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Mathematics and Statistics at University of West London - UCAS

Course options

2025 - 2026
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Course summary

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 of 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. 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. 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.

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.

Fees and funding

Tuition fees

No fee information has been provided for this course

Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .

Additional fee information

No additional fees or cost information has been supplied for this course, please contact the provider directly.
Mathematics and Statistics at University of West London - UCAS