London School of Economics > Department of Statistics
The MSc Quantitative Methods for Risk Management – formerly known as MSc Risk and Stochastics – offers in-depth instruction in probabilistic, statistical, and computational methods to quantify risk arising from, but not limited to, economic, financial, and insurance applications.
This programme is LSE’s timely response to industry’s strong demand in experts with quantitative expertise in risk management, finance, insurance, and their interface.
- Deep Learning
- Financial Statistics
- Machine Learning and Data Mining
- Time Series
- The Mathematics of the Black and Scholes Theory
- Foundations of Interest Rate and Credit Risk Theory
- Quantifying Risk and Modelling Alternative Markets
- Stochastics for Derivatives Modelling
- Recent Developments in Finance and Insurance
- Distributed Computing for Big Data
- Insurance Risk
- Bayesian Machine Learning
- Independent Study
- Case Studies
- Problem Sets
- Written examinations
These lists are not intended to be exhaustive, and may be subject to change. You should check the course homepage for further details and the most up-to-date information.