Master in Machine International Intelligence

The University of Greenwich in London, founded in 1890, provides an accessible and vibrant educational experience in one of the world’s most dynamic cities. With nearly 20,000 students and more than 3,500 international students, Greenwich combines a diverse student body with historic riverside campuses and modern teaching facilities. Its central London setting offers easy access to cultural institutions, business hubs and internship opportunities across numerous sectors.

Offering around 224 programs across undergraduate and postgraduate levels, the university covers disciplines from business and engineering to the arts and health professions. Academic learning is complemented by industry-focused modules, placements and career services that support employability and professional development. International support services include orientation, language help and visa advice, helping students transition smoothly into life and study in the UK.

Students benefit from strong links with employers, active student societies and a supportive teaching environment that balances lectures with practical workshops and real-world projects. Greenwich’s emphasis on preparing graduates for the workforce, combined with London’s global networks and cultural richness, makes the university a practical choice for international students seeking quality education, professional experience and an engaging urban student life.

The Master in Machine International Intelligence at the University of Greenwich, London is a 1-year program for students with a Bachelor's degree. This Master's degree helps students develop skills in machine sensing and intelligent distributed systems.

The curriculum includes compulsory modules like Developing Funding and Commercialising Technology, Design of Advanced Electronic Systems, and Machine Sensing. Students also work on an Individual Research Project and learn about Human & Machine Robotics and Securing Technologies.

Graduates can pursue careers as Robotics Engineers, Artificial Intelligence Developers, Machine Learning Researchers, or Systems Engineers. They can work in industries like technology, healthcare, or finance, for employers such as tech startups or research institutions.