Taught course

Computational Finance

Institution
UCL Institute of Education · Computer Science
Qualifications
MSc

Entry requirements

An upper-second class UK Bachelor's degree (or equivalent overseas qualification) in computer science, mathematics, statistics, physics, engineering or a similarly quantitative subject. Programming experience is an advantage but is not mandatory. Relevant work experience is also taken into account.

If your education has not been conducted in the English language, you will be expected to demonstrate evidence of an adequate level of English proficiency.

The English language level for this programme is: Good.

Further information can be found on our English language requirements http://www.ucl.ac.uk/prospective-students/graduate/life/international/english-requirements page.

Months of entry

September

Course content

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.

UCL was ranked first in the UK for computer science and informatics in the Research Excellence Framework (REF) 2014.

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.

Full-time: 1 year;

Qualification and course duration

MSc

full time
12 months

Assessment

The programme is delivered through a combination of lectures, tutorials, seminars, and project work. It comprises two terms of teaching, followed by examinations an a dissertation. Assessment is through coursework, unseen examinations and a dissertation.

Course contact details

Phone
+44 (0)20 3370 1214