UCL (University College London)

Course Introduction

This MSc teaches advanced analytical and computational skills for success in a data rich world. Designed to be both mathematically rigorous and relevant, the programme covers fundamental aspects of machine learning and statistics, with potential options in information retrieval, bioinformatics, quantitative finance, artificial intelligence and machine vision. The programme aims to provide graduates with the foundational principles and the practical experience needed by employers in the area of machine learning and statistics. Graduates of this programme will have had the opportunity to develop their skills by tackling problems related to industrial needs or to leading-edge research. The programme is designed to train students in both the practical and theoretical sides of machine learning. A significant grounding in computational statistics is also provided. Globally there are a large number of very successful users of this technology, many located in the UK. Areas in which expertise in statistics and machine learning is in particular demand include: finance, banking, insurance, retail, e-commerce, pharmaceuticals, and computer security. Graduates have gone on to further study at, for example, the Universities of Cambridge, Helsinki, Chicago, as well as at UCL. The MSc is also ideal preparation for a PhD, in statistics, machine learning or a related area.

Duration & Attendance Qualification Tuition fees Fee type
1 year
Full Time
MSc £13,340 Home Fees
1 year
Full Time
MSc £13,340 European Fees
1 year
Full Time
MSc £28,410 Overseas Fees

Qualifications required:

  • Domestic entry requirements: Students need to have a minimum of an upper second-class UK Bachelor's degree in a highly quantitative subject such as computer science, statistics, mathematics, electrical engineering or the physical sciences, or an overseas qualification of an equivalent standard. Relevant work experience may also be taken into account. Students must be comfortable with undergraduate-level mathematics; in particular it is essential that the candidate will have knowledge of statistics at an intermediate undergraduate level. The candidate should also be proficient in linear algebra and multivariable calculus.
  • International entry requirements: Students need to have: IELTS overall grade of 7.0 with a minimum of 6.5 in each of the subtests; overall score of 100 with 24/30 in reading and writing and 20/30 in speaking and listening in Test of English as Foreign Language (TOEFL) iBT; overall score of 185 with 176 in all subtests in Cambridge Certificate of Proficiency in English; overall score of 185 with 176 in all subtests in Cambridge Certificate of Advanced English; pass at Mastery level when achieved with a pass at Mastery level in the Pitman International Spoken test (ISESOL) in City & Guilds (Pitman Examination in International ESOL); 69 overall, with a minimum of 59 in each Communicative Skill in Pearson Test of English (Academic); successful completion of ISE III with a ?merit? in all components; overall mark of 70%, with at least 65% in each of the four subtests in UCL Diploma in English for Academic Purposes; overall mark of 70% with at least 65% in each of the four elements of the examination in UCL International Pre-Master's Courses; mark of 70%, with at least 65% in each of the subtests in UCL Pre-sessional English Courses.
  • IELTS score: 7
  • TOEFL score: 100