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The MSc Artificial Intelligence and Human Factors course aims to produce graduates that have the theoretical, technical and transferable skills needed to gain a role in AI.
Year of entry
Location
Coventry University (Coventry)
Study mode
Full-time
Duration
1 year full-time
Course code
EECT135
Start date
September 2025
May 2026
At Coventry University, we continuously review the courses we offer to ensure we reflect industry-relevant emerging best practice and technology. As a result, this course is undergoing continuous improvement assessment and will be launched with a renewed curriculum starting in September 2025. Module content and titles will be updated. Course title, learning outcomes and assessments may also change. We expect our new curriculum to be fully updated by January 2025. Please return to this page to see the final course details.
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.
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.
You will have access to modern teaching tools including our online learning platform which is currently Aula, Microsoft 365 and Tophat, using learning techniques such as blended learning and flipped learning to encourage you to explore different state-of-the-art AI topics.
We stress practicality whenever appropriate and try to strike a good balance between theory and application, as well as industrial-related experience and current research topics. A variety of equipment and software are used for these purposes, including HPC clusters and a GPU server purposely built for deep machine learning and neural networks tasks.
You will be given opportunities to work with new AI and usability technology to help develop new AI solutions, at the level of real-world applications. You may get the opportunity to work with staff that have experience of commercial and research AI. You will undertake individual and group-based AI projects. By working in groups, you should have the opportunity to develop large-scale AI projects using AI-based software development methodologies with a focus on human factors within AI. Our students currently use the same AI software and technology that is used in research and industry.
The number of contact hours may vary from semester to semester, however, on average, it is estimated 13 contact hours per week in the taught semesters with self-study approximately 25 hours each week, depending on the demands of individual modules. In Semester 3 you will focus on your project. Contact hours will be reduced and self-directed study time will increase.
As an innovative and enterprising institution, the university may seek to utilise emerging technologies within the student experience. For all courses (whether on-campus, blended, or distance learning), the university may deliver certain contact hours and assessments via online technologies and methods.
Since COVID-19, we have delivered our courses in a variety of forms, in line with public authority guidance, decisions, or orders and we will continue to adapt our delivery as appropriate. Whether on campus or online, our key priority is staff and student safety.
This course will be assessed using a variety of methods depending upon the module. Assessment methods include coursework, essays, project and group work, viva (where we interview you about work you’ve done), practical exams (for example presentations and tests), and formal examinations.
The Coventry University Group assessment strategy ensures that our courses are assessed fairly and allows us to monitor student progression towards achieving the intended learning outcomes.
You will have the opportunity2 to take part in Collaborative Online International Learning projects. These COIL projects are included within the curriculum and provide you with an opportunity to interact with international universities and industry professionals. COIL projects provide you with the opportunity to develop your intercultural competences and digital skills, while working with others on AI-related development activities.
Typical offer for 2024/25 entry.
Student | Full-time | Part-time |
---|---|---|
UK, Ireland*, Channel Islands or Isle of Man | 2025/26 fees TBC 2024/25 fees -£11,200 per year |
Not available |
EU | 2025/26 fees TBC 2024/25 fees - £11,200 per year with EU Support Bursary** 2025/26 fees TBC 2024/25 fees -£18,600 per year without EU Support Bursary** |
Not available |
International | 2025/26 fees TBC 2024/25 fees -£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:
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.
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.
We offer modern facilities4, including specialist computing labs with high-performance hardware along with the utilisation of industry-standard AI software. The faculty of Engineering, Environment and Computing has multifunctional teaching and research buildings that aim to offer high quality learning of AI theory and practice.
The Cisco lab is used for working with general networking and towards accreditation by CISCO. Optional modules allow students to work in the lab to develop skills in preparation for the CISCO certification exam.
Provide a cutting edge virtualisation environment that can be used to create entire virtual networks, complete with services, users and even attackers. Students can access this environment from anywhere on or off campus.
High-end gaming PCs with the capacity to run industry standard games engines and programming environments. It also supports Virtual Reality (VR) game development.
Upon successful completion of the course, you will be able to:
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.
This master’s course aims to provide you with the capability to develop Artificial Intelligence solutions with a focus on human factors to aid society. As a result, you should gain the skills for roles in a wide range of sectors that will benefit from artificial intelligence such health and medicine finance, marketing, academia, scientific research, transportation, telecommunications, space and military.
Given that artificial intelligence is such a new and evolving field, there are various opportunities for graduates to explore, such as creating start-up companies to develop their own ideas. Artificial Intelligence Experts are currently in short supply and there is high demand for Artificial Intelligence and Human Factors skills from companies and research institutions.
Should you wish, upon successful completion of this course you will be in an ideal position to take up PhD research in AI and Human Factors. AI and Human Factors are hot topics in research and so the opportunity is there to join this vibrant research community.