The MSc Artificial Intelligence and Human Factors course aims to produce graduates that have the theoretical, technical and transferable skills needed to gain a role in AI. Due to the increasing impact of artificial intelligence (AI) on society, we have seen a growing interest in this subject. We have seen a growth in the application of artificial intelligence in the last few years, with an anticipation that AI will continue to change how we work and live long into the future.The course not only aims to give you a comprehensive understanding of artificial intelligence, but also how such approaches influence the humans who develop and use them.Course content explores two key course themes; the fundamental and advanced theory and practice of AI, and how human factors influence and relate to AI. Content covers fundamental advanced concepts of AI such as Soft Computing Based Artificial Intelligence, Intelligent Decision Making, Neural Network Systems, and Security of Emerging Connected Systems.You will have the opportunity to learn the practical skills of programming using diverse AI programming languages, the use of a spectrum of tools and techniques, as well as the theoretical foundations of AI and human factors.You will be given the opportunity to study various modules related to human factors for AI including Connected and Autonomous Vehicles (CAV), Project Management in Engineering Organization and Human Factors in Safety Management. The area of human factors and AI is not typically considered in many postgraduate courses focused on AI to date.
This course will be assessed using a variety of methods depending upon the module. Assessment methods include coursework, essays, project and group work, viva (where we interview you about work you’ve done), practical exams (for example presentations and tests), and formal examinations. The Coventry University Group assessment strategy ensures that our courses are assessed fairly and allows us to monitor student progression towards achieving the intended learning outcomes.
Qualified teacher status (QTS)
To work as a teacher at a state school in England or Wales, you will need to achieve qualified teacher status (QTS). This is offered on this course for the following level:
- Course does not award QTS
Applicants should hold a good honours degree 2:2 or above in a relevant academic discipline, such as computing, computer science, games technology and cyber security. Each application will be considered on its merits and the final decision will be made by the course director. We recognise a breadth of qualifications; speak to one of our advisers today to find out how we can help you.
Fees and funding
No fee information has been provided for this course