Masters Compare - Find your perfect masters course.
Masters Compare - Find your perfect masters course.
Study Details: 3 years part time.
12-18 months full time, depending on start date.
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.
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.
A range of bursaries, scholarships, loans and grants are available. Please visit website to find out more.
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.
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)
Cardiff Metropolitan University Top University in the UK for Sustainability – People & Planet University League 2022/23 Cardiff Metropolitan Unive...
