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MSc Computational Trading

Course Description

The MSc Computational Trading programme allows students to bridge the gap between financial theory and work experience.

Our partnership with City-based Amplify Trading will enable you to gain hands-on experience of stock market analysis on a live trading platform. Amplify provides financial software used within the development programmes of leading investment banks including Bank of America, HSBC, Citigroup, Credit Suisse and Deutsche Bank. By the end of the programme you will be capable of trading effectively in equity, bond, commodity and foreign exchange markets and you will be ready to take up a role within leading institutions in the financial and commodity trading sector.

We focus on real time approaches to trading, including features of specific financial tools and the interaction of macroeconomic, financial, technical and behavioural drivers in financial markets. Our highly interactive teaching techniques include the use of Eviews Econometrics software, R programming language and specialised trading platform. You will engage with theoretical, applied and practical (hands on) learning.

We benefit from our close proximity to one of the world's largest financial centres, Canary Wharf, which lies just across the river. We work closely with the financial and professional services companies that are based there. Industry guest lecturers have included BBC, Bank of England, Barclays, Deutsche Bank, PricewaterhouseCoopers and many more.

Along with lectures and seminars students will be involved in additional activity, including; laboratory trading practical classes, supervised lab practical work; project supervision; demonstrations, workshops, and many more. The programme is run over a series of 9 weeks in total, each week is 35 hours long within the following months: January, February, March, April, September and an additional week in the months of May and June.

Find out more by directly contacting our teaching experts:

The aims of the programme are:

• To equip students with a rigorous understanding of financial and commodity markets
• To provide students with insightful knowledge and experience of practices of trading
• To give students foundational knowledge of associated computational methods.
• To ensure you are capable of trading effectively in equity, bond, commodity and foreign exchange markets and ready to take up trading floor positions in leading institutions of the financial and commodity trading industry.

Visit the website http://www2.gre.ac.uk/study/courses/pg/acc/comptrad?utm_source=findamasters&utm_medium=search&utm_term=ComputationalTrading&utm_campaign=BusinessSchoolMScComputationalTrading


Internationalisation of the world economy and the policy challenges this has posed for business and public decision makers have increased the demand for economics graduates. Our teaching responds to this demand by combing solid training in theory and method with stimulating exposure to economics and financial data sources.

What you'll study

- Foundations of Scholarship, Data Analysis & Application (15 credits)
- Trading Practicum 1 (15 credits)
- Trading Technical Analysis and Strategies (15 credits)
- Applied Modelling and Data Analysis (15 credits)
- International Macrofinance and Trading (15 credits)
- Financial Management (30 credits)
- Regulation, Compliance & Ethics in Financial Markets (15 credits)
- Business Intelligence and Data Mining (15 credits)
- Trading Practicum 2 (15 credits)
- Research Project (30 credits)

Fees and finance

Your time at university should be enjoyable and rewarding, and it is important that it is not spoilt by unnecessary financial worries. We recommend that you spend time planning your finances, both before coming to university and while you are here. We can offer advice on living costs and budgeting, as well as on awards, allowances and loans.


Assessments will include a variety of formative and summative assessments with interactive feed-forward and feedback opportunities to encourage students to engage effectively in active/participatory learning. Formative assessments include: problem-sets; simulations; case studies. Summative assessments include: portfolio; group presentations; simulations; trading activities and tasks; examinations.

Specialist equipment/ facilities

Eviews Econometrics software, R-programming language and specialised trading platform.

Career options

A wide variety of roles within asset management, trading, sales trading, research and financial analysis. You will graduate able to develop your own trading strategies and make decisions across all trading platforms, enabling you to work as an independent trader or as a trader in investment banks, private equity, leverage buyout, venture capital firms, secondary funds, hedge funds or dealing in competitive spreads.

Find out how to apply here - http://www2.gre.ac.uk/study/apply

Visit the MSc Computational Trading page on the University of Greenwich website for more details!

Student Profiles

Fast Forward Master's Scholarships - 20+ Awards

Our Fast Forward Master's Scholarship will provide £5000 support which can be taken either as a discount from the normal fee or a cash bursary.Up to 80 scholarships will be available across the university.Criteria and who can apply?- Final year University of Greenwich home undergraduates (subject to a simple financial means threshold details below) who are predicted to achieve a First or Upper Second class degree. Offers for the Scholarship scheme will be made conditional upon achievement of that degree outcome.- Available for part time programmes. Part time fees will be split across the first two years of study.- Students will need to have a declared household income of £40,000 or less, and will be asked to demonstrate this by providing certain information as requested by the university.- Students funded by Student Finance England (SFE) will need to ensure that SFE have "consent to share" their household income assessment with the university.- Students who receive funding from Student Finance Services European Team, Student Finance Wales, Student Finance Northern Ireland or the Student Awards Agency for Scotland will be asked to by the University to provide documents from their funding provider to verify their household income.- Fees will be subject to a 5% prompt payment discount if paid in full by the end of September 2016. Other fee waivers (for example the Alumni and First Class Honours waivers) will not be payable in addition to Fast Forward Master's Scholarships.

Value of Scholarship(s)



Final year University of Greenwich home undergraduates (subject to a simple financial means threshold details below) who are predicted to achieve a First or Upper Second class degree. Offers for the Scholarship scheme will be made conditional upon achievement of that degree outcome.

Application Procedure

Before applying for this scheme you must first make an application for an eligible University of Greenwich Master's programme.Applications for Fast Forward Master's Scholarships will be addressed to check whether:- They meet the eligibility tests as summarised above and as set out more fully in the self-check eligibility test (see below)- They are predicted to achieve a First or Upper Second class degree.Those applications which pass this assessment will result in scholarship offers, on a first come/ first serve basis. These offers will be conditional on the achievement of a first or upper second class degree.

Further Information


Entry Requirements

Applicants should have: A good honours degree in economics, finance or a related subject with a strong quantitative component.Applicants whose first language is not English must have an IELTS score of 6.5 with 5.5 in each component.Applicants who do not meet the formal academic threshold, but who can evidence skills and knowlege gained through working in a related field for a minimum of two years may be considered.

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Recipient: University of Greenwich
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