Modes and duration
- Full-time: 4 years
- Part-time: 6 years
Tuition Fees (2015/16)
- £4,635 (FT) £2,315 (PT)
- £21,530 (FT) £10,765 (PT)
A minimum of an upper second-class UK Bachelor’s degree in a relevant discipline, or an overseas qualification of an equivalent standard. Work experience may also be taken into account.
English Language Requirements
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 page.
Country-specific information, including details of when UCL representatives are visiting your part of the world, can be obtained from the International Students website.
International applicants can find out the equivalent qualification for their country by selecting from the list below.
Select your country:
Finaincial Computing and Analytics encompasses a wide range of research areas including mathematical modelling in finance, computational finance, financial IT, quantitive risk management and financial engineering. PhD research areas include stochastic processes, quantitive risk models, financial ecometrics, software engineering for financial applications, computational statistics and machine learning, network, high performance computing and statistical signal processing.
- Bioinformatics: protein structure; genome analysis; transmembrane protein modelling; de novo protein design methods; exploiting grid technology; mathematical modelling of biological processes
- Financial computing: software engineering; computational statistics and machine learning; mathematical modelling
- Human centred systems: usability of security and multimedia systems; making sense of information; human error and cognitive resilience
- Information security: cryptology; digital watermarking; cryptoanalysis; steganography
- Intelligent systems: knowledge representation and reasoning; machine learning
- Media futures: digital rights management; information retrieval; computational social science; recommender systems
- Networks: internet architecture; protocols; mobile networked systems; applications and evolution; high-speed networking
- Programming Principles, Verification and Logic’: logic and the semantics of programs; automated tools for verification and program analysis; produce mathematically rigorous concepts and techniques that aid in the construction and analysis of computer systems; applied logic outreach in AI, security, biology, economics
- Software systems engineering: requirements engineering; software architecture; middleware technologies; distributed systems; software tools and environments; mobile computing
- Virtual environments: presence, virtual characters; interaction; rendering; mixed reality
- Vision and imaging science: face recognition; medical image analysis; statistical modelling of colour information; inverse problems and building mathematical models for augmented reality; diffusion tensor imaging.
Scholarships relevant to this department are displayed below. For a comprehensive list of the funding opportunities available at UCL, including funding relevant to your nationality, please visit the Scholarships and Funding website.
- Fees, maintenance and travel (Duration of programme)
- Overseas students
- Based on academic merit
More scholarships are listed on the Scholarships and Funding website
UCL Computer Science graduates secure careers in a variety of organisations including global IT consultancies, City banks and specialist companies in manufacturing industries. The Department takes pride in helping students in their career choices and offers placements and internships with numerous start-up technology companies, including those on Silicon Roundabout, world-leading companies such as Google, Skype and Facebook, and multi-national Finance companies including Morgan Stanley, Deutsche and JP Morgan. Our graduates secure roles such as applications developers, information systems managers, IT consultants, multimedia programmers, software engineers and systems analysts in companies such as Microsoft, Cisco, Bloomberg, PwC and IBM.
UCL Computer Science Research Students' employability is greatly enhanced by working alongside world-leading researchers in cutting-edge research areas such as virtual environments, networked systems, human-computer interaction and financial computing. Computer Science enjoys the UCL multi-disciplinary tradition and shares ideas and resources from across the departments of Faculty of Engineering and beyond. Our alumni have gone on to find work, or found their own successful start-up companies, because they have an excellent understanding of the current questions which face industry and have the skills and the experience to market innovative solutions.
UCL Computer Science is located in the heart of London and subsequently has strong links with industry. We regularly welcome industry executives to observe students' project presentations, we host networking events with technology entrepreneurs (many of which are Computer Science Alumni) and companies sponsor our student prizes. Students also take the advantage of a location close to the City and Canary Wharf to work on projects with leading global financial companies. London is also home to numerous technology communities, for example the Graduate Developer Community, who meet regularly and provide mentors for students interested in finding developer roles when they graduate.
Why study this degree at UCL?
The centre for doctoral training in Financial Computing and Analytics was established at UCL in collaboration with academic partners at the London School of Economics and Imperial College London, supported by partnerships with 20 leading financial institutions. It is the first major collaboration between the financial service industry and academia.
The PhD programme is unique in enabling students to gain the skills required for jobs in the financial services industry or in large analytics companies. The course provides unrivalled contacts, with access to top financial industry professionals and the best academic resources.
Student / staff ratios › 80 staff › 650 taught students › 175 research students
Department: Computer Science
Application and next steps
Students are advised to apply as early as possible due to competition for places. Those applying for scholarship funding (particularly overseas applicants) should take note of application deadlines.
Who can apply?
For more information see our Applications page.Apply now