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Financial Computing

MSc ( 1 year Full-time / 2 years Part-time )

Overview

This unique programme provides numerate graduates with the requisite expertise for the development of a professional career in the profitable and intellectually exciting triangle formed by mathematics, technology and finance.

Financial institutions rely on a functional blend of Mathematics, Technology and Finance to develop, enhance and sustain their competitive edge. The financial industry is undergoing a second wave of technological transformation related in particular to¿: the establishment of electronic trading platforms; improved risk management and pricing accuracy; the high performance computing implications of expanding regulatory requirements.

As a result there is increasing demand for numerate and technologically capable personnel from a wide range of top employers including investment banks, hedge funds, financial software companies, brokerage firms and consultancy firms. Other business lines are now developing similar paradigms where numerate, technologically able personnel are part of business innovation and decision-making.

The Financial Computing MSc is run jointly by the School of Mathematical Sciences and the School of Electronic Engineering and Computer Science. It is aimed at science and engineering graduates with mathematical exposure and some experience in computer programming. The content of the programme is a combination of technology and financial mathematics. It contains modules related to up-to-the-minute industry challenges such as high performance and GPU development.

Why study with us?

  • Queen Mary is a member of the prestigious Russell Group of leading UK universities, combining world-class research and teaching excellence.
  • You will be taught by distinguished academics and experienced practitioners who blend advanced theory with practical applications.
  • You will study in recently refurbished MSc student offices, with state-of-the-art computers and software.
  • We are conveniently located in central London, in close proximity to the two world renowned financial districts of the City of London and Canary Wharf.

Structure

The MSc in Financial Computing is available to study full-time for one year, or part-time over two years.  There is also an option to take a two year "thick sandwich" programme with Industrial Experience: click here for more information.

The study programme consists of four compulsory and four elective modules. The modules offered by the School of Mathematical Sciences will provide a solid understanding of the principles of mathematical finance. The modules offered within the School of Electronic Engineering and Computer Science will focus on key aspects of technological implementation.

Structure

Semester A - Compulsory

Semester A - Elective

Choose any one from:

Semester B - Compulsory

Semester B - Elective

Choose any three from:

The Project

Each MSc Financial Computing student is required to complete a 60 credit project dissertation. A typical MSc project dissertation consists of about 30 word-processed pages (10,000 words), securely bound, covering a specific research-level topic in financial computing, usually requiring the student to understand, explain and elaborate on results from one or more journal articles and possibly to implement some industry quality code.

Study options

Full time study

You will study eight modules in total with an even split across semesters one and two. You will complete a 10,000 word dissertation/research project during semester three.

Full time study with Industrial Experience

You will study eight modules in total with an even split across semesters one and two. You will complete a 10,000 word dissertation/research project during semester three. Expert staff will support the arrangement of your industrial placement, which will be carried out in the second year of your programme and assessed through the completion of the Industrial Placement Project.

The industrial placement takes place from the September following the taught part of the MSc and is for a maximum of 12 months. It is a student's responsibility to secure their own placement, but the Placement Team will provide support. The Placement Team source and promote suitable opportunities, assist with applications, and with interview preparation.

The industrial placement consists of 8-12 months spent working with an appropriate employer in a role that relates directly to your field of study. The placement is currently undertaken after you have completed and passed the taught component of the degree and submitted your MSc project. The placement will provide you with the opportunity to apply the key technical knowledge and skills that you have learnt in your taught modules, and will enable you to gain a better understanding of your own abilities, aptitudes, attitudes and employment potential. The module is only open to students enrolled on a programme of study with integrated placement.

In the event that you are unable to secure a placement we will transfer you onto the 1 year FT taught programme without the Industrial Experience. This change will also apply to any student visa you hold at the time.

Click here to go to the course page for MSc Financial Computing with Industrial Experience.

Part time Study

Your programme is delivered across two academic years. You will study four modules in each year of the programme, with two modules per semester to balance your workload.

Our modules are assessed by a mixture of in-term assessment and final examinations. Examinations are held between late April and early June. Dissertations are evaluated in September. Successful completion of the MSc programme will result in the award of the MSc Financial Computing (possibly with Merit or with Distinction).

Entry requirements

The majority of our applicants will have an undergraduate degree with first class or upper second class honours (or international equivalent).  Offers will typically be made at 2.1 level (upper second class) or equivalent.  Students with a good lower second class degree may be considered on an individual basis.  In some cases your offer may include additional conditions, such as minimum grades in specified modules, in order to ensure that you are sufficiently qualified for our MSc programmes.

Students applying to this programme should have studied a subject with a substantial mathematical component at the undergraduate level.  We welcome those from a variety of relevant disciplines, including mathematics, statistics, physics, engineering, economics and computer science.

Students from outside of the UK help form a global community here at QMUL. For detailed country-specific entry requirements please visit the International section of the QMUL website. If your first language is not English, you must provide evidence of your English language proficiency. Non-native English speakers are required to have minimum of IELTS 6.5 or equivalent. Find out more about our English language entry requirements.  If you have not achieved the required English language level yet, you may be eligible to take a Pre-sessional English course, or continue to take English language tests in your country to reach the level needed. Visit: www.sllf.qmul.ac.uk/language-centre/presessionals

Learning and teaching

As a student at QMUL, you will play an active part in your acquisition of skills and knowledge. Teaching is by a mixture of formal lectures and small group seminars. The seminars are designed to generate informed discussion around set topics, and may involve student presentations, group exercise and role-play as well as open discussion. We take pride in the close and friendly working relationship we have with our students. You are assigned an Academic Adviser who will guide you in both academic and pastoral matters throughout your time at QMUL.

Independent study

For every hour spent in formal study you will be expected to complete a further five to six hours of independent study. Your individual study time could be spent preparing for, or following up on formal study sessions, reading, producing written work, completing projects and revising for examinations.

The direction of your individual study will be guided by the formal study sessions you attend, along with your reading lists and assignments. However, we expect you to demonstrate an active role in your own learning by reading widely and expanding your own knowledge, understanding and critical ability.

Independent study will foster in you the ability to identify your own learning needs and determine which areas you need to focus on to become proficient in your subject area. This is an important transferable skill for people who envisage going on to a research career in academia or elsewhere.

Assessment

Students are assessed by a combination of coursework and exams. A few modules are assessed by coursework only. If a module is assessed by means of coursework alone, this is usually in the form of a research project or dissertation, and the tutor project supervisor offers guidance and support in the researching and writing of this piece of assessment.

Each MSc Financial Computing student is required to complete a 60 credit project dissertation. A typical MSc project dissertation consists of about 30 word-processed pages (10,000 words), securely bound, covering a specific research-level topic in financial computing, usually requiring the student to understand, explain and elaborate on results from one or more journal articles and possibly to implement some industry quality code.

Student Support

The School of Mathematical Sciences is committed to supporting you through your studies and there is a wide range of support services available both in the School and within QMUL to assist you during your time here.

You will be assigned an Academic Advisor when you enrol with us who will usually stay with you during your time at QMUL. Your Academic Advisor can help to guide you through any academic issues, such as choosing which modules to study.

The School of Mathematical Sciences has a dedicated Student Support Officer to provide you with advice and guidance on any issues that are not primarily academic. The Student Support Officer oversees the i2 - Keepin' It Real initiative which exists to promote and support a positive student experience and is also able to direct you to appropriate QMUL support services. For more information about central student support services, please see Advice and Counselling.

Fees

Tuition fees for Home and EU students

2018/19 Academic Year

Full time £18,050
Part time £9,050

Tuition fees for International students

2018/19 Academic Year

Full time £20,900
Part time £10,450

Funding

There are a number of sources of funding available for Masters students.

These include a significant package of competitive Queen Mary University of London (QMUL) bursaries and scholarships in a range of subject areas, as well as external sources of funding.

Queen Mary bursaries and scholarships

We offer a range of bursaries and scholarships for Masters students including competitive scholarships, bursaries and awards, some of which are for applicants studying specific subjects.

Find out more about QMUL bursaries and scholarships.

Alternative sources of funding

Home/EU students can apply for a range of other funding, such as Professional and Career Development Loans, and Employer Sponsorship, depending on their circumstances and the specific programme of study.

Overseas students may be eligible to apply for a range of external scholarships and we also provide information about relevant funding providers in your home country on our country web pages.

Download our Postgraduate Funding Guide [PDF] for detailed information about postgraduate funding options for Home/EU students.

Read more about alternative sources of funding for Home/EU students and for Overseas students.

Tel: +44 (0)20 7882 5079
email bursaries@qmul.ac.uk

Other financial help on offer at Queen Mary

We offer one to one specialist support on all financial and welfare issues through our Advice and Counselling Service, which you can access as soon as you have applied for a place at Queen Mary.

Our Advice and Counselling Service also has lots of Student Advice Guides on all aspects of finance including:

Tel: +44 (0)20 7882 8717

Graduate employment

The staff involved in the MSc of Financial Computing have strong links and research collaborations with industrial partners including Citigroup, Nomura, Bank of England, Morgan Stanley, UBS, RBS, Lloyds, Moodys, IBM, HP, BBC, and Tech City IT start-ups. Several of these companies will be involved in the teaching activities, providing guest lectures, as well as business use cases for applying Financial Computing techniques. Additionally, several of the MSc projects offered to the students will be performed in collaboration with an industry partner, including summer placement opportunities.

The MSc in the Financial Computing programme will prepare students for a wide range of careers, especially in the banking and finance sector, consultancy, industry and commerce. The computing skills acquired throughout the programme are highly valued in the financial sector.

Queen Mary’s careers service is run by a team of dedicated and professional staff. They offer advice through drop-in sessions and in-depth interviews, and run an extensive programme of seminars covering topics such as: interview skills; how to deal with psychometric tests; and surviving assessment centres. You will also be able to use the College’s extensive Careers Library. To find out more, please visit www.careers.qmul.ac.uk

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