Master of Science in Artificial Intelligence University of Plymouth, UK

MSc Artificial Intelligence (AI) incorporates elements of the theoretical underpinnings of AI along with exposing students to the practical considerations of constructing AI software tools. Students will study deep technical modules on topics including machine learning, computational intelligence, computer vision and big data, while studying modules on applied AI and robotics to gain an appreciation of the wide range of industrial applications AI has in the modern world.

Students will learn a variety of cutting edge AI topics including machine learning, computational intelligence, computer vision and robotics. In all modules there is a focus on industrial problem solving with AI, and you will complete a dissertation in which you will conduct a deep exploration of a topic of your choice. Throughout your studies you will gain practical experience of constructing AI using both existing tools and innovating new methods from first-principles.

Key features

• The programme has the potential for students to tailor their degree towards the industry in which they wish to apply their AI knowledge by selecting and exploring industry-relevant data sets and problems.
• A combination of module types, including technical modules facilitating a deep-dive into cutting-edge AI technologies and providing experience in constructing AI software from first principles, alongside theoretical modules providing insight into the field of AI as a whole.
• An embedded research-informed teaching experience offering state-of-the-art knowledge, skills and practice, delivered by internationally recognised and world-leading academics. Students will work directly with these academics, receiving education, support and guidance from researchers at the forefront of AI research.
• Excellent facilities for conducting research and project work in AI and robotics, including a range of state-of-the-art robotics laboratories, recently-updated computing facilities and the new engineering design facility, all of which provide an inclusive learning environment.
• The programme incorporates a substantial element of practical and production-based work, resulting in an end product of industrial quality that solves a relevant problem. The programme’s assessment is inclusive, being completely coursework and practice-based, and providing authentic and holistic means of assessing progress.
• We promote learning through practice and doing, and a prominent feature of the programme is a dissertation module that enables students to draw together the rest of their taught content to produce outputs of a professional and publishable standard.
• As a result of our industrial links students have excellent employment opportunities with a wide variety of organisations. These include both providers and consumers of AI.