University of Greenwich

University of Greenwich

Computational Trading

The course is an intensive and quantitative programme that focuses on trading future markets. At the heart of the programme is learning how to operate in a simulated trading environment. From Term one the students operate in computer labs turned into a comprehensive simulated trading floor. The programme uses a combination of financial theory, econometrics and computer technology. It is designed for graduates wishing to pursue trading careers in investment banks, hedge funds and other financial or commodity trading institutions. It will also appeal to professional practitioners in the financial sector who wish to acquire skills in computational trading. By the end of the programme students will be able to competently develop and use trading tools and software. The programme will develop skills in econometrics methods, decoding and interpreting market news and events relevant to trading decisions; searching, mining and handling big data sets; operating real trading platforms; high-level computational skills related to trading; personal and professional skills to operate effectively in a professional trading environment.

Entry requirements

An honours degree in Economics, Finance or related subject with strong quantitative component will be admitted to the programme. For applicants whose first language is not English, the minimum level of English is the equivalent to an IELTS score of 6.5 with a minimum of 5.5 in each component.

Course modules

Modules include: Foundations of scholarship, data analysis and application; trading practicum 1; trading technical analysis and strategies; applied modelling and data analysis; international macrofinance and trading; financial management; regulation, compliance ethics in financial markets; business intelligence and data mining; trading practicum 2; research project.

Assessment methods

Assessment methods comprise 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 such as problem-sets, simulations and case studies will be regularly assigned to provide feedback during learning and to promote students' ability to self and peer-assess their learning activities. Summative assessments will include: portfolio, group presentations, simulations, trading activities and tasks, and exams.

Qualifications

Qualification Study mode Start month Fee Course duration
MSc Full-time September 2016 GBP 7,450 per Whole course (Northern Ireland) 12 months
MSc Full-time September 2016 GBP 7,450 per Whole course (Scotland) 12 months
MSc Full-time September 2016 GBP 7,450 per Whole course (Wales) 12 months
MSc Full-time September 2016 GBP 7,450 per Whole course (England) 12 months
MSc Full-time September 2016 GBP 11,700 per Whole course (International) 12 months
MSc Part-time September 2016 GBP 7,450 per Whole course (England) 24 months
MSc Part-time September 2016 GBP 7,450 per Whole course (Northern Ireland) 24 months
MSc Part-time September 2016 GBP 7,450 per Whole course (Scotland) 24 months
MSc Part-time September 2016 GBP 7,450 per Whole course (Wales) 24 months

Campus details

Campus name Town Postcode Region Main campus Campus Partner
Greenwich Maritime Campus Greenwich SE10 9LS South East

Get in touch

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Key information

Contact: 
Enquiry Unit
Telephone number: 
020 8331 9000