Machine Learning

The Machine Learning MSc at UCL is a truly unique programme and provides an excellent environment to study the subject. 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.

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.

Students undertake modules to the value of 180 credits.

The programme consists of two core modules (30 credits), six optional modules (90 credits) and a research project (60 credits).

Core modules

• Supervised Learning
• Either Graphical Models
• or Probabilistic and Unsupervised Learning

Optional modules

• Advanced Deep Learning and Reinforcement Learning
• Advanced Topics in Machine Learning
• Affective Computing and Human-Robot Interaction
• Applied Machine Learning
• Approximate Inference and Learning in Probabilistic Models
• Bioinformatics
• Information Retrieval and Data Mining
• Introduction to Deep Learning
• Machine Vision
• Programming and Mathematical Methods for Machine Learning
• Statistical Natural Language Programming

Dissertation/report

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.

A minimum of an upper second-class UK Bachelor's degree in a highly quantitative subject such as 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 must be comfortable with undergraduate mathematics in areas such as linear algebra and calculus.

Want to improve your English level for admission?

Prepare for the program requirements with English Online by the British Council.

• ✔️ Flexible study schedule
• ✔️ Experienced teachers
• ✔️ Certificate upon completion

📘 Recommended for students with an IELTS level of 6.0 or below.

Enroll in the course