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.
About this degree
This degree comprises advanced modules on quantitative and modelling skills, which are essential for quant roles in trading research, regulation and risk. This applied MSc programme is distinctive in that it provides a solid mathematical and statistical foundation together with an education in advanced-level programming.
This is a relatively new programme and therefore no specific information on graduate destinations is currently available. UCL Computer Science graduates typically find work in financial institutions such as Credit Suisse, JP Morgan, Morgan Stanley, and Deutsche Bank as financial analyst application developers, quant developers, and business managers. The University of Cambridge and UCL are among top further study destinations.
Our graduates are particularly valued as a result of the department's international reputation, strong links with industry, and ideal location close to the City of London. Graduates are especially sought after by leading finance companies and organisations.
Why study this degree at UCL?
UCL received the highest percentage (96%) for quality of research in Computer Science and Informatics in the UK's most recent Research Excellence Framework (REF2014). 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.
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- Domestic 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.
- International 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. Students need to have an overall IELTS grade of 7.0 with a minimum of 6.5 in each of the subtests; TOEFL: Overall score of 100 with 24/30 in reading and writing and 20/30 in speaking and listening; Cambridge Certificate of Proficiency in English: Overall score of 185 with 176 in all subtests; Cambridge Certificate of Advanced English: Overall score of 185 with 176 in all subtests; City & Guilds (Pitman Examination in International ESOL): Pass at Mastery level when achieved with a pass at Mastery level in the Pitman International Spoken test (ISESOL); Pearson Test of English (Academic): 69 overall, with a minimum of 62 in each Communicative Skill; Trinity College London, Integrated Skills in English (Trinity ISE) III: Successful completion of ISE III with ?merit? in all components; UCL Diploma in English for Academic Purposes: Overall mark of 70%, with at least 65% in each of the four subtests. UCL International Pre-Master's Courses: Overall mark of 70% with at least 65% in each of the four elements of the examination. Equivalent to 7.0 in IELTS; UCL Pre-sessional English Courses: Mark of 70%, with at least 65% in each of the subtests.
- IELTS score: 7
- TOEFL score: 100