Quantitative Finance : MSc
Master
In Lancaster
Description
-
Type
Master
-
Location
Lancaster
-
Duration
12 Months
-
Start date
Different dates available
This one-year interdisciplinary MSc programme delivered by the Management School and the Faculty of Science and Technology is designed to give you in-depth knowledge of the problems and issues in the financial sector, and enables you to develop advanced analytical, problem-solving and technical skills.
The programme gives you access to expertise and facilities in different but related areas, and offers a wide range of potential topics for your summer dissertation. Optional modules also allow you to develop particular specialisms.
You will acquire skills in data and financial analysis, forecasting, optimisation, and computer programming. You’ll also become proficient in various statistical and econometrics packages.
Facilities
Location
Start date
Start date
About this course
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
Reviews
Subjects
- Quantitative Finance
- Finance
- Forecasting
- Financial
- Financial Training
- Programming
- Stochastic
- Financial Stochastic
- Economic Applications
- Financial and Economic
Course programme
You will study a range of modules as part of your course, some examples of which are listed below.
Core
- Financial Stochastic Processes
- Statistical Methods for Financial and Economic Applications
- Spreadsheet Modelling for Quantitative Finance
- Foundations of Financial Markets
- Dissertation
- Quantitative Finance in Practice
Optional
- Optimisation and Heuristics
- Forecasting
- 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.
Additional information
Quantitative Finance : MSc