- Postgraduate
Mathematics and Statistics MSc
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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Why study Mathematics and Statistics with us?
What our students say…
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
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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.
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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.
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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.
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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.
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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.
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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.
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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
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.
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
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.
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.
Teaching staff
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
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
You can apply online at any time by following the link below.
Our application form will ask you for some information about:
- what you want to study
- your previous qualifications or experience
- your references
- how we can contact you.
Want to ask us a question first? We would love to hear from you. Contact us free on:
- 0800 036 8888
- courses@uwl.ac.uk
Apply for this course
Next steps after making your application
We aim to make a decision on your application as quickly as we can. If we need any more information about your qualifications, we will be in touch.
In the meantime, come and visit us and find out more about what studying at UWL is like. Sign up for an open day or join a campus tour.
Visit us and see for yourself
Talk to our tutors and find out about our courses and facilities at our next open day or join a campus tour.
We're here to help
Any questions about a course or studying at UWL? We're here to help - call us on 0800 036 8888 (option 2, Monday – Friday 10am-4pm) or email us on courses@uwl.ac.uk.
Our postgraduate prospectus
All of our courses in one place - download now or order a hard copy.
You can apply online at any time by following the link below.
Our application form will ask you for some information about:
- what you want to study
- your previous qualifications or experience
- your references
- your visa (if required)
- how we can contact you.
Want to ask us a question first? Our dedicated international students’ team would love to hear from you.
- email international@uwl.ac.uk to submit a question
Apply for this course
Next steps after making your application
We aim to make a decision on your application as quickly as we can. If we need any more information about your qualifications, we will be in touch.
In the meantime, come and visit us and find out more about what studying at UWL is like. Sign up for an open day or join a campus tour.
Visit us and see for yourself
Talk to our tutors and find out about our courses and facilities at our next open day or join a campus tour.
We're here to help
Any questions about a course or studying at UWL? We're here to help - call us on 0800 036 8888 (option 2, Monday – Friday 10am-4pm) or email us on courses@uwl.ac.uk.
Our postgraduate prospectus
All of our courses in one place - download now or order a hard copy.
Search for courses
Student life at UWL
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.