Artificial Intelligence and Human Factors MSc

Study level: Postgraduate
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Equip yourself with the theoretical, technical and transferable skills needed for a successful career in artificial intelligence (AI). 

Year of entry

Location

Coventry University (Coventry)

Study mode

Full-time

Duration

1 year full-time

Course code

EEST059

Start date

September 2025


Course overview

The increasing impact of AI on society has spurred significant interest in this field. We are witnessing continued growth in AI applications, and it's anticipated that AI will continue to reshape how we work and live for years to come. 

This course aims to equip you with both theoretical knowledge and practical skills in AI, with a strong emphasis on the impact of AI on human developers and users.

  • Gain a deep understanding of AI and its influence on humans.
  • Explore advanced AI concepts such as soft computing, neural networks, and security.
  • Develop practical programming skills and learn to utilise diverse AI tools and techniques.
  • Course content covers programming, decision support systems, human factors, connected autonomous vehicles, deep learning and AI security.
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5 QS Stars for Teaching and Facilities

QS Stars University Ratings

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Ranked 9th Modern University in UK by the Times

The Times and Sunday Times Good University Guide 2025

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Ranked 8th for Overall Satisfaction in PTES

Postgraduate Taught Experience Survey (PTES) 2024

Why you should study this course

  • Gain the skills and knowledge to design and develop AI systems that address real-world problems.
  • Engage with experts in data science, computing and innovative virtual world applications.
  • 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.

What you'll study

AI involves developing computer systems that perform tasks requiring human intelligence, such as visual perception, speech recognition, decision-making, and language translation. This multidisciplinary field spans STEM disciplines, focusing on human responses to AI and creating complex algorithms mimicking brain functions.

The course offers modules on AI and human factors, providing significant theoretical and practical understanding to develop AI systems that address real-world problems. 

Modules

We regularly review our course content, to make it relevant and current for the benefit of our students. For these reasons, course modules may be updated.


How you'll learn

Teaching and learning methods may include:

  • workshops
  • lectures
  • seminars
  • tutorials
  • presentations
  • group projects.

Teaching contact hours

As a full-time postgraduate student, you will study modules totalling 180 credits each academic year. A typical 30-credit module requires a total of 300 hours of study. Study hours are made up of teaching contact hours, and guided and independent study.

Teaching hours

Teaching hours may vary, depending on where you are in your studies, but on average you will have between 8 and 12 teaching and learning hours each week. You will also have the opportunity to attend optional sessions including time with a Success Coach or to meet with staff for advice and feedback.

Guided and independent study

Throughout your studies, you will be expected to spend time in guided and independent study to make up the required study hours per module. You will be digging deeper into topics, reviewing what you’ve learnt and completing assignments. This can be completed around your personal commitments. As you progress to the end of your studies, you’ll spend more time on independent learning.

Online learning

As an innovative university, we use different teaching methods, including online tools and emerging technologies. So, some of your teaching hours and assessments may be delivered online.

Assessment

This course will be assessed using a variety of methods which could vary depending on the module. Assessment methods may include:

  • essays
  • coursework
  • portfolios
  • project and group work.

The Coventry University assessment strategy aims to ensure that our courses are fairly assessed and allows us to monitor student progression towards achieving the intended learning outcomes. 


Entry requirements

Typical entry requirements:

An honours degree 2:2 or above (or international equivalent) in a relevant discipline such as computing, computer science, games technology or cyber security.

We recognise a breadth of qualifications; speak to one of our advisers today to find out how we can help you.

Select your region to find detailed information about entry requirements:


You can view our full list of country specific entry requirements on our Entry requirements page.

Alternatively, visit our International hub for further advice and guidance on finding in-country agents and representatives, joining our in-country events and how to apply.

Typical entry requirements

An honours degree 2:2 or above (or international equivalent) in a relevant discipline such as computing, computer science, games technology or cyber security.

English language requirements

  • IELTS: 6.5 overall, with no component lower than 5.5. 

If you don't meet the English language requirements, you can achieve the level you need by successfully completing a pre-sessional English programme before you start your course. 

For more information on our approved English language tests visit our English language requirements page.


Fees and funding

Student Full-time Part-time
UK, Ireland*, Channel Islands or Isle of Man £11,200 per year Not available
EU £11,200 per year with EU Support Bursary**
£18,600 per year without EU Support Bursary**
Not available
International £18,600 per year Not available

For advice and guidance on tuition fees3 and student loans visit our Postgraduate Finance page and see the university's Tuition Fee and Refund Terms and Conditions.

We offer a range of International scholarships to students all over the world. For more information, visit our International Scholarships page.

Tuition fees cover the cost of your teaching, assessments, facilities and support services. There may be additional costs not covered by this fee such as accommodation and living costs, recommended reading books, stationery, printing and re-assessments should you need them.

The following are additional costs not included in the tuition fees:

  • Any optional overseas field trips or visits: £400+ per trip.
  • Any costs associated with securing, attending or completing a placement (whether in the UK or abroad).

*Irish student fees

The rights of Irish residents to study in the UK are preserved under the Common Travel Area arrangement. If you are an Irish student and meet the residency criteria, you can study in England, pay the same level of tuition fees as English students and utilise the Tuition Fee Loan.

**EU Support Bursary

Following the UK's exit from the European Union, we are offering financial support to all eligible EU students who wish to study an undergraduate or a postgraduate degree with us full-time. This bursary will be used to offset the cost of your tuition fees to bring them in line with that of UK students. Students studying a degree with a foundation year with us are not eligible for the bursary.


Facilities

We offer modern facilities including specialist computing labs with high-performance hardware along with the utilisation of industry-standard AI software.

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Lanchester Library

The library is usually open 24/7, in term-time. It’s where you can access your course’s specialist Academic Liaison Librarian. It’s also home to specialist teams which can support you with your academic writing and maths and statistics questions.

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The Hub

The Hub is the centre of student life on campus. Facilities include a food court, convenience store, multi-faith centre, medical centre, hairdresser, coffee shops and the Your SU offices. It has fully licensed function spaces and a bar.

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Careers and employability

Get one-on-one career and employability guidance lasting up to 36 months from the end of your course. We’ll help you find placements and graduate roles, offer CV and application checks, mentoring, skills workshops, employer events and more.

Facilities are subject to availability. Access to some facilities (including some teaching and learning spaces) may vary from those advertised and/or may have reduced availability or restrictions where the university is following public authority guidance, decisions or orders.


Careers and opportunities

On successful completion of this course, you could find yourself working in roles including:

  • AI Human-centred Researcher
  • AI and Software Developer
  • Data Analyst
  • Logistics professional.

On 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 utilising 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.

Where our graduates work

Successful graduates of this course have gone on to work for companies such as:

  • Human Factors Research Group
  • Rebellion Games
  • Infosys
  • Coventry University Group.

How to apply

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