Artificial Intelligence and Human Factors (MSc)
Validated by Coventry University
Duration
2 years part-timeStudy Mode
OnlineTotal Tuition
£10,440Monthly Payment
£435Qualification
Master’s Degree (MSc / MA / MPH)Start Date
6 intakes per year (Jan, March, May, July, Sep, Nov)Programme Overview
The MSc Artificial Intelligence and Human Factors from Coventry University Online is a 100% online, part-time master's degree designed for professionals and graduates who want to build advanced expertise in artificial intelligence while understanding how AI systems interact with people. The programme combines technical AI development with human-centred design, usability, human-computer interaction, neural networks, Generative AI, software development, AI safety and decision-making. For Caribbean professionals, this combination is particularly relevant as businesses and public-sector organisations across the region increasingly adopt AI for healthcare, financial services, tourism, education, logistics, customer service, cybersecurity and digital government. The programme is delivered over two years part-time and carries 180 credits. Students may also exit with a Postgraduate Diploma (120 credits) or Postgraduate Certificate (60 credits), depending on the credits completed.
The degree is particularly suitable for Caribbean professionals working in IT, computing, software development, cybersecurity, data, digital transformation and technology management, as well as graduates seeking to transition into AI-related careers. There are no formal named specialisations listed by Coventry University; instead, students develop a broad specialism spanning AI systems, neural and evolutionary computing, Generative AI, human factors, human-computer interaction, AI safety and advanced software development. Entry normally requires an honours degree at 2:2 or above, or international equivalent, in a relevant discipline such as computing, computer science, games technology or cybersecurity. The English-language requirement is IELTS 6.5 overall, with at least 5.5 in each component. The published total programme fee is £10,000 for the 180-credit MSc. Spread evenly over the standard 24-month duration, this represents an indicative cost of approximately £416.67 per month, although Coventry offers flexible payment arrangements and advises international students to contact its enrolment team for regional pricing and available discounts. The programme has six intakes annually: January, March, May, July, September and November.
Entry Requirements
Applicants are typically required to possess:
An honours degree (2:2 or above) or international equivalent.
A relevant undergraduate qualification in areas such as:
Computing
Computer Science
Games Technology
Cyber Security
Related technology disciplines
International qualifications considered equivalent to a UK bachelor's degree.
English language proficiency for applicants whose first language is not English (typically IELTS 6.5 overall or equivalent, subject to Coventry University's current admissions requirements).
Multiple entry points are generally available throughout the year, including January, March, May, July, September, and November intakes.
Who is this course for?
This programme is especially appropriate for Caribbean learners who:
Want to move into the rapidly expanding AI and digital technology sector.
Are already working in IT, computing, software development or cybersecurity and want postgraduate-level AI expertise.
Want to transition from traditional technology roles into AI leadership or consultancy.
Are interested in combining technical AI skills with human-centred design and usability.
Want to understand and apply Generative AI, neural networks and advanced AI systems.
Work in sectors such as banking, insurance, healthcare, tourism, telecommunications, logistics, education or government where AI adoption is increasing.
Need a degree that can be completed while continuing to work, without relocating from the Caribbean.
The programme is especially valuable for those wishing to bridge the gap between technical AI development and the human factors that influence adoption, usability, safety, and effectiveness.
Career Opportunities
Artificial Intelligence (AI) Specialist
Machine Learning Engineer
Data Scientist
AI Developer
AI Consultant
Human Factors Specialist
User Experience (UX) Researcher
AI Product Manager
Digital Transformation Manager
Business Intelligence Analyst
Technology Innovation Manager
AI Ethics and Governance Specialist
Programme Highlights
This module develops the mathematical, computational and practical foundations behind neural networks, neural information processing, evolutionary computing and soft computing. Students explore neural network models and algorithms, fuzzy logic and genetic-fuzzy hybrid approaches, while learning how to implement these techniques in code and apply them to complex datasets. The emphasis is not simply on using ready-made AI tools; students develop an understanding of how neural AI methods work so that they can potentially design or adapt algorithms for new problems. For Caribbean professionals, this knowledge can support applications ranging from financial forecasting and customer analytics to healthcare, agriculture, tourism and other data-intensive sectors.
This module examines how AI systems make decisions and how those decisions affect people. Students explore decision-making approaches in simple and complex environments alongside the rapidly developing field of Generative AI. Practical learning includes technologies associated with Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs) and Transformer-based models. The human-factors dimension is particularly important because AI systems must not only be technically capable but also understandable, usable and appropriate for the people and organisations relying on them. For Caribbean organisations adopting AI, this perspective is valuable when implementing AI-powered customer service, financial technology, healthcare systems, education platforms and government services.
This module focuses on human factors, AI-related incidents, safety management and human-autonomy interaction, with particular application to Connected and Autonomous Vehicles (CAVs). Students examine how human processing and performance influence interactions with AI-driven systems and learn to critically evaluate the risks and safety considerations associated with increasingly autonomous technologies. Although autonomous vehicles may be an emerging rather than widespread Caribbean application, the underlying principles are highly transferable to sectors such as aviation, maritime operations, logistics, healthcare, industrial automation and smart infrastructure, where human beings increasingly interact with automated and AI-enabled systems.
This module strengthens students' ability to develop complex, high-performance and scalable software systems using modern software development methodologies, tools and techniques. Rather than focusing exclusively on theoretical concepts, students participate in a team-based software development project that provides practical experience applying advanced development approaches. This is particularly relevant for Caribbean IT professionals because organisations across banking, telecommunications, tourism, government and other sectors increasingly require locally based professionals capable of developing, integrating and managing sophisticated digital and AI-enabled applications.
The Individual Research Project is the largest component of the MSc and provides an opportunity for students to apply their knowledge to an original research problem. Students develop skills in research design, data collection, data analysis and interpretation before producing a dissertation and a software-based product arising from their primary research. The module also develops academic writing, referencing, research ethics and project management skills. For a Caribbean professional, this project could provide an opportunity to investigate an AI challenge relevant to the region—for example, AI in healthcare, financial inclusion, tourism, education, disaster management, agriculture, cybersecurity, public-sector services or customer experience—while developing a practical technology solution.
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