Robotics & Autonomous Systems (RAS) shape technology innovation in the 21st century, underpinning research in a wide range of challenging areas
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 four core modules (60 credits), two to four optional modules (30 to 60 credits), up to two elective modules (30 credits), and a dissertation/report (60 credits).
- Robotic Systems Engineering (COMP0127) (15 credits)
- Robotic Control Theory and Systems (COMP0128) (15 credits)
- Robotic Sensing, Manipulation and Interaction (COMP0129) (15 credits)
- Robot Vision and Navigation (COMP0130) (15 credits)
- MSc Robotics and Computation Dissertation (COMP0132) (60 credits)
Students will need to choose a minimum of 15 and a maximum of 60 credits from the optional modules.
- Sensors and Location (CEGE0095) (15 credits)
- Image Processing (COMP0026) (15 credits)
- Mathematical Methods, Algorithmics and Implementations (COMP0112) (15 credits)
- Inverse Problems in Imaging (COMP0114) (15 credits)
- Acquisition and Processing of 3D Geometry (COMP0119) (15 credits)
Students will need to choose a minimum of 0 and a maximum of 45 credits from the elective modules.
- Affective Computing and Human-Robot Interaction (COMP0053) (15 credits)
- Supervised Learning (COMP0078) (15 credits)
- Graphical Models (COMP0080) (15 credits)
- Applied Machine Learning (COMP0081) (15 credits)
- Introduction to Machine Learning (COMP0088) (15 credits)
- Computational Modelling for Biomedical Imaging (COMP0118) (15 credits)
- Multi-agent Artificial Intellgience (COMP0124) (15 credits)
- Machine Vision (COMP0137) (15 credits)
Please note: the availability and delivery of optional modules may vary, depending on your selection.
All students undertake an independent research project which culminates in a dissertation of 12,000 words.