
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 / MBA / 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 is designed to provide students with advanced knowledge of artificial intelligence while exploring the critical relationship between AI systems and the people who develop, use, and are impacted by them. The programme combines theoretical and practical AI concepts with human-centred design principles, enabling students to understand how technologies such as neural networks, intelligent decision-making systems, machine learning, and emerging digital technologies can be developed responsibly, ethically, and effectively. The course places particular emphasis on understanding human behaviour, usability, safety, and the societal impact of AI-driven systems.
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 ideal for graduates and professionals seeking to develop expertise in both artificial intelligence technologies and human-centred system design. It is particularly suitable for individuals who want to understand not only how AI works but also how AI interacts with people, organizations, and society.
Suitable for:
Computing and Computer Science graduates
Software Developers and Engineers
Cyber Security professionals
Data Analysts and Data Scientists
User Experience (UX) and Human-Computer Interaction specialists
Technology Consultants
Digital Transformation professionals
Researchers interested in Human-Centred AI
Professionals seeking careers in AI development, AI governance, or intelligent systems design
Individuals interested in ethical and responsible AI implementation
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
Gain an understanding of the principles of neural information processing, neural network models and algorithms, soft computing techniques using fuzzy logic, and the genetic fuzzy based hybrid. Learn the mathematical theory behind each model, write code to implement them and apply these models to complex datasets. Learnings focus on application-oriented models and gain an understanding of neural AI methods to develop new algorithms when needed, rather than just using off-the-shelf tools.
Compulsory
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