Artificial Intelligence and Human Factors MSc

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 Organisation 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.

Upon successful completion of the course, you will be able to:

• Develop competencies in soft computing, usability, neural networks, decision-making, and user interface for intelligent autonomous systems.
• Analyse a variety of problems and opportunities utilizing these concepts and provide solutions focused on satisfying customer requirements.
• Contribute to the emerging intelligent autonomous systems industry.
• Develop relevant technical skills in emerging technologies to adapt to the challenges in the computing related field in a global context.
• Critically assess the use of CAVs to address and mitigate societal challenges, improving environmental and social welfare at the local and global level.
• Effectively communicate research, concepts, solutions and recommendations, and demonstrate a professional approach to presentations, teamwork and leadership.
• Critically evaluate and develop solutions to complex, inter-related, multi-faceted issues that can be found in a variety of organisations and professional contexts.

We aim to produce graduates ready to take advantage of the current growth in AI career opportunities. Successful graduates may find themselves taking up roles as AI experts, machine learning modellers, data scientists, human factor designers, Internet of Things programmers, or developers of autonomous cars.

Given the ever-changing natural of AI, it is likely that successful graduates of this course will work in an industry that continues to progress and develop. The Royal Society and British Academy identified different categories of new AI jobs including ‘trainers’ (those training AI systems), ‘explainers’ (those understanding AI outputs for accountability), and ‘sustainers’ (those monitoring AI systems). Although it is likely that successful graduates will go to work in the AI sector, there could also be opportunities to work in other sectors due to learned transferable skills from this course, including problem-solving and decision-making.