. You can choose to spend 9 to 12 months working in any organisation in the world, and receive University support from our dedicated team to secure your dream placement. Work placements take place between stages 3 and 4.

You'll gain first-hand experience of working in the sector, putting your learning into practice and developing your professional expertise.

If you choose to take a work placement, it will extend your degree by a year. Work placement is not available if you're spending a year abroad. Placements are subject to availability.

Find out more about work placements

Facilities and environment

Facilities

You'll join the School of Mathematics, Statistics and Physics based in the Herschel Building.

A state-of-the-art learning environment will support your studies and you'll have access to extensive IT facilities for teaching and self-study, including:

• computer-based exercises with instant review of model solutions
• problem-solving video tutorials
• recording system for video capture of lectures, which you can download and watch again to help with your revision

The Herschel Building also has dedicated study and social spaces, and a computing area.

Support

We take your health and wellbeing seriously and are committed to supporting you throughout your studies so you can fulfil your potential at university. This support includes:

• a personal tutor who is an academic member of staff who can help you with academic and personal issues throughout your degree
• a peer mentor scheme which pairs you with a current student from your course to help you navigate your first year at university
• a student-staff committee, to give you an opportunity to have a say in how your degree works
• Student Wellbeing Advisors who can offer comprehensive listening and support and signpost you to other University support services or external support agencies

Transition Officer

A dedicated staff member is here to support you in transitioning from school to university study.

The Transition Officer works with Stage 1 undergraduates to provide:

• Stage 1 pastoral and academic support
• attendance and academic performance monitoring
• Stage 1 induction
• weekly drop-ins

You'll also benefit from our:

• induction programme, including social events, to help you settle in quickly
• activities and events run by our student-run society, MathSoc
• homework classes to help with assignments

Your future

Join a network of successful graduates

This Mathematics MMath can provide a route into various careers across a broad range of industries. Previous graduates have gone into roles within 15 months of graduating:

• Associate Automated Software Tester at Sky
• Graduate Developer at Scott Logic
• CRM Data Analyst at Greggs PLC
• Data Analyst at AXA UK
• Graduate Data Engineering Consultant at Serios Group
• IT Engineer at DXC Technology
• App Developer at KPMG
• Maths Teacher at Sacred Heart Catholic High School
• Trainee Accountant at EY
• Data Engineer at Optimised

Further study

This degree provides a pathway to PhD-level study in a variety of fields. This depends on the optional modules you choose.

As a Mathematics graduate, you can pursue advanced research in:

• pure mathematics
• applied mathematics
• data science and machine learning
• mathematical finance and actuarial science
• cryptography and information security
• computational mathematics and algorithms
• statistics and probability theory
• mathematical biology and epidemiology
• operations research and systems engineering

Careers for mathematicians and statisticians

Mathematicians and statisticians have always been highly valued by employers for their analytical and problem-solving skills, and their ability to think logically and quantitatively.

These skills are in increasing demand beyond the traditional sectors of finance, with industries such as technology, healthcare, artificial intelligence, cybersecurity, data science, and engineering actively seeking mathematical expertise to drive innovation and decision-making.

Businesses have ever increasing volumes of data available and this data needs to be analysed and modelled. Our recent graduates are putting their mathematical skills into practice in sectors such as:

• utilities
• defence
• advanced manufacturing
• transportation
• energy
• sports analytics
• health economics

Maths graduates are also highly sought-after for roles in teaching.

You'll also develop key skills which are essential for the employment market such as communication, teamwork, planning, and organisation.

Benefit from strong industry links

You'll also benefit from our well-established links. Our industrial advisory board members and research colleagues influence and inform our curriculum and include representatives from businesses such as:

• Advanced Engineering Solutions
• Atkins Realis
• Azets
• Arup
• Big Spark
• Centre for Process Innovation
• Department for Environment, Food & Rural Affairs (DEFRA)
• Draeger
• National Audit Office
• National Nuclear Laboratory
• Nissan
• North Star Ventures
• Northern Gas Networks
• Northumbria Healthcare
• Roche
• Rosen Group
• Royal Meteorological Society
• Sage plc
• York & North Yorkshire Office for Policing, Fire, Crime and Commissioning

 

Make a difference

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Careers support

The School of Mathematics, Statistics and Physics is supported by Careers Service and the Learning Partnerships team to support your career readiness from the moment you arrive.

You'll benefit from:

• guest lectures from alumni and industry built into the modules
• career-planning sessions from award-winning Careers service team employers regularly visiting campus and the School

There is also a Maths, Stats and Physics Employability resource which brings you the latest opportunities, adverts and news.

There is also the popular optional Stage 3 module in Career Development if you wish to further enhance your employability.

Our Careers Service is one of the largest and best in the country, and we have strong links with employers. We provide an extensive range of opportunities to all students through our ncl+ initiative.

Visit our Careers Service website

Recognition of professional qualifications outside of the UK

From 1 January 2021 there is an update to the way professional qualifications are recognised by countries outside of the UK

Tuition fees and scholarships

Tuition fees for academic year 2026-2027

The 2026 entry home fees have not yet been confirmed.

Qualification: MMath Honours
Home students full time 4 years	Tuition fees (Year 1) Not set
International students full time 4 years	Tuition fees (Year 1) Not set

Home Fee Students

Home students starting in 2025 entry

Tuition fees are payable for each year of your course. £9,535 is the maximum fee that we are permitted to charge for home fee-paying students for the academic year 2025-26. This is set by the UK government. This fee has not yet been confirmed for 2026-27.

As a general principle, you should expect the tuition fee to increase in each subsequent academic year of your course, subject to government regulations on fee increases and in line with inflation.

Read more about fees and funding

International Fee Students

Depending on your residency history, if you’re a student from the EU, other EEA or a Swiss national, with settled or pre-settled status under the EU Settlement Scheme, you’ll normally pay the ‘Home’ tuition fee rate and may be eligible for Student Finance England support.

EU students without settled or pre-settled status will normally be charged fees at the ‘International’ rate and will not be eligible for Student Finance England support.

If you are unsure of your fee status, check out the latest guidance here.

As a general principle, you should expect the tuition fee to increase in each subsequent academic year of your course, subject to government regulations on fee increases and in line with inflation.

Read more about fees and funding

Scholarships

We support our EU and international students by providing a generous range of Vice-Chancellor's automatic and merit-based scholarships. See our undergraduate scholarship page for more information.

Year abroad and additional costs

For programmes where you can spend a year on a work placement or studying abroad, you will receive a significant fee reduction for that year. 

Some of our degrees involve additional costs which are not covered by your tuition fees.

Scholarships

Find out more about:

• scholarships for UK, EU and international students
• Student Loans and Government financial support for UK and EU students

How to apply

Apply through UCAS

To apply for undergraduate study at Newcastle University, you must use the online application system managed by the Universities and Colleges Admissions Service (UCAS). All UK schools and colleges, and a small number of EU and international establishments, are registered with UCAS. You will need:

• the UCAS name and institution codes for Newcastle University (NEWC/N21)
• the UCAS code for the course you want to apply for
• the UCAS 'buzzword' for your school or college

If you are applying independently, or are applying from a school or college which is not registered to manage applications, you will still use the Apply system. You will not need a buzzword.

Apply through UCAS

Apply through an agent

International students often apply to us through an agent. Have a look at our recommended agents and get in touch with them.

Visit our International pages