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What will I learn?

The course achieves the ideal balance between financial and computational theory and methodology, thereby enabling graduates to critically analyse and develop financial decision-making and risk management tools but also understand specific quantitative models and strategies applied in financial markets.

Acquisition of the theoretical, analytical and practical skills needed to manage portfolios of equity, fixed income and derivative securities and develop the tools for managing corporate financial risk.

Assimilation of implementation methods for financial models using various programming languages and the application of critical evaluation techniques to the performance of models.

The ability to carry out independent research on the uses of financial models, their implementation and their limitations.

How will I benefit?

The course not only attracts graduates from a number of different backgrounds but can also be tailored to a wide variety of academic and professional objectives, providing an enviable array of career options upon graduation.

  1. A truly specialist preparation for a future career within the finance industry, in a variety of functions including fund management, investment banking, financial engineering and corporate treasury management.
  2. Exemption from Professional Risk Managers certification examinations (Level I and II exams), the global standard for the world's top financial risk professionals.
  3. In the summer term, students can choose from certain summer term modules, or a research project, or in a number of cases, from a limited number of possible internships. With any possible internship opportunity, students may have to go through a competitive process, including potential interviews. The last number of years two thirds of our students acquired internship placements for the summer semester.

Curriculum

The 11-month, full-time course covers a broad range of disciplines and skill sets, whilst the personal and professional development of each student is achieved through a defined series of actions and events.

Semester 1Semester 2Summer Term

Pathway A: Taught modules (choose 2 from the list below)

Pathway BApplied Investment Management (Internship)

Pathway CResearch Project

Note: option modules listed are indicative of what has been delivered in previous years. What is offered each academic year is subject to change.

The MSc Quantitative Finance programme is aimed at students with a background in an economics, finance or mathematics related discipline to prepare students for a specialist career in the financial services industry as a quantitative analyst or risk manager. The purpose of the programme is to provide mathematically talented students with the knowledge and capacity to be experts in financial decision making under uncertainty using financial economics, mathematics, statistics and computer technology skills (Purpose).  

The educational values of the programme are to provide students with the knowledge and capacity to: be experts in financial decision making under uncertainty using financial economics, mathematics and computer skills; be producers as well as informed users of financial models used to aid decision making; critically evaluate these financial models, understanding their uses as well as their limitations; appraise, evaluate and manage financial risk and return; and to manage portfolios of equity, fixed income, foreign exchange, derivative, commodities and energy securities. The programme is externally accredited by a major international risk management organization (education and subject/discipline/professional values).  

The learning environment consists of both theoretical and applied components. The theory in lectures is further enhanced with specific examples in small group tutorials. The applied projects covered in lectures are further developed as autonomous group or individual projects using state of art financial databases available in our data room. An internship option is also integrated into the programme (the nature of the learning environment for students).  

The programme uses teaching, learning and assessment approaches such as presentations, project work, decision making analysis, work placements, group work, case studies, examinations and includes many stakeholder groups and individuals in the design and delivery of the curriculum (key approaches to teaching, learning and assessment).

On successful completion of the programme students should be able to:

Programme Goal 1: Our graduates will be current in their knowledge of the theory and practice of quantitative finance and risk management.

Programme Goal 2: Our graduates will be effective communicators in current topics of quantitative finance and risk management.  

Programme Goal 3: Our graduates will be able to critically evaluate financial modelling issues and their relevance to finance and the wider economy.

Programme Goal 4: Our graduates will be able to comment critically on the relevance and impact of valuation, asset allocation and risk management methods to the wider economy.

Programme Goal 5: Our graduates will possess the ability to become effective business managers and engage in continuous learning throughout their career.

Critically assess financial theories with respect to their relevance and application in the financial industry (PG1).  

Employ financial economics, mathematics, statistics and computer technology skills needed for problem solving in quantitative finance (PG1).

Synthesise and summarise data, information and results from financial models and professionally communicate outcomes of the analysis & their recommendations to key stakeholders (PG2).

Select and use appropriate communication strategies (oral, written & visual) to communicate challenges in quantitative finance and to advance objectives to meet these challenges (PG2).

Undertake and present a detailed analysis of a core industry valuation/risk management situation in written and oral forms (PG3).  

Utilise relevant financial and economic information required as per project specifications, drawing on appropriate databases and literature (PG3).

Demonstrate an understanding of diverse business perspectives and the impact of financial models on the business environment (PG4). 

Appreciate the impact of ethical considerations on individual and collective financial decision making (PG4).  

Engage in collaborative learning by completing business projects and assignments in teams (PG5).  

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