Robotics & Artificial Intelligence Master's Degree - MSc/PgD/PgC

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.

Our academic staff lead engaging lectures, workshops, and lab sessions, fostering a dynamic learning environment that encourages innovation and critical thinking. Your Programme Director provides further pastoral and academic support, guiding students through their studies and signposting to other services such as career development. Additionally, our wider student support teams – including wellbeing services and technical staff – are on hand to offer comprehensive assistance, ensuring students have the resources and support needed to thrive.

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.

The need for trained experts in Robotics and Artificial Intelligence is growing globally.

The learning, teaching, assessment and feedback of the MSc in Robotics and AI are designed to develop a professional portfolio of project work and robotics & AI artefacts as students move into graduate employment.

This innovative programme is built with emphasis on work-based learning towards employability, ethical and social entrepreneurship. It aims to develop professionals and entrepreneurs with a global knowledge of a wide range of robotics and AI theories and scientific applications through the lenses of social entrepreneurship.

Opportunities for short term mobility and internships will provide an enhanced learning experience and a portfolio of real-world projects that graduates can take into their chosen careers.

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.

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.

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.​

How to Apply

Applications for this course should be made direct to the University via our self-service facility. For further information please visit our How to Apply pages at www.cardiffmet.ac.uk/howtoapply.

International Applicants

Before making an application, international students should contact the International Office at Cardiff Met to discuss the necessary procedures in relation to studying with us. For further information visit www.cardiffmet.ac.uk/international.

Tuition Fees and Financial Support

For up to date information on tuition fees and the financial support that may be available. Please refer to www.cardiffmet.ac.uk/fees.

Part-time Fees

Charges are per Single Module unless specified:
Undergraduate = 10 Credits; Postgraduate = 20 Credits

Generally we find most students will complete 60 credits per year for both Undergraduate and Postgraduate study; to obtain a true costing please clarify this by contacting the Programme Director directly.

For general enquiries please contact the Admissions Team on 029 2041 6044 or email askadmissions@cardiffmet.ac.uk.

For course specific enquiries, please contact the Programme Director, Dr Shadan Khattak: SKhattak@cardiffmet.ac.uk