Quantitative Finance MSc - 2019 Entry
Full time 12 Month(s)
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.
You will study a range of modules as part of your course, some examples of which are listed below.
- Optimisation and Heuristics
- Financial Econometrics
- Introduction to Intelligent Data Analysis (Data Mining)
- International Money and Finance
- Assessing financial risk: Extreme Value Methods
- Professional Ethics: Standards in Finance and Accounting Practice
- Advanced Investment Management
- Derivatives Pricing
- Market Risk Forecasting and Control
- Stochastic Calculus for Finance
- Behavioural Finance
- Introduction to Python Programming
Information contained on the website with respect to modules is correct at the time of publication, but changes may be necessary, for example as a result of student feedback, Professional Statutory and Regulatory Bodies' (PSRB) requirements, staff changes, and new research.
Entry requirements: 2:1 (UK Hons) degree or equivalent in 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.
If you have studied outside of the UK, you can check your qualification here: International Qualifications
IELTS: Overall score of at least 7.0, with no individual element below 6.0
We consider tests from other providers, which can be found here: English language requirements
If your score is below our requirements we may consider you for one of our pre-sessional English language programmes:
10 week - Overall score of at least 6.0, with no individual element below 5.5
For details of eligibility see: Pre-sessional programmes
4 week - Overall score of at least 6.5, with no individual element below 6.0
Further information is available at English for Academic Purposes
Funding: All applicants should consult our information on Fees and Funding.
Further information: MSc Quantitative Finance
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