Course summary
On this Master of Science degree in Robotics and Artificial Intelligence (AI), you will develop advanced skills across complex and core topics in service, industrial and social robotics. You will study the latest cutting-edge advancements in the field – such as machine learning techniques, robotics vision and speech, and 3D modelling. You will explore bio-inspired design, human-centred methodologies, and rapid prototyping to investigate how intelligent systems, 3D-printed components, and autonomous robotics can address social, environmental, and user-centred challenges. You will also develop strong managerial and leadership skills, along with a global understanding of the economic, legal, social, ethical, and environmental context of robotics. An expert-level knowledge of robotics, AI and machine learning is highly desirable in industry, with opportunities for further research and PhD study also available. The MSc in Robotics and Artificial Intelligence is closely integrated with the EUREKA Robotics Centre – one of only 14 specialist centres in the UK, and the only Centre in Wales with a unique focus in social and service robotics (profiled by the International Trade Department, UK Government). The EUREKA Robotics Centre is also the only University centre in Wales on the KTN Robotics & AI Innovation Network Map for “Specific Capabilities & Technologies”. Students have the opportunity to gain experience within the centre, get involved in ongoing robotics projects and join field trips to our international partners. The programme is aiming for Chartered IT Professional Accreditation (CITP) by The Chartered Institute of IT (BCS), for the purposes of fully meeting the academic requirement for registration as a Chartered IT Professional in the UK. Accredited by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council as meeting the requirements for Further Learning for registration as a Chartered Engineer. Candidates must hold a CEng accredited BEng/BSc (Hons) undergraduate first degree to fully meet the CEng registration educational requirements. Possible exit points - MSc/PgD/PgC
Modules
Compulsory modules:
- Advanced AI in Robotics (20 credits)
- 3D Bio-Inspired Robot Design (20 credits)
- Mobile Robotics (20 credits)
- Applications for Social and Service Robots (20 credits)
- Vision with Deep Learning (20 credits)
- Research & Professional Practice (20 credits)
- Technology Dissertation (40 credits)
- Sensors and Actuators (20 credits)
- Frontiers in Technology (20 credits)
- Programming for Data Analysis (20 credits)
- Information Security (20 credits)
Assessment method
Assessments take the form of research papers, practical assignments, presentations, individual and group reports, as well as individual and team projects. Through the use of formative assessment with frequent, short-term feedback early in the course and during the weekly workshops, presentations, class-based peer assessment and academic support in library, the assessment strategy is designed to encourage students and to build their confidence. Summative feedback will be given in the consistent form on Moodle and Turnitin-GradeMark Feedback Studio, with the variety features of rubrics, in-text and general feedback. In designing the assessment format for modules of the MSc in Robotics and AI, the following factors are considered:
- The module learning outcomes at postgraduate level, with particular emphasis on the student’s ability to analyse, synthesise, evaluate and communicate information derived from module content; learned knowledge from other areas/qualifications; work experience; Independent systematic information-seeking strategies.
- Assessment performance criteria.
- Encouraging students to apply their skills to specific real-world computing and technology problems.
- The validity and reliability of the assessment methods, which are monitored and verified by module leaders, field groups and programme teams.
Qualified teacher status (QTS)
To work as a teacher at a state school in England or Wales, you will need to achieve qualified teacher status (QTS). This is offered on this course for the following level:
- Course does not award QTS
Entry requirements
Applicants should have an Honours degree at least 2:2 or its equivalent in a relevant area, e.g., Robotics, Artificial intelligence, Computer Science, Information Systems, Mathematics or an appropriate Engineering specialism. Programming skills in Python/Java/C/C++ are highly desirable. Relevance shall be determined by the Programme Director with reference to the applicant’s transcript, and, if required, via an interview. Other disciplines will be considered on a case-by-case basis. English Language Requirements: Applicants whose first language is not English should refer to English Language Requirements to confirm the level and evidence of fluency required for entry to the programme.
Fees and funding
Tuition fees
| Republic of Ireland | £1225 | Module |
| England | £1225 | Module |
| Northern Ireland | £1225 | Module |
| Scotland | £1225 | Module |
| Wales | £1225 | Module |
Tuition fee status depends on a number of criteria and varies according to where in the UK you will study. For further guidance on the criteria for home or overseas tuition fees, please refer to the UKCISA website .
Additional fee information
No additional fees or cost information has been supplied for this course, please contact the provider directly.
Provider information
Cardiff Metropolitan University
Student Recruitment & Admissions
Western Avenue
Cardiff
CF5 2YB