The MSc aims to develop students' modelling, mathematical and computational skills in applications to finance. It covers the most important technical and quantitative aspects of finance in regular use in banks and other financial institutions, from basic material to current research. Material on related subjects is included to enable students to make intellectual links between different topics. There is a substantial transfer of technology from applied mathematics, pure mathematics, statistics, computing and corporate finance.
By choosing relevant advanced modules and dissertation topics, students can apply their studies directly and concurrently to their areas of expertise at work. Suitable work projects can be approved as dissertation topics, supervised jointly by a member of the faculty and a qualified work colleague.
- Knowledge and Understanding
- Cognitive / Intellectual Skills
- Transferable / Key Skills
- Discipline-specific Practical Skills
- Formulation of suitable mathematical models for new problems
- Identification and implementation of accurate and stable computational methods
- Calibration of models to market data
- Assessment of the validity and limitations of models
Teaching and Learning Strategies
- Lectures, including some by guest experts
- Practical sessions
- Guided reading
- Course assignments
Most students will complete the 28 month (7 term) course in the following time frame:
- January Year 1 to September Year 1:
- January to June inclusive: Students attend 4 compulsory core modules, each of 5 days duration, for which attendance in Oxford is required, and complete related assignments at home afterwards
- September: examinations, for which attendance for 1 day in Oxford is required. Module 5, an advanced module usually starts the day after the day of examinations, so students who elect to take that module are spared unnecessary travel.
- September Year 1 to June Year 2
- Students select 3 out of 4 advanced modules, each of 4 days' duration, for which attendance in Oxford is required, and complete related assignments at home afterwards
- July Year 2 to April Year 3:
- Students work on their dissertations at home