The Advanced Master in Quantitative Finance offers prospective students a rich curriculum combining finance, statistics, econometrics, programming and mathematics. This Master guarantees a full coverage of financial disciplines, such as asset and derivative pricing, numerical methods and programming skills. This advanced course work is designed for students with a quantitative background, obtained either from recent education or through professional experience.
The main objective of this master is to train a new generation of quants. You will gain cutting-edge knowledge in quantitative finance and will learn how to apply it to real-life problems.
You will not only be exposed to up-to-date models, but you will also understand their advantages and limitations, both in theory and in practice.
By the end of the year, you will be able to:
• Become an analyst and/or manager in a quant group
• Price equities and bonds
• Construct and programme structured products
• Perform tail-risk analysis
• Extract information from massive databases
• Understand and trade in complex derivative products such as volatility derivatives
The obvious companies for such profiles are large financial institutions, private banking, and hedge funds, seeking to fulfil positions like quant team member, risk manager, quant analyst/risk modeller, asset liability manager, derivatives specialist, financial supervisor and product structure.
Geographically, job opportunities are not only concentrated to Europe, in particular London, Paris, Amsterdam, Frankfurt, and Zurich, but are extended to the rest of the world (e.g. Singapore, Hong Kong and New York).
However, to successfully grow in your professional life and make the right choices for your career, it is fundamental to define your goals and have the tools to achieve them. The Solvay Brussels School’s career service will help you in building your career thanks to its strong connection with the business sector and to its dynamic team who will accompany each participant into the professional world. From self-assessment to networking opportunities, our team will assist participants to realise their full potential. Through a full range of seminars, coaching sessions, workshops, events and other resources, we help our participants to discover the career path best suited to their personal fulfilment.
Interested? Visit http://am.solvay.edu/quantitative-finance/
Students develop an advanced knowledge of computational methods in finance, which is a prerequisite for a successful career in the financial industry within 'quant' teams. 'Quants' (development analysts) design and implement complex models and are sought after by banks, fund managers, insurance companies, hedge funds, and financial software and data providers.
This degree comprises advanced modules on quantitative and modelling skills, which are essential for 'quant' roles in trading research, regulation and risk. This applied MSc programme is distinctive in that it provides a solid mathematical and statistical foundation together with an education in advanced-level programming.
Students undertake modules to the value of 180 credits.
The programme consists of four core modules (60 credits), four optional modules (60 credits) and a dissertation (60 credits).
Students select 60 credits from optional modules.
Please note: the availability and delivery of optional modules may vary, depending on your selection.
With permission, a student may substitute up to two optional modules with electives. A list of acceptable elective modules is available on the Departmental page.
All students undertake an independent research project which culminates in a dissertation of about 10,000 words or 50 pages. Usually this will be undertaken during a summer placement in an industry environment arranged by the department.
Teaching and learning
The programme is delivered through a combination of lectures, tutorials, seminars, and project work. It comprises two terms of teaching, followed by examinations and a dissertation. Assessment is through coursework, unseen examinations and a dissertation.
Further information on modules and degree structure is available on the department website: Computational Finance MSc
This is a relatively new programme and therefore no specific information on graduate destinations is currently available. UCL Computer Science graduates typically find work in financial institutions such as Credit Suisse, JP Morgan, Morgan Stanley, and Deutsche Bank as financial analyst application developers, quant developers, and business managers. The University of Cambridge and UCL are among top further study destinations.
Our graduates are particularly valued as a result of the department's international reputation, strong links with industry, and ideal location close to the City of London. Graduates are especially sought after by leading finance companies and organisations.
UCL received the highest percentage (96%) for quality of research in Computer Science and Informatics in the UK's most recent Research Excellence Framework (REF2014).
UCL Computer Science hosts the Doctoral Training Centre in Financial Computing and Analytics, which is the only one of its kind in the UK.
UCL's central London location ideally places it close to one of the world's most important financial centres, with which UCL pioneers industrial/academic engagements. Students on the Computational Finance MSc will benefit from teaching input from City of London practitioners.
The Research Excellence Framework, or REF, is the system for assessing the quality of research in UK higher education institutions. The 2014 REF was carried out by the UK's higher education funding bodies, and the results used to allocate research funding from 2015/16.
The following REF score was awarded to the department: Computer Science
96% rated 4* (‘world-leading’) or 3* (‘internationally excellent’)
Learn more about the scope of UCL's research, and browse case studies, on our Research Impact website.
The objective of the Specialised Programme in Quantitative Finance is to train top level specialists able to advance in today’s global financial sector characterised by constant change and continuous innovation.
This 12-month programme has been developed to help graduates from engineering schools and universities, possessing a strong background in mathematics, computer science, physics and similar areas of expertise, launch their career in quantitative finance. After completing this specialised programme, graduates take up various positions like Risk Manager, Financial Engineer or ‘Quant’, Asset Manager, Fund Manager and others.
The academic courses include both the fundamentals of management as well as specialised courses like quantitative methods, economic and financial environments, life insurance and pension funds management. This academic part takes place in Paris and is complemented by a 6 month internship.
If you are looking to enter the international world of finance, and want to become part of a network of over 27,000 professionals around the globe, then the Specialised Programme in Quantitative Finance is the right programme for you!
The courses are taught by professors from emlyon business school and from other top higher education establishments as well as by professionals from the world of finance. What all these trainers have in common is their high technical level as demonstrated by their numerous publications in international reviews or their senior positions in the corporate world.
Spend the first semester at Lund University in Sweden
Students of the Specialised Programme in Quantitative Finance have the opportunity to spend their first semester (from mid-August to December) at Lund University in Sweden.
As exchange students, they will attend courses of Advanced Econometrics, Foundations of Finance, Continuous Time Finance and Empirical Finance , which are all part of the core courses of the MSc in Finance delivered by the school of Economics and Management of Lund University.
Lund University was founded in 1666 and is one of the largest, oldest and broadest universities in Scandinavia consistently ranked among the world’s top 100 universities. Lund University has an excellent academic reputation with a large number of visiting professors and international students. The School of Economics and Management is located at the Holger Crafoord Centre - a modern campus area seething with activity.
Should you be interested in this opportunity, please contact our admission services during the application process as you won’t be able to apply to this semester after August 1st.
Spend 3 months in Shanghai
emlyon business school Shanghai welcome the students of the Specialised Programme in Quantitative Finance who are the most motivated for 3 months, from April to July.
An experience that naturally makes your CV stand out, over the course of these three months you will learn about what makes business and finance in Asia tick as you study a variety of classes (The Financing of Innovation, Business Finance in Asia, Financial Mathematics for Bonds Markets, Life Insurance and Pensions, Advanced Corporate Finance, etc.) and meet alumni and experts.
From September 2016 onwards, the Specialised Programme in Quantitative Finance will take place in Paris, one of the top european financial centers.
The courses are given by professors from emlyon business school and other top higher education establishments as well as by professionals from the world of finance.
What all these trainers have in common is their high technical level as demonstrated by their publications in international reviews or by their senior positions in the corporate world.
emlyon business school is recognised as one of the top European management training institutions. The Specialised Programme in Quantitative Finance is certified by the label Conférence des Grandes Ecoles
What you will gain from this programme
Applicants for the Specialised Programme in Quantitative Finance share a strong desire to work in an international environment. This passion is mirrored in a programme designed to develop those skills that will be most useful for your future career. The Careers Services Department provides continual support in identifying your career goals and developing action plans to achieve them. The 'Professional Project' creates the ideal framework for you to work in small groups and analyse your own strengths and weaknesses, while expressing and validating your preferences towards the job environment. Wide-ranging co-operation with our global partner companies and the worldwide alumni network allows students to draw on a worldwide network of influential business contacts.
This programme welcomes recent graduates from engineering schools and universities, who have a strong background in mathematics, computer science, physics, etc… and who are looking for a career in quantitative finance. It is also aimed at students in economics and administration as well as at Business School graduates, as long as they have completed scientific courses such as econometrics, economic forecasting and/or quantitative finance.
If you would like to have the contact details of the right person to help you with any questions regarding the programme or the selection procedure, you can create your personal space and obtain full contact details on your emlyon business school dashboard.
"Fast-evolving financial markets constantly set new challenges while progress in quantitative tools and computer technology open up entirely new opportunities. Therefore, the finance industry needs people with deep knowledge of financial theory, mathematical tools and information technology as well as adequate methods of engineering and management tools. FE qualifies graduates to meet all this needs."
The Master Program in Financial Engineering provides innovative solutions of pricing, hedging, trading and portfolio management problems by employing advanced mathematical methods and computer technology. Graduates will be qualified to consider challenges in the financial sector from an engineer’s point of view and to develop and optimize innovative solutions on the basis of fundamental economic laws.
The content of the Master Program is divided into 10 modules:
5 Management Modules presents broader knowledge in management know-how and 5 Engineering Modules provides deeper knowledge in technological topics.