This MSc programme, which has been designed in conjunction with leading risk professionals, aims to meet the growing demand for professionals who are highly skilled in quantitative risk management. Students gain core competencies in risk analysis and have the opportunity to tailor the programme to their own interests and needs through the wide variety of options available.
Students will be educated to an advanced level in programming and computing and will gain mathematical, statistical and computational modelling skills. They will have a clear appreciation of different types of risk within the industry, and of the managerial and psychological issues related to risk control.
Students undertake modules to the value of 180 credits.
The programme consists of four core modules (60 credits), four options (60 credits) and the research dissertation (60 credits). A Postgraduate Diploma will be offered to the students that have completed 8 taught modules (120 UCL credits). A Postgraduate Certificate will be offered to the students that have completed 4 taught modules (60 UCL credits).
Core modules -Financial Data and Statistics -Market Risk, Measures and Portfolio Theory -Financial Engineering -Stochastic Processes for Finance
Optional modules - four modules must be chosen from the following list: -Applied Computational Finance -Asset Pricing in Continuous Time -Equities, Foreign Exchange and Commodities Modelling -Financial Institutions and Markets -Forecasting -Networks and Systemic Risk -Numerical Analysis for Finance -Operational Risk Measurement for Financial Institutions -Quantitative Modelling of Operational Risk and Insurance Analytics -Market Microstructure -Compliance, Risk and Regulation
Dissertation/report Students undertake modelling, research and data analysis which takes place over the summer placement. This forms the basis of the 10,000-word dissertation.
Teaching and learning The programme is delivered through a combination of lectures, seminars, tutorials and project work. Modules are assessed by written papers and/or coursework. The research project is assessed by a written report and (optional) oral examination.
Placement Students undertake a summer work placement in an industry environment organised by the department.
Many students have gone on to careers in financial services in the City of London or in their home countries; a number of graduates have proceeded to PhD-level study.
Employability Students acquire mathematical, statistical and computational skills which are highly sought after by the financial industry to assess, quantify, model, simulate and edge risk.
Why study this degree at UCL?
The Bank of England (BoE), the Financial Conduct Authority (FCA) and the financial services industry place great emphasis on raising the level of quantitative analytics used in risk management and compliance. UCL, in collaboration with the BoE/FCA, aims to set a new benchmark in this area, based on training students to become risk professionals who are good scientists in the area of risk management.
UCL Computer Science is recognised as a world leader in teaching and research. Our Master's programmes have some of the highest employment rates and starting salaries, with graduates entering a wide variety of industries.
We take an experimental approach to our subject, enjoy the challenge and opportunity of entrepreneurial partnerships and place a high value on our extensive range of industrial collaborations.
Selection criteria: The bursary will be awarded based on financial need only as determined by the Student Funding Office.Value, Benefits and Duration: - The value of the bursary is £15,000. The payment is to be applied to tuition fees in the first instance, with any remainder being paid to the successful applicant towards maintenance in termly instalments. - The bursary is tenable for one year only. - The bursary may not be held alongside other tuition fee only awards.
Value of Scholarship(s)
Applicants must be: - prospective full-time UK Master's students who are undertaking a one-year programme of study in the Faculties of the Built Environment, Engineering Sciences or Mathematical & Physical Sciences (BEAMS) in 2015/16 - currently holding a first-class Bachelor's degree; and - in financial need.
A minimum of an upper second class UK Bachelor's degree, in a relevant discipline, or an overseas qualification of an equivalent standard, with a strong quantitative component evidenced by good performance (higher than 60%) in relevant mathematics, statistics or computation options.
Recipient: University College London
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