Skip to main content
School of Mathematics and Computer Science

Mathematics

MSc Full-time 12 months, Part-time 2 years

This course enables you to further your mathematical knowledge in a broad range of areas of pure and applied mathematics and statistics.

This course enables you to further your mathematical knowledge in a broad range of areas of pure and applied mathematics and statistics.

  • Institute Code W75
  • UCAS Code
  • Entry Requirements View
  • Fees View
  • Course Specifications View
  • Start Date(s) 15 February 2021, 26 October 2020, 19 October 2020
  • Award MSc
  • Study Mode Full-time, Part-time
  • Course Length Full-time (12 months), Part-time (2 years)
  • Campus Location University of Wolverhampton, Wolverhampton City Campus
  • School School of Mathematics and Computer Science

Why choose this course?

This course enables you to further your mathematical knowledge in a broad range of areas of pure and applied mathematics and statistics.  Material covered includes mathematical modelling (say of disease transmission and population dynamics), perturbation theory, representation theory, cybermetrics and various areas of statistics and financial mathematics.  Your dissertation can be undertaken in any one of a number of different areas of mathematics, and will be supervised by a member of the academic staff.

Mathematicians are warmly welcomed in industry, business and commerce for their analytical ability and logical approach to problem solving.  Choosing this course will enhance your prospects of securing relevant employment.  This course is also suitable if you are planning a career in teaching mathematics or are already a qualified teacher seeking to improve your promotion prospects.  Successful completion of this course may also open up opportunities to study for a doctorate level course.

 

What happens on the course?

  • Mathematical Modelling (e.g. disease transmission, population dynamics)
  • Financial Mathematics (e.g. utility theory, portfolio theory, micro-economics)
  • Statistics (e.g. Markov chains, Monte Carlo Sampling Methods, Time Series Analysis)
  • Statistical Cybermetrics (e.g. Search engine evaluation, hyperlink network analysis, web issue analysis)
  • Advanced Topics in Mathematics (e.g. Perturbation Theory and Representation Theory)
  • Research Methods in Mathematics
  • Mathematics Dissertation (can be an extension of a topic covered in modules, or a topic of your own choosing).

 

Course Modules

Potential Career Paths

Students will have developed advanced technical skills in mathematics and statistics together with an ability to critically analyse and evaluate complex problems.  These skills should equip students to enter careers in a variety of areas, including for example operational research, statistics, information analysis, financial advising, actuarial work and accountancy. There is a shortage of mathematics-related skills both nationally and regionally, and in particular there is a recognised severe shortage of qualified mathematics teachers.  Hence the qualification that this course confers will enhance the employability of its graduates.

 

 

Additional Information

Everything you need to know about this course!

The Mathematics department includes a team of staff with research pedigree in a number of fields, most notably that of statistical cybermetrics, led by a professor who has been consistently recognised as a leading international authority on the subject for many years.

We pride ourselves on the academic support and guidance given by our friendly and approachable staff.  Students in the department have shown their appreciation for this by the exceptionally high ratings they have given their course in the National Student Survey in recent years.

 

Within this course, you will learn how to apply knowledge of mathematics and statistics with particular reference to applications in other subject areas (e.g. epidemiology, business and finance, and social media).

You will gain experience in the use of specialist software used widely by professionals in industry and research.

You will gain the ability to review, analyse and evaluate research findings in mathematical literature, such as journal articles, in a professional manner.

 

Location Mode Fee Year
Home/EU Full-time £6400 per year 2020-21
Home/EU Part-time £3200 per year 2020-21
International Full-time £13350 per year 2020-21

These fees relate to new entrants only for the academic year indicated for entry onto the course, any subsequent years study may be subject to an annual increase, usually in line with inflation.

2020 Entry

A lower second honours degree in mathematics or equivalent in a related subject.

A Postgraduate Certificate in mathematics or equivalent with a minimum of grade C in all modules.

International Applicants

Your qualifications need to be deemed equivalent to the above entry requirements.

Postgraduate Loan (UK or EU national):

You may be able to get a postgraduate student loan from Student Finance England of up to £11,222 to help pay for a Master’s degree. Applications are made through Student Finance England and more information on the regulations and eligibility criteria can be found at gov.uk or here

* Any RPL will invalidate your eligibility as you must study a minimum of 180 credits

EU students applying for the 2020/21 academic year:

The UK Government has confirmed that EU students will continue to be eligible for 'home fee status' for entry in September 2020, and will continue to have access to financial support available via student loans for the duration of their course. For more information take a look at the gov.uk website.


Postgraduate Loyalty Discount:

You can get 20% discount on a taught postgraduate course if you’re a University of Wolverhampton Graduate.

The University offers a generous 20% Loyalty Discount to students progressing from an undergraduate programme to a taught postgraduate programme, where both courses are University of Wolverhampton Awards.

There is no time limit on how long ago you completed your degree as long as this is your first Masters level qualification.

The discount applies to the first year of enrolment only. Students who receive a loyalty discount are not entitled to any further tuition discount or bursary. For full terms and conditions click here.


Self-funded:

If you are paying for the fees yourself then the fees can be paid in 3 instalments: November, January and April. More information can be found by clicking here.


Sponsored - Your employer, embassy or organisation can pay for your Tuition fees:

Your employer, embassy or organisation agrees to pay all or part of your tuition fees; the University will refer to them as your sponsor and will invoice them for the appropriate amount.

We must receive notification of sponsorship in writing as soon as possible, and before enrolment, confirming that the sponsor will pay your tuition fees.


Financial Hardship:

Students can apply to the Dennis Turner Opportunity Fund for help with course related costs however this cannot be used for fees or to cover general living costs.


Charitable Funding:

You might also want to explore the possibility of funding from charitable trusts; please see the following websites Association of Charitable Foundations, Directory of Social Change or Family Action. Most charities and trust funds offer limited bursaries targeted to specific groups of students so you will need to research whether any of them are relevant to your situation.


You can find more information on the University’s Funding, cost, fee and support pages.

Telephone

01902 32 22 22

Email

enquiries@wlv.ac.uk

Online

Order a prospectus