Taught course

Computational Trading

University of Greenwich · School of Computing and Mathematical Sciences

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.

Months of entry


Course content

The MSc in computational Trading 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. 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.

The programme will focus on real time approaches to trading, including characteristics of specific financial instruments and the interplay of macroeconomic, financial, technical and behavioural drivers in financial markets.

Teaching and learning methods will be highly interactive. Students will be exposed to and engaged in theoretical, applied and experiential learning (hands-on training in trading). Scheduled contact time will include: lectures; seminars; laboratory practical classes of trading and supervised lab practical work; project supervision; demonstrations and workshops; fieldwork; external visits. Students will be expected to devote time to independent laboratory work (simulation of trading, search and handling of data) and independent coursework.

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 students 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.


  • 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)

Qualification and course duration


full time
12 months
part time
24 months

Course contact details

Course Enquiries
020 8331 9000