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Masters degrees in Artificial Intelligence equip postgraduates with a knowledge of the theory, design, application and development of biologically, socially and linguistically motivated computer systems.
Taught MSc degrees are typical for this field, though research-oriented MRes and MPhil programmes are also available at some institutions. Entry requirements normally include an appropriate undergraduate degree, such as Computer Science or Robotics.
Artificial Intelligence is not simply a case of creating machines with anthropomorphic features. The purpose of this subject is to advance technological innovations to enhance human life in many ways. This could range from designing computer games, to developing new surgical machines, or creating new industrial programming techniques.
You will undertake research projects, applying your knowledge and training to real-world applications. Industrial placements are usually a large component of these programmes, helping you to develop yourself professionally and gain vocational experience.
Consideration is also given to the ethical implications of the development of artificial intelligence, its cultural significance, and the economic structure and governance of the industry.
Careers could include roles developing technology for medicine, agriculture, banking and finance, conservation, policing and government, or even space exploration.
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From software agents used in networking systems to embedded systems in unmanned vehicles, intelligent systems are being adopted more and more often. Read more
The School has a strong international reputation for research in this area and this expertise influences this course which explores current research and practice in artificial intelligence and robotics. Read more
The study of natural and artificial intelligent and adaptive systems is at the heart of rapidly developing areas. These range from artificial intelligence and autonomous robotics to neuroscience, consciousness and cognitive science. Read more
MSc Machine Intelligence builds on the concepts of artificial intelligence and machine learning by creating new systems that more directly provide intelligence than the currently existing digital systems. Read more
This course is relevant for students who already have a strong engineering background and wish to specialise in robotics and automation. Read more
The EIT Digital Master School is a collaboration between the best technical universities in Europe, top European research institutes and leading business partners. Read more
Enrich your first degree and previous relevant experience by developing a focused, integrated and critically aware understanding of underlying theory and current policy and practice in the field of control systems engineering. Read more
Biomedical research generates large volumes of complex data, encompassing. genomics, proteomics, metabolomics, phenotypic data, epidemiology and clinical trial investigations, to inform our understanding of disease mechanisms. Read more