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 & speech, and 3D modelling. You will then apply your knowledge to the design and development of sophisticated autonomous intelligent apps, 3D designs and physical robotics systems. You will also develop strong managerial and leadership skills, and a global appreciation of the economic, legal, social, ethical and environmental context of robotics. In addition, there are opportunities for short-term mobility trips to visit global industry leaders and short industrial or academic internship placements, which can often prove very useful in securing future employment in the UK and globally. 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 11 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, p. 11). 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 of undertaking an internship at the Centre or partners organisations to gain robotics and AI industrial or research experience. 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. It is also seeking to meet the further learning requirements for Chartered Engineer (CEng) registration. The Engineering Council sets the overall requirements for the Accreditation of Higher Education Programmes (AHEP) in engineering, in line with the UK Standard for Professional Engineering Competence (UK-SPEC). Possible exit points - MSc/PgD/PgC
Modules
Compulsory modules: Advanced AI in Robotics (20 credits) The module aims to provide students the advanced artificial intelligence (AI) knowledge and practical skills at the intersection of robotics and intelligent systems. 3D Bio-Inspired Robot Design (20 credits) This module provides students with the opportunity to gain experience and develop skills in bio-inspired design for robotics and robotic aesthetics, grounded on human-centered design research approach and rapid prototyping method. Mobile Robotics (20 credits) The module aim is to provide students with the foundation of autonomous mobile robotic including aspects such as mapping, navigation, planning and localisation. It also aims to introduce students the algorithmic strategies that enable the coordination of multi-robot systems and robot swarms. Applications for Social and Service Robots (20 credits) The module aims to provide students the advanced knowledge and applications for social and service robotics, an interdisciplinary field incorporating taxonomy of robots, from the current research and design to the real-world implementation. Vision with Deep Learning (20 credits) This module aims to provide students with the basic knowledge of combining robotics and deep learning. Research & Professional Practice (20 credits) The aim of this module is to equip the student with the skills, knowledge, and techniques necessary to produce a technology related dissertation with a research or technical focus. Technology Dissertation (40 credits) The aim of the technology project is for the student to apply knowledge, skills and techniques developed during directed and independent study to solve a real-world technology related project. Optional modules: Sensors and Actuators (20 credits) This module will introduce the broad spectrum of activities that comprise robotic and electronic engineering, and the analytical methods needed to support it. Frontiers in Technology (20 credits) The purpose of the module is to provide students with knowledge and understanding of emerging and future developments in the field of technology, as well as a critical understanding of contemporary Ethical, Digital, Global and Entrepreneurial competencies and their application to ‘real world’ technology research. Programming for Data Analysis (20 credits) The aim of this module is to help students to develop an understanding of programming and problem-solving strategies, as well as to develop, analyse and critically assess solutions to real-world data analysis problems. Information Security (20 credits) This module aims to provide an insight into the implementation of data security in computer systems and to encourage students to appreciate the practical and theoretical management principles associated with information security. 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.
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. • The need for assessment to allow for review and reflection by the student.
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. Relevance shall be determined by the Programme Director with reference to the applicant’s transcript, and, if required, via an interview. Equivalence shall be determined by: International Office for applicants from outside the European Union. The Programme Director for applicants who present professional qualifications such as from the BCS. Such an applicant would be interviewed by the Programme Director to establish suitability.
English language requirements
| Test | Grade | Additional details |
|---|---|---|
| IELTS (Academic) | 6 | No element lower than 5.5. Academic IELTS test required. |
| PTE Academic | 52 | No element lower than 51 |
| TOEFL (iBT) | 72 | TOEFL Internet required. |
| Cambridge English Advanced | Level B2 | Minimum 169 (no element lower than 162) |
Fees and funding
Tuition fees
| Republic of Ireland | £1140 | Module |
| England | £1140 | Module |
| Northern Ireland | £1140 | Module |
| Scotland | £1140 | Module |
| Wales | £1140 | 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