Master in Robotics & AI

Founded in 1451 and located in Glasgow, the University of Glasgow is one of the United Kingdom's oldest research-intensive universities, welcoming over 34,800 students to a historic yet forward-looking campus. With nearly 300 distinct programs spanning the arts, sciences, engineering and social sciences, the university combines deep academic traditions with contemporary teaching methods. Its city setting offers a lively cultural and professional scene for student life.

Students benefit from strong research links, industry collaborations and opportunities for work-integrated learning across disciplines. The university's teaching emphasizes critical thinking and practical application, supported by modern facilities and extensive library and laboratory resources. International students find a broad choice of programs, academic support services, and active societies that foster intellectual growth and community engagement.

Prospective international applicants receive tailored guidance on admissions, scholarships and visas, alongside orientation programs that help with settling into Glasgow. The university's global alumni network and career services support transitions into employment or further study, making it an appealing choice for students who want robust academic training in a dynamic, multicultural UK city.

The Master in Robotics & AI at the University of Glasgow is a 1-year degree for students who want to work in robotics and artificial intelligence. This program helps students gain advanced knowledge and skills in areas like control systems, machine learning, and robotics design.

The curriculum includes core courses like Robotics Foundations, Control, and Robotics Team Design Project. Students also take part in project and team work, and undertake an individual project with an academic in Engineering or Computer Science. Optional courses cover topics like Advanced Control, Autonomous Vehicle Guidance Systems, and Artificial Intelligence.

Graduates of this program can pursue careers as software engineers, machine learning engineers, automation engineers, data scientists, and robotics scientists. They can work in industries like pharmaceuticals, finance, and technology, or as AI research scientists or video game programmers.