Autonomous Robotic Intelligent Systems
Entry requirements
Normally a first-class or second-class honours degree (or international equivalent) in electronic, electrical, communications or design manufacture engineering, or a science-related subject.
Months of entry
September
Course content
This MSc will equip students with the applied, industry-relevant expertise to capitalise upon career opportunities in technology innovation. You will:
- develop advanced knowledge of autonomous systems and machine learning, with a strong emphasis on real-world applications in robotics, sensor networks, and digital manufacturing
- build specialist skills in emerging intelligent technologies, including self-sustaining devices designed for the Internet of Things (IoT), Ubiquitous Computing, and Industry 4.0 environments
- gain hands-on experience guided by industry experts, offering practical insights into the challenges and innovations shaping today’s technology landscape
- foster a comprehensive understanding of system-level design, big data analytics, and cutting-edge developments in artificial intelligence (AI)
Autonomous systems, artificial intelligence (AI), and modern robotics are transforming industries and redefining how we live and work. Recognised as foundational technologies for the future, their influence is already being felt across a wide range of sectors—from manufacturing, energy, and defence to healthcare, infrastructure, agriculture, and the food and drink industry. As these technologies continue to evolve, so too does the demand for skilled professionals who can harness their potential to solve complex, real-world problems.
This MSc is designed to equip you with the applied, industry-relevant expertise needed to thrive in this dynamic and fast-growing field. Whether you're aiming to launch a career in robotics, smart manufacturing or intelligent systems design, this course provides the technical foundation and practical experience to help you succeed in the multi-billion-dollar global market for robotics and smart machines.
Delivered jointly by the Departments of Electronic & Electrical Engineering, and Design, Manufacturing & Engineering Management, the course offers a truly interdisciplinary learning experience. You’ll benefit from the combined strengths of both departments—gaining insights from leading academics in autonomous and intelligent control, digital manufacturing, and systems design engineering.
Department of Electronic & Electrical Engineering Online Drop in Sessions
Thinking about taking the next step with an MSc at Strathclyde? We would love to meet you.
Before you submit your application, or even after you have received an offer, join us for an informal online drop-in session. This is a relaxed opportunity to chat directly with academic staff and ask questions about our MSc programmes.
Our drop in sessions take place fortnightly, every other Monday from 11am-12pm (UK time). They will take place via Microsoft Teams.
Find out more and register now to be sent the Teams link to attend.
Fees and funding
Available scholarships can be found online.
Qualification, course duration and attendance options
- MSc
- full time12 months
- Campus-based learningis available for this qualification
Course contact details
- Name
- Engineering Admissions
- eng-admissions@strath.ac.uk
- Phone
- +44 (0)141 574 5484