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Financial Mathematics MSc

University of Leeds

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Course options

  • Qualification

    MSc - Master of Science

  • Location

    University of Leeds

  • Study mode

    Full time

  • Start date

    27-SEP-21

  • Duration

    12 months

Course summary

Overview

This degree provides you with knowledge of advanced finance concepts, whilst developing your quantitative, mathematical and research skills.

Taught by experienced academics based in both Leeds University Business School and the School of Mathematics, you’ll cover key topics including financial derivative pricing, discrete and continuous time models, risk management and portfolio optimisation, as well as statistical and machine learning methods for finance.

You will be equipped with a rare combination of mathematical skills and the latest business finance knowledge, which is highly sought after in the financial sector by banks, investment and consultancy companies. It’s also excellent preparation if you’re interested in pursuing further academic research.

This course is ideal if you’ve previously studied finance, economics, mathematics, physics or computing, and are interested in applying your skills to financial markets.

Learning and teaching

We use a variety of teaching and learning methods to help you make the most of your studies. These will include lectures, seminars, workshops, online learning and tutorials. Independent study is also vital for this course allowing you to prepare for taught classes and sharpen your own research and critical skills.

In addition to the assessed modules and research dissertation, you benefit from professional training activities and employability workshops. Thanks to our links with major companies across the business world, you can also gain a practical understanding of key issues.

Recent activities have included CV building and interview sessions, professional risk management workshops and commercial awareness events. For example, students have developed their knowledge of financial markets through a one-week trading simulation.

On this course you’ll be taught by our expert academics, from lecturers through to professors. You may also be taught by industry professionals with years of experience, as well as trained postgraduate researchers, connecting you to some of the brightest minds on campus.

Assessment

Assessment methods emphasise not just knowledge, but essential skills development too. They include formal exams, group projects, reports, computer simulation exercises, essays and written assignments, group and individual presentations.

This diversity enables you to develop a broad range of skills as preparation for professional life.

Career opportunities

You have various opportunities open to you as a Financial Mathematics graduate, including: quantitative analysis, risk management, investment banking, financial consultancy, insurance, accounting and academia.

Previous graduates have gone on to secure employment with Allianz (London), AstraZeneca, Barclays, Cathay Life Insurance, CITIC Group, Commerzbank, Deloitte, First Direct, Gaz de France, HSBC, KPMG, Moody’s, PricewaterhouseCoopers, Royal Bank of Scotland, RSA and UK Government Actuary’s Department.

Tuition fees

Students living in United States
(international fees)

£ 29,250per year

Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.

University information

University of Leeds

  • University League Table

    16th

  • Campus address

    University of Leeds, Woodhouse Lane, Leeds, Leeds, LS2 9JT, England

A global community, the university’s staff and students come from over 170 countries. There will be chances to meet and work with people from across the world.
The university is continually investing in its campus, from new laboratories and lecture theatres to one of the most impressive libraries in the UK.
With a history of welcoming international students for over 100 years, students can be sure of experienced help throughout their time at Leeds.

Subject rankings

  • Subject ranking

    3rd out of 103 1

    21st out of 72

  • Entry standards

    / Max 220
    176 80%

    6th

    4
  • Graduate prospects

    / Max 100
    87 87%

    21st

  • Student satisfaction

    / Max 5
    4.51 90%

    3rd

  • Entry standards

    / Max 236
    169 71%

    18th

    4
  • Graduate prospects

    / Max 100
    81 81%

    26th

    1
  • Student satisfaction

    / Max 5
    3.97 79%

    57th

    3

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