• Postgraduate

Mathematics and Statistics MSc

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Overview

Overview

Spanning subjects across pure, applied mathematics and statistics, this MSc Mathematics and Statistics course provides a unique opportunity for you to develop specialist skills to launch a career in a rapidly evolving job market with high demand for data and numeracy experts. 

Our Masters course also allows you to further your postgraduate credentials in an advanced scientific and numerical subject.

During your one-year studies, you will gain strong skills in topics such as Machine Learning, Mathematical and Stochastic Modelling, and Symmetry Techniques.

Taught by expert academics in their respective fields, you will develop exceptional analytical and computational skills while in your final semester, you will also be able to undertake a research project under the supervision of our research specialists.

The common theme amongst the breadth of topics taught in this degree is a strong focus on:

  • computation
  • analysis
  • modelling (in applied mathematics and statistics)
  • data presentation.

These are central skills that are highly valued by employers across industry, government, charities, and academia.

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Select your desired study option, then pick a start date to see relevant course information:

Study options:
We support flexible study by offering some of our courses part-time or via distance learning. To give you real world experience before you graduate, we also offer some courses with a placement or internship. All available options are listed here. Your choices may affect some details of your course, such as the duration and cost per year. Please re-check the details on this page if you change your selection.

Start date:

If your desired start date is not available, try selecting a different study option.

Why study Mathematics and Statistics with us?

Why study Mathematics and Statistics with us?

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A collage of students

What our students say…

UWL has truly state-of-the-art facilities. I feel like I'm learning something new every day.

Nicolas Gutierrez

The lecturers are fantastic and I don't think I would get as many work experience opportunities at any other university.

Harry Poulter
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Course detail & modules

Course detail & modules

The job market for mathematicians and statisticians has changed over the last decade, with the emergence of data science.

Adding to traditional areas, such as education, banking and insurance, the demand for individuals with strong mathematical, statistical and data-presenting skills has never been higher.

Our MSc in Mathematics and Statistics stands out by covering topics from both pure and applied mathematics, as well as statistics and data science.

With a strong focus on computational skills, problem-solving and scientific presentation, successful completion of this degree offers the perfect starting point for a career in an increasingly data-driven society.

If your interest is in academia, this degree will also be a perfect starting point for our PhD course in Mathematics.

With this Masters course, based at our School of Computing and Engineering, you will gain a strong sense of interdisciplinarity from working with computer scientists, engineers, as well as pure and applied mathematicians.

This reflects the way that most technical teams are nowadays structured in industry, government, and academia.

In your final semester, you will be able to specialise further in a research topic of your own choice. Under the supervision of our expert academics, you will undertake a research project, gaining valuable skills in independent research and scientific communication.

Skills gained from this degree:
  • Collecting, analysing, and presenting data to support a case
  • Understanding and mastering of popular machine learning techniques
  • Ability to apply symmetry considerations to find explicit solutions to non-linear problems
  • Perform mathematical and statistical modelling to address complex problems
  • High level of technical aptitude
  • Scientific communication
  • Interdisciplinarity from collaborating with computer scientists and engineers.

Compulsory modules

  • Machine Learning

    This module is intended to cover fundamental theory and algorithms of machine learning, as well as recent research topics.

    Machine learning is an application of artificial intelligence that provides systems with the ability to automatically learn and improve from experience without being explicitly programmed.

    Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves.

  • Mathematics of Signal Processing

    The Mathematics of Signal Processing module introduces you to advanced mathematical methods for analysing and processing signals and systems.

    The module will provide the basics of signal and systems theory, including the concepts of signal dimensionality, analogue and digital domains, main properties and applications. Matlab software will be introduced and taught as a tool for exploring the various theoretical, analytical and experimental aspects of the syllabus.

  • Topics in Probability and Stochastic Processes

    Weekly sessions will include one lecture and one seminar. During seminar sessions, you will work independently to apply theoretical concepts to problem-solving.

    The module includes the following topics:

    • Probability theory
    • Random walk
    • Markov chain
    • Poisson process
    • Birth-Death process
    • Renewal theory
    • Brownian motion. 

  • Statistical Data Analytics

    The module aims to provide a balanced view of the theory and practice on big data analytics, allowing you to develop a variety of big data analytics knowledge and skills.

  • Mathematical Methods and Modelling

    The mathematical methods introduced in the module will be to model and interpret problems in the real-world context, in natural and/or social sciences covering some of the following: predator-prey models, the Lotka-Volterra equations, the transfer of heat and finance.

  • Lie Groups, Lie Algebras and Symmetry Techniques

    This module aims to introduce geometry on matrix groups from the linear algebra perspective. We will use this framework to provide explicit constructions of so-called Einstein metrics and to give classifications for other geometric structures, in low dimensions.

  • Dissertation in Mathematics and Statistics

    Under the guidance of an expert academic supervisor, you will investigate in depth a mathematical or statistical topic.

Entry requirements

Entry requirements

The minimum requirement is an Honours degree (2:2 or above) from a UK University or equivalent in Mathematics or Statistics or any other relevant STEM subject with substantial mathematical content.

It is not anticipated that any special prerequisites are required for the proposed modules, beyond the standard basic curricula for the degrees specified above.

6.5 IELTS or above

You need to meet our English language requirement of 6.5 overall score for IELTS, with a minimum of 5.5 for each of the 4 individual components (Reading, Writing, Speaking and Listening). Visit our English language requirements page for information on other English language tests we accept.

You also need academic qualifications at the same level as UK applicants. In some countries where teaching is in English, we may accept local qualifications. Check for local equivalents.

We offer pre-sessional English language courses if you do not meet these requirements. Find out more about our English Language courses.

Fees & funding

Fees & funding

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If your course runs for two years or more, you will need to pay the fee for each academic year at the start of that year. If your course runs for less than two years, the cost above is for your full course and you will need to pay the full fee upfront. Government regulation does affect your fees, so what you pay may go up in future. For example, government regulation around future inflation may increase your course fees.

If no fee is shown above then the fees for this course are not available yet. Please check again later for updates.

Funding your studies

A range of loans, bursaries and scholarships are available to help you fund your studies.

If you are studying a Masters course you may be eligible to apply for a Postgraduate Loan, this may help contribute towards your course fees and living costs.

Additional funding is available to some types of students, such as disabled students. 

Within the university, we offer a range of scholarships and bursaries. View full details including conditions and eligibility.

Help with funding
{{ formatCurrencyValue(currentVariantData.field_p_cv_int_main_fee.name) }} per year*

If your course runs for two years or more, you will need to pay the fee for each academic year at the start of that year. If your course runs for less than two years, the cost above is for your full course and you will need to pay the full fee upfront. Government regulation does affect your fees, so what you pay may go up in future. For example, government regulation around future inflation may increase your course fees.

If no fee is shown above then the fees for this course are not available yet. Please check again later for updates.

International students - funding your studies

We offer scholarships for international students including International Ambassador Scholarships. 

Further information about funding and financial support for international students is available from the UK Council for International Student Affairs.

 

Financial support for international students
Teaching staff

Teaching staff

Shihan Miah is wearing a blue suit with a white shirt

Dr Shihan Miah

Prior to joining University of West London in February 2021, I have worked at various national and international universities, including Newcastle University London, Queen Mary University of London, Shahjalal University of Science and Technology, in Bangladesh and Rajshahi University of Engineering and Technology, in Bangladesh.

Prior to joining University of West London in February 2021, I have worked at various national and international universities, including Newcastle University London, Queen Mary University of London, Shahjalal University of Science and Technology, in Bangladesh and Rajshahi University of Engineering and Technology, in Bangladesh.

Study & career progression

Study & career progression

hands of person working on mathematical equations on a electronic tablet

Career roles the course may lead to include:

  • Data Scientist
  • Operational Analyst
  • Chartered Mathematician
  • Chartered Statistician
  • Research Scientist.

After completing the course, you may also choose to specialise or undertake further study, including in our PhD in Mathematics.

How to apply

How to apply

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Important notes for applicants

Disclaimer

*Modern universities - defined as higher education institutions that were granted university status in, and subsequent to, 1992.

**The National Student Survey 2023 and 2024 - Average of answers to all questions by registered student population. Excludes specialist institutions.

Testimonials - our students or former students provided all of our testimonials - often a student from the course but sometimes another student. For example, the testimonial often comes from another UWL student when the course is new.

Optional modules - where optional modules are offered they will run subject to staff availability and viable student numbers opting to take the module.

Videos - all videos on our course pages were accurate at the time of filming. In some cases a new Course Leader has joined the University since the video was filmed.

Availability of placements - if you choose a course with placement/internship route we would like to advise you that if a placement/internship opportunity does not arise when you are expected to undertake the placement then the University will automatically transfer you to the non-internship route, this is to ensure you are still successful in being awarded a degree.