Machine Learning MSc
The Machine Learning MSc at UCL is a truly unique programme and provides an excellent environment to study machine learning. It introduces the computational, mathematical and business views of machine learning to those who want to upgrade their expertise and portfolio of skills in this domain.
Mode of study
- Full-time 1 year
- UK/EU Full-time: £10,450
- Overseas Full-time: £21,700
- All applicants: 1 August 2014
More details in Application section.
What will I learn?
Students develop an understanding of the principles underlying the development and application of new techniques in this area, alongside an awareness of, and ability to analyse the range and scope of algorithms and approaches available, and design, develop and evaluate appropriate algorithms and methods for new problems and applications.
Why should I study this degree at UCL?
UCL Computer Science is recognised as a world leader in teaching and research, and our Master's programmes have some of the highest employment rates and starting salaries.
We take an experimental approach to our subject, enjoy the challenge and opportunity of entrepreneurial partnerships and place a high value on our extensive range of industrial collaborations.
This MSc is one of the few top master programmes entirely dedicated to machine learning. It combines a rigorous theoretical academic framework along with specific knowledge of a variety of application fields to fast-track your commercial career or to prepare for PhD research.
Students undertake modules to the value of 180 credits. The programme consists of three core modules (45 credits), five optional modules (75 credits) and a research project (60 credits).
All MSc students undertake an independent research project which culminates in a dissertation ( maximum length of 120 pages) in the form of a project report.
Teaching and Learning
The programme is delivered through a combination of lectures, seminars, class discussions and project supervision. Student performance is assessed though a combination of unseen written examination, coursework (much of which involves programming and/or data analysis), practical application, and the research project.
Further details available on subject website:
Scholarships available for this department
This award is based on financial need.
Selection based solely on financial need.
For a prospective UK Master's student from under-represented background enrolling on a participating programme . Selection based solely on financial need.
Further information about funding and scholarships can be found on the Scholarships and funding website.
A minimum of an upper second-class UK Bachelor's degree in computer science, mathematics, electrical engineering or the physical sciences, or an overseas qualification of an equivalent standard. Relevant work experience may also be taken into account. Additionally, candidates will be expected to have successfully completed as part of their first degree, one or more introductory courses covering appropriate foundation material on machine learning, or to have gained this through industrial experience.
Select your country for equivalent alternative requirements
English language proficiency level: Standard
How to apply
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.
The deadline for applications is 1 August 2014.
Who can apply?
The programme provides a sound basis for those embarking on a career in research or development or taking up positions within industry where machine learning is currently applied or will be applied in the future; such as finance, banking and insurance, retail and web-commerce, pharmaceuticals, computer security and web search.
What are we looking for?
When we assess your application we would like to learn:
- why you want to study Machine Learning at graduate level
- why you want to study Machine Learning at UCL
- what particularly attracts you to this programme
- how your academic and professional background meets the demands of this programme
- what programming experience you have
- where you would like to go professionally with your degree
Graduates from this programme have an excellent employment record. Within the computer science alumni network students benefit from deep corporate and academic connections. Substantial sectors of UK industry, including leading, large companies already make extensive use of intelligent systems techniques in the course of their business activities, and the UK has a number of very successful developers and suppliers of the technology.
The programme has a track record of students pursuing machine learning research degrees in domains as diverse as robotics, music, psychology, bioinformatics and universities as broad as Basel, Cambridge, Edinburgh, Nairobi, Oxford and UCL. Graduates have also found positions with multi-national companies such as BAE Systems and BAE Detica.
Top career destinations for this programme
- Imagination Technologies, Graduate Design Engineer, 2011
- Hydro.com, Programmer, 2011
- Jive, IT Consultant, 2011
- Cisco, Software Tester, 2011
Scientific experiments and companies now routinely generate vast databases and machine learning and statistical methodologies are core to their analysis. ML graduates have been in high demand for PhD positions across the sciences. There is a considerable shortfall in the number of qualified graduates in this area internationally. In London there are many companies looking to understand their customers better and have therefore hired ML graduates. Similarly ML graduates now work in companies in, amongst others, Germany, Iceland, France and the US in large-scale data analysis. The finance sector is also particularly interested in ML graduates, having hired several recently.
Miss Rebecca Martin
T: +44 (0)20 7679 0481
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"I chose to study at UCL because of the prestige and philosophy of the university. I've been connected to UCL for 14 years. I completed my undergraduate, PhD, and postdoctoral research at the university and have spun-out a company from UCL."
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