Deep dive into computer vision, reinforcement learning, autonomous agents, edge computing, and robotics perception systems. Students earn 2 independent accredited diplomas with a 55% / 45% international credit split.
MSc Applied Artificial Intelligence & Autonomous Systems (Dual Award) is taught as one award, not a list of unrelated modules. The published length is 18 months, and the credit total is 180. Students move from Data and measurement through Data and measurement; Models that can be checked; Deployment and care; Analytics project; Data and measurement (MSC-D202); Models that can be checked (MSC-D203), and finish on Deployment and care (MSC-D301).
Each course has a question, a method, and a submission. In this field, students define a measurable question, fit a method that can be checked, and report where it fails. Reading is a dataset description, a methods note, and one published evaluation. The artefact a marker expects is a project note with the question, the method, the result, and the limitation.
The award is built so that a graduate can do the following in practice: Dual master's conferral uniting British academic rigor and US technological innovation Simulation labs in ROS 2, PyTorch, and cloud robotics environments Supervised research thesis evaluated by joint UK/US examination boards
Teaching assumes the student can read a source, attempt a problem before the seminar, and revise after feedback. Attendance at live seminars is part of the design. The capstone or final course must use the methods of the earlier courses; a project that ignores them does not pass.
The pages for each course name the topics that are examined. Those topics are the syllabus. A brochure line is not a substitute for them.
Rozpocznij aplikację
Kampus i miasto
Nasza historia od 1969
