Taught course

Quantitative Finance

Institution
Lancaster University · Management School
Qualifications
MSc

Entry requirements

2:1 Hons degree (UK or equivalent) in a Numerate subject such as Physics, Mathematics, Statistics, Management Science, Engineering. Familiarity at undergraduate level with topics such as probability and statistics, calculus and linear algebra is essential.

It is recommended for your previous studies to have covered the following modules: Maths – Calculus, Probability, Statistics, Linear Algebra (Matrices); Physics, Econometrics, Game Theory, Risk Theory, Operations Research, Complex Functions, Stochastic Processes, Signal Processing, Actuarial Science, Simulation, Computer Science and Engineering.

Months of entry

October

Course content

Large investment banks such as HSBC and Barclays need people who can work on investment strategies and who can mathematically deduce how risky they are. This course is designed to give quantitative students a foothold in this financial world with the advanced, specialist skills that employers are seeking.

If you have a high level of mathematical ability, a background in a subject such as maths, engineering, physics or another highly quantitative subject and wish to move into finance, this could be the course for you.

Unlike other universities, we teach quantitative finance across four departments of Economics, Mathematics, Management Science, and Accounting and Finance. This means you are taught by specialists in each field, and the faculty member with the most quantitative interests in each department. We also limit our class sizes to deliver a quality teaching experience.

You will learn from your peers as you join Masters’ students from other disciplines such as Accounting and Finance, Management Science, Mathematics or Economics for each module.

Graduates of this course leave with a complete toolkit of skills, from big data mining techniques to Python programming. We also offer modules in Python Programming, Stochastic Calculus, Financial Econometrics and Market Risk Forecasting and Control.

As a LUMS student, you will have the chance to work with our careers team and access our global alumni network. Many of our graduates secure roles with high potential earnings. Recent graduates have moved on to work at organisations such as UBS, Credit Suisse and First Derivatives PLC. This course is also an excellent foundation if you are aiming for a PhD.

Information for international students

Details of entry requirements for international students can be found here: Grade Equivalencies

Proof of english language is required from non-native english speakers. We require IELTS with an overall score of 7.0, with no less than 6.0 in any element, or an approved equivalent.

If your score is below our requirements, we may consider you for one of our pre-sessional english language programmes.

Fees and funding

UK students
£16,500
International students
£23,000

Learn more at the fees and funding page.

Qualification, course duration and attendance options

  • MSc
    full time
    12 months
    • Campus-based learningis available for this qualification

Course contact details

Name
LUMS Course Enquiries
Email
lums@lancaster.ac.uk
Phone
+44 (0)1524 592938