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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) 21 September 2020
  • Award MSc
  • Study Mode Full-time, Part-time
  • Course Length Full-time (12 months), Part-time (2 years)
  • Campus Location 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 £6250 per year 2019-20
Home/EU Full-time £6400 per year 2020-21
Home/EU Part-time £3125 per year 2019-20
Home/EU Part-time £3200 per year 2020-21
International Full-time £13000 per year 2019-20
International Full-time £13350 per year 2020-21

These fees are applicable for new entrants in 2019/20. Fees are for the academic year only, any subsequent years 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.

Charitable Funding: You might also want to explore the possibility of funding from charitable trusts; please see the following websites www.acf.org.ukwww.dsc.org.uk/fundingwebsites or www.family-action.org.uk. 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.

University Postgraduate Loyalty Discount: The University also offers a postgraduate loyalty discount (https://www.wlv.ac.uk/study-here/money-matters/financial-support/postgraduate-study/postgraduate-loyalty-discount/): If you have completed an undergraduate degree at the University of Wolverhampton, you may be eligible for a 20% discount on the first year of a taught postgraduate programme.

Financial Hardship: Students can apply to the Dennis Turner Opportunity Fund (https://www.wlv.ac.uk/study-here/money-matters/financial-support/dennis-turner-opportunity-fund/) for help with course related costs however this cannot be used for fees or to cover general living costs.

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 at www.wlv.ac.uk/howtopay

Telephone

01902 32 22 22

Email

enquiries@wlv.ac.uk

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