Robotics and Artificial Intelligence Masters Degree - MSc/PgD/PgC

Program Overview

Compulsory modules:

Optional modules:

To obtain an MSc degree, you must follow and successfully complete a total of 180 credits. PgC (60 credits) and PgD (120 credits) may be awarded as standalone or exit awards.

Program Outline

The programme will be delivered through an appropriate combination of studios, workshops and seminars with industrial experts to provide insights into their research or business activity. There will be a thoughtful blend of face-to-face learning and Moodle, Microsoft Teams and various educational technologies.

A student-centred approach to learning and teaching is encouraged through the use of a broad range of teaching strategies, such as technical labs and individual and group projects. Due to the nature of the programme, online and campus-based practical workshops are key to developing students’ technical understanding and abilities, underpinned by solid theoretical expertise. Students are expected to further develop their knowledge and understanding through directed self-study and reflective independent learning time - in additional to the timetabled delivery.

Students have the opportunity to experience state-of-the-art facilities and specialist equipment in the EUREKA Robotics Centre – such as humanoid service robots, an industrial-grade robotic arm, and 3D printers with advanced applied artificial intelligent features.

Short Term Mobility and ERASMUS+ opportunities are available for students to apply for field trips to countries such as China, Malaysia and the EU to build a robotics career network and gain knowledge and insights from international global robotics leaders. An industrial panel and partners of the EUREKA Robotics Centre support the industrial standard of curriculum design and in addition, partners are invited to deliver guest lectures and contribute to assessment and feedback.

Students are also encouraged to publish their work on blogs, EUREKA Robotics website, robotics apps stores, social media & press, and academic conferences to exchange knowledge and share learning & research outcomes. Critical peer review or expert reviews will be the development process towards generating new robotics design, problem solving, error debugging and failure recovery.

Students are supported academically and pastorally by the Programme Team, led by the Programme Director. Each student is also appointed a Personal Tutor from within the School, who provides a point of contact for general academic and pastoral issues. The EDGE (Ethical, Digital, Global and Entrepreneurial) educational environment is embedded into every module, and most senior academic staff are Fellows of the Higher Education Academy (HEA) and Chartered IT Professionals (to-be) with real-world industry experience, coupled with the UK’s world-class quality of teaching. These are the profiles of some key teaching staff: