Machine Learning MSc is a unique programme that introduces students to the computational, mathematical and business views of machine learning
To find out core information about this degree, such as entry requirements, programme length and cost, visit the UCL prospectus site.
Students undertake modules to the value of 180 credits.The programme consists of one core module (15 credits), five to seven optional modules (75 to 105 credits), up to two elective modules (0 to 30 credits), and a research project (60 credits).
Students must choose 75 to 105 credits from these optional modules. Students must take either Graphical Models or Probabilistic and Unsupervised Learning.
- Affective Computing and Human-Robot Interaction (COMP0053) (15 credits)
- Graphical Models (COMP0080) (15 credits)
- Applied Machine Learning (COMP0081) (15 credits)
- Bioinformatics (COMP0082) (15 credits)
- Advanced Topics in Machine Learning (COMP0083) (15 credits)
- Information Retrieval and Data Mining (COMP0084) (15 credits)
- Approximate Inference and Learning in Probabilistic Models (COMP0085) (15 credits)
- Probabilistic and Unsupervised Learning (COMP0086) (15 credits)
- Statistical Natural Language Processing (COMP0087) (15 credits)
- Reinforcement Learning (COMP0089) (15 credits)
- Introduction to Deep Learning (COMP0090) (15 credits)
- Machine Vision (COMP0137) (15 credits)
(Students must choose 0 to 30 credits from these elective modules)
- Financial Engineering (COMP0048) (15 credits)
- Inverse Problems in Imaging (COMP0114) (15 credits)
- Computational Modelling for Biomedical Imaging (COMP0118) (15 credits)
- Numerical Optimisation (COMP0120) (15 credits)
- Multi-agent Artificial Intellgience (COMP0124) (15 credits)
- Robotic Systems Engineering (COMP0127) (15 credits)
- Robot Vision and Navigation (COMP0130) (15 credits)
Please note: the availability and delivery of optional modules may vary, depending on your selection.
All MSc students undertake an independent research project which culminates in a dissertation of 10,000-12,000 words in the form of a project report.