The MSc in Statistics with Finance is accredited by the Royal Statistical Society (RSS) and is excellent preparation for careers in any field requiring a strong statistical background.
This programme trains students for careers using statistics in the financial services industry. You study the statistical modelling underpinning much modern financial engineering combined with a deep understanding of core statistical concepts. The programme includes modelling of financial time series, risk and multivariate techniques.
Knowledge and understanding
- Systematic understanding of probability and statistics and the range of principles involved.
- Awareness of links between different statistical concepts and methods.
- Advanced information technology skills relevant to statisticians.
- A comprehensive range of methods and techniques appropriate to statistics at the postgraduate level.
- The role of logical mathematical argument and deductive reasoning.
- Appreciation of particular subject areas to which statistics is applied, particularly finance, and the importance of the role of statistics in those areas.
- Appreciation of the use of Statistics in Finance and the probabilistic concepts involved.
- Ability to demonstrate a comprehensive understanding of the main body of statistical knowledge.
- Ability to demonstrate skill in calculation and manipulation of data.
- Ability to apply a range of statistical concepts and principles in various challenging contexts.
- Ability for logical argument.
- Ability to demonstrate skill in solving complex statistical problems using appropriate and advanced methods.
- Ability in relevant computer skills and usage.
- Ability to work with relatively little guidance.
- Ability to evaluate research work critically.
- Ability to demonstrate knowledge of advanced statistical concepts and topics, both explicitly and by applying them to the solution of problems.
- Ability to demonstrate knowledge of statistical modelling techniques commonly applied to finance.
- Ability to abstract the essentials of problems to facilitate statistical analysis and interpretation.
- Ability to present statistical analyses and draw conclusions with clarity and accuracy.
- Problem-solving skills; ability to work independently to solve problems involving qualitative or quantitative information.
- Communication skills, including the capacity to report to others on analyses undertaken.
- Computational skills.
- Information-retrieval skills involving a range of resources.
- Information technology skills including scientific word-processing.
- Time-management and organisational skills, as evidenced by the ability to plan and implement efficient and effective modes of working.
- Skills needed for continuing professional development.
- Practical experience of the application in a working environment of knowledge and skills gained through academic study.
- To give students the depth of technical appreciation and skills appropriate to masters' level students in Statistics.
- To equip students with a comprehensive and systematic understanding of theoretical and practical Statistics, and their uses in Finance.
- To develop students’ capacity for rigorous reasoning and precise expression.
- To develop students’ capabilities to formulate and solve problems relevant to Statistics.
- To develop in students appreciation of recent developments in Statistics, and of the links between the theory of Statistics and financial modelling (and other areas of application).
- To develop in students a logical, mathematical approach to solving problems.
- To develop in students an enhanced capacity for independent thought and work.
- To ensure students are competent in the use of information technology, and are familiar with computers, together with the relevant software.
- To provide students with opportunities to study advanced topics in Statistics, engage in research at some level, and develop communication and personal skills.
- To provide successful students with the depth of knowledge of the subject sufficient to enter a career as a professional statistician or appropriate career in quantitative finance.
- To provide a deep understanding of the use of Statistics in Finance and Financial Econometrics