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Lancaster University: Quantitative Finance
| Institution | Lancaster University View institution profile |
|---|---|
| Department | Economics |
| Web | www.lancaster.ac.uk |
| lumspgadmissions@lancaster.ac.uk | |
| Telephone | 01524 510733 |
| Study type | Taught |
MSc
Summary
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.
| Level | RQF Level 7 |
|---|---|
| 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. We normally require an IELTS (Academic) Test with an overall score of at least 7.0, and a minimum of 6.0 in each element of the test. We also consider other English language qualifications. |
| Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Summary
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.
| Level | RQF Level 7 |
|---|---|
| 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. |
| Location | Main Site Admissions Bailrigg Lancaster LA1 4YW |
Lancaster University
The University
Lancaster University is home to a dynamic postgraduate community and offers a wealth of both taught and research study options across a wide range of subject areas. Studying at Lancaster is all about broadening your horizons, finding new perspectives and discovering new experiences. By living and studying with students and staff from over 130 countries students join a global community and have the opportunity to make international connections.
We are proud to be highly ranked in three major UK league tables and we are also climbing in world rankings. We are now placed 122nd in …
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