This online MSc in Artificial Intelligence is ideal if you are motivated by the challenges and infinite possibilities of advancing AI. It is designed to give professionals from computer science – as well as a host of other disciplines – the opportunity to specialise in AI and meet the increasing demand for experts in this exciting, future-focused and rapidly growing specialism.
In recent years, Artificial Intelligence is significantly more closely connected with human progress and societal change. It calls on new and powerful data algorithms to ensure that intelligent machines work in closer collaboration with us than ever before.
AI is evolving at a rapid pace. It has a broad application across a variety of business functions, including marketing and policymaking, finance and healthcare. This online MSc also addresses the ethical implications of advancing machine intelligence, and related issues around transparency and accountability. These are factors that have previously been overlooked by many in the rush to extend the possibilities of technology.
· Top 10 for course satisfaction for computer science and information systems in The Guardian University Guide 2022
· Top 10 in the UK for Computer Science by the Complete University Guide 2022
In order to help you to take advantage of a wide range of future career opportunities, the online MSc in Artificial Intelligence contains a broad range of practical subjects, such as programming, data science and robotics. This enables a comprehensive understanding of AI and its application in the real world.
You can opt to take two specialist pathways: a general pathway focused on AI in context, with the other exploring technical aspects of AI in further depth. As a result, whether you’re seeking to fill the digital skills gap or eager to learn about the latest breakthroughs in AI, this course will challenge your thinking and give you the tools to apply your knowledge into practice.
· Principles of Programming for Artificial Intelligence (10 credits)
· Mathematics for Artificial Intelligence (10 credits)
· Foundations of Artificial Intelligence (10 credits)
· Applications of Artificial Intelligence (10 credits)
· Humans and Intelligent Machines (10 credits)
· Introduction to NLP (10 credits)
· Artificial Intelligence Systems Engineering (10 credits)
· Further Artificial Intelligence (10 credits)
· Research Seminar and Project Preparation (10 credits)
· Dissertation (60 credits)
Optional Units: General Pathway
· Machine Learning (10 credits)
· Artificial Intelligence as a Social and Political Practice (10 credits)
· Robotics (10 credits)
Optional Units: Technical Pathway
· Foundations and Frontiers of Machine Learning (10 credits)
· Reinforcement Learning (10 credits)
· Robotics and Machine Vision (10 credits)
The course is delivered remotely and entirely online. Learning material is made available to students via a Virtual Learning Environment (VLE). Assessments are conducted online, also through the VLE. Students study one unit at a time, and learning support is provided through electronic discussion forums and live tutorial sessions.
Imperial College London
September 01, 2022
King’s College London
King's College Hospital, Denmark Hill, London, UK
October 01, 2022
Lancaster University, Bailrigg, Lancaster, UK
October 01, 2022