MSCArtificial Intelligence and Human Factors
| Study location | United Kingdom, conventry |
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| Type | Master, full-time |
| Study language | English |
| Awards | MSC |
| Tuition fee | £18,600 per year |
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| Language requirements | English |
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| Other requirements | At least 2 reference(s) should be provided. |
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| More information |
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Overview
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.
Programme structure
AI is the study of the theory and development of computer systems that can perform tasks one would consider as human intelligence, such as visual perception, speech recognition, decision-making, and translation between languages. AI is a broad multidisciplinary field encompassing everything from understanding how people respond to AI to creating and using complex algorithms that mimic how the brain works. It involves many branches of science, technology, engineering and mathematics (STEM).
This course includes a complementary suite of modules related to AI and human factors which aim to provide you with a significant theoretical and practical understanding of AI and the human factors that influence AI, so you can develop AI systems that solve real-world problems.
Modules
Soft Computing Based Artificial Intelligence – 15 credits
Decision Making for AI Systems – 15 credits
Neural Network Systems – 15 credits
Project Management in Engineering Organisations – 15 credits
Security of Emerging Connected Systems – 15 credits
CAV Human Factors – 15 credits
Human Factors and Safety Management – 15 credits
Individual Research Project Preparation – 15 credits
Entrepreneurial Practice – 10 credits
Individual Project – 50 credits
Career opportunities
Studying Artificial Intelligence and Human Factors MSc at Coventry University will give you the chance to examine the core elements of Artificial Intelligence. Our aim is to teach you the skills and knowledge needed to design and develop AI systems that address real-world problems.
This could be the perfect course for those keen to work in the growing AI sector, a sector that is likely to influence society long into the future.
The course will explore elements of AI such as programming, decision support systems, human factors and CAV, deep learning, and AI and security, providing you with opportunities to develop the skills and knowledge needed to work with AI.
We try to provide you with opportunities to learn alongside active researchers in areas such as data science, pervasive computing, distributed computing and application, as well as innovative applications for interactive virtual worlds (subject to availability).
The course has been designed and developed with support from research and industry experts. This helps us ensure we are teaching the most up-to-date content around latest theory and technology associated with AI and Human Factors.