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Robotics and Artificial Intelligence at Cardiff Metropolitan University - UCAS

Cardiff Metropolitan University

Degree level: Postgraduate
Awarded by: Cardiff Metropolitan University (Prifysgol Metropolitan Caerdydd)

Robotics and Artificial Intelligence (Taught)

Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

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. 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. 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.

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)
Optional modules:
  • Sensors and Actuators (20 credits)
  • Frontiers in Technology (20 credits)
  • Programming for Data Analysis (20 credits)
  • Information Security (20 credits)
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. 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. Equivalence shall be determined by: International Admissions Team for applicants from outside the United Kingdom. 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. 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. Students with extant level 7 qualifications wishing to enter the course may apply on the basis of RPL for admission with Credit. In such cases the regulations detailed in the Academic Handbook will apply and allows for a maximum RPL of 120 credits on a Master’s programme. In this case the remaining 60 credits would consist of the research methods module and the dissertation. The admissions process is controlled by Cardiff Metropolitan University’s centralised admissions team in consultation with the Programme Director. All applications from International students will be subject to an initial assessment of academic qualifications, English Language proficiency and overall suitability for the programme by the International Admissions Teams. However, the final decision remains the responsibility of the Programme Director.​


English language requirements

TestGradeAdditional details
IELTS (Academic)6No element lower than 5.5. Academic IELTS test required.
PTE Academic52No element lower than 51
TOEFL (iBT)72TOEFL Internet required.
Cambridge English AdvancedLevel B2Minimum 169 (no element lower than 162)

Fees and funding

Tuition fees

Republic of Ireland £11000 Whole course
England £11000 Whole course
Northern Ireland £11000 Whole course
Scotland £11000 Whole course
Wales £11000 Whole course
EU £17600 Whole course
International £17600 Whole course

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.
Robotics and Artificial Intelligence at Cardiff Metropolitan University - UCAS