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  • DeadlineStudy Details:

    MSc 1 year, full-time

Course Description

In the world of finance, focusing on risk is just as important as focusing on return. We’ll equip you with skills in risk management techniques, quantitative and financial analysis, and programming – exactly what you need to work in the financial industry.

The MSc in Financial Risk Management is geared towards your professional development and will provide you with a thorough training in risk management, portfolio management, investment analysis and finance. The degree provides an excellent preparation for employment within the finance industry, particularly in an analytical or risk management role. We are also an Academic Partner of The Global Association of Risk Professionals (GARP). Accreditation by GARP ensures that this course will prepare you for the Financial Risk Management (FRM) professional exams and give you the skills you need to succeed in your career.

You will develop a range of skills in quantitative analysis, including mathematical techniques, econometrics and programming. The dissertation gives you the opportunity to conduct industry focused research, relevant to your future employment.

As well as gaining a thorough insight into financial risk management, the course will equip you with a command of advanced analytical techniques, computing and research methods for problem-solving and the critical evaluation of economic arguments.

To help you develop the skills that leading employers ask for, and let you see how traders work, we have 12 Bloomberg terminals in the University Library.

Assessment method

You will be taught through a combination of lectures, seminars, classes and computer practicals. You will be supported throughout your studies by department staff who are also available for private supervision.

Your course modules will generally be assessed by a combination of exams and coursework projects. Some modules are assessed by demonstrated skills in computing or by seminar presentation where this is appropriate.

Entry Requirements

A good second class honours degree or equivalent from a recognised university with some mathematical or statistical content.

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Fees

For fees and funding options, please visit website to find out more.

Programme Funding

There are a number of possible sources of funding: loans and grants, bursaries and scholarships.

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