The MSc Responsible Artificial Intelligence is a well-integrated programme of study with a targeted focus on both in theory and in application. Presupposing no background in computing, students are equipped with relevant knowledge and data programming skills, covering not only recent technical developments but also broader ethical and theoretical considerations.
Summary
The option to study philosophical issues of AI whilst pursuing a Master’s level computing degree is a unique offering in the UK, allowing students the opportunity to delve on the technical as well as the societal impact of data processing and, in particular, machine learning applications.
The programme allows students to progressively develop their understanding of the techniques of data science, machine learning, and natural language processing, alongside key concepts and methods of computer science, while honing their programming skills in Python and Java; and, at the same time, refine their thinking and communication skills, through humanities courses devoted to a consideration of key practical and theoretical issues, arising in connection with AI.
Teaching & Learning
The MSc Responsible Artificial Intelligence will be delivered through a mixture of lectures, seminars, lab-based tutorials and office hours.
Students who are enrolled full-time should anticipate devoting approximately 35-40 hours per week to their studies for the duration of their degree. In Michaelmas and Hilary terms, this will include approximately six to seven formal contact hours per week, with the remainder consisting of structured independent study.
Part-time Study
The Master's programme can be taken part-time over two years. Part-time students attend the same classes as their full-time colleagues, taking 50% of the course load each academic year. The classes are not run separately in the evening for part-time students.
While we try to make the part-time study as flexible as possible, our Master’s programmes are demanding and we advise students that, if they intend to work alongside the course, their work should be flexible.
Timetables
Timetables are usually made available to students during Freshers’ Week. Teaching can be scheduled to take place during any day of the week. However, when possible, Wednesday afternoons are usually reserved for sports and cultural activities.