Artificial Intelligence and Human Factors MSc
Coventry University (Coventry)
1 year full-time
The information on this page is for 2022-23 entry and should be used as guidance for 2023-24 entry. Please keep checking back on this course page to see our latest updates.
Study level: Postgraduate
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.
- 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.
Global readyAn international outlook, with global opportunities
Teaching excellenceTaught by lecturers who are experts in their field
EmployabilityCareer ready graduates, with the skills to succeed
Why you should study this course
- 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.
- The design of this course stems from the shortage of skilled AI staff in the UK and beyond. A 2020 report from the World Economic Forum estimated that AI would create a net total of 97 million new jobs by 2025.
What you'll study
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.
Soft Computing Based Artificial Intelligence (15 Credits)
In this module, you should gain a critical understanding of soft computing techniques using fuzzy logic and the genetic fuzzy based hybrid. You will evaluate the strengths of soft computing systems and its impact on the growing field of artificial intelligence.
Decision Making for AI Systems (15 Credits)
This module provides you with an understanding of various approaches and algorithmic tools available to make decisions in several situations: static and dynamic; deterministic and stochastic; and single stage and multiple stage. You will be focus on algorithms that are used to make decisions in simple and complex environments in the framework of utility theory.
Neural Network Systems (15 Credits)
This module allows you opportunities to gain an understanding of the principles of neural information processing and neural network models and algorithms. You will explore mathematical theory for each model and implement several models by writing code and applying it to complex datasets. The focus will mainly be on application-oriented models and learning algorithms.
Project Management in Engineering Organisations (15 Credits)
This module will actively engage you in the understanding of approaches to managing AI projects within engineering organisations. The module should allow you to develop interpersonal skills in technical professionals to improve your effectiveness in future employment.
Security of Emerging Connected Systems (15 Credits)
This module seeks to provide you with an appreciation of information security concepts and an understanding of how they are applied using Internet of Things (IoT) and Mobile Device (MD) technologies. You should gain a thorough understanding of the threats posed to organisations and people due to security risks, and an understanding of the human factors, legal, policy and technical approaches that are necessary to mitigate such risks for AI systems.
CAV Human Factors (15 Credits)
This module introduces you to the key principles of Human Factors when considering autonomous vehicles, and specifically the interaction between such systems and the humans using them. On completion of this module, you should be able to critically evaluate elements of human-autonomy interaction and discuss different aspects of human processing and how this is related to human performance when interacting with Connected Autonomous Vehicles of varying capabilities.
Human Factors and Safety Management (15 Credits)
The purpose of this module is to introduce you to the key principles of Human Factors when considering autonomous vehicles, and specifically the interaction between such systems and the humans using them. The module will look at the societal changes that may result from widespread CAV deployment and the ethical concerns and difficulties that may be encountered.
Individual Research Project Preparation (15 Credits)
In this module, you will identify a suitable topic of study and project supervisor. You will then exercise and extend your skills in gathering, understanding and critically evaluating literature, assessing and acting on relevant ethical and legal issues and applying planning processes for the undertaking of a significant piece of work.
Entrepreneurial Practice (10 Credits)
This module aims to provide you with a framework of knowledge and understanding of how to effectively lead and develop people in a strategic and entrepreneurial way. You will explore for example, the influence and impact of leadership theories, culture, wellbeing, the principles of entrepreneurial practice and understand the different contexts in which entrepreneurship can flourish as well as the characteristics of entrepreneurial leadership within different types of organisational scenarios.
Individual Project (50 Credits)
This module provides you with the opportunity to demonstrate competence in applying the knowledge and skills acquired during the taught part of the course. The module will require investigation and research as core activities, leading to analysis, final summations and insightful recommendations. The project will culminate in a comprehensive, thorough and professional report, documenting the approach, conduct and outcomes of the project.
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
You will have access to modern teaching tools including 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.
Teaching contact hours
Actual teaching contact hours will vary depending on the requirements of a particular semester. In a typical week your contact hours will be divided amongst personal tutorials and group teaching using virtual approaches. The contact hours may be made up of a combination of face-to-face teaching, individual and group tutorials, and online classes and tutorials.
In addition, you will be expected to undertake significant self-directed study each week depending on the demands of individual modules. The number of contact hours may vary from semester to semester, however, on average; it is likely to be around 10 contact hours per week in the first 2 semesters. In Semester 3 you will focus on your project contact hours will be reduced and self-directed study time will increase.
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.
International Experience Opportunities
You will have the opportunity2 to take part in Collaborative Online International Learning (COIL) projects (subject to availability). 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.
Applicants should hold a good honours degree 2:2 or above in a relevant academic discipline, such as computing, computer science, games technology and cyber security.
Each application will be considered on its merits and the final decision will be made by the course director.
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.
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
2023/24 Tuition fees
|Student||Full time||Part time|
|UK||£11,200 per year||Not available|
|International||£18,600 per year||Not available|
For advice and guidance on tuition fees3 and student loans visit our Postgraduate Finance page.
We offer a range of International scholarships to students all over the world. For more information, visit our International Scholarships page.
#JoinYourAIFuture Data Science and Artificial Intelligence Scholarships
The MSc Data Science conversion course and MSc Artificial Intelligence and Human Factors at Coventry University are part of the #JoinYourAIFuture programme, funded by the Office for Students. #JoinYourAIFuture is a national recruitment campaign to help address the shortage of AI and data specialists in the UK. An important aim of the campaign is to increase the number of people from underrepresented groups in the AI and data science fields, and to encourage graduates from diverse backgrounds to consider a future in these occupations.
The Office for Students has made 1,000 scholarships available across a number of Universities to help achieve this aim and applicants to this course at Coventry University may apply for a scholarship of £10,000, to be paid in instalments to assist students with the financial aspects of studying this degree.
Applications for scholarships will initially be reviewed using a points-based system. Priority for these awards will be given to applicants in the following categories:
- Female students
- Black students (as defined by HESA codes: 21; 22; 29; 41; 42)
- Disabled students Consideration will also be given to applicants who meet other underrepresented criteria in the following secondary categories:
- Students from POLAR Q1 and Q2
- Care experienced students
- Estranged students
- Gypsy, Roma, Traveller students
- Children from military families, veterans and partners of military personnel.
Download the scholarship application form.
Download the scholarship application guidance notes for full details of the eligibility requirements and the terms and conditions.
Application deadline of Sunday 20th November 2022
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.
Games Technology lab
High-end gaming PCs with the capacity to run industry standard games engines and programming environments. It also supports Virtual Reality (VR) game development.
Careers and opportunities
Upon 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 utilizing 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.
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.
Where our graduates work
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.
How to apply
To apply to study for a postgraduate course at Coventry University, you can apply online.
For further support or more information about your course get in touch with us today.
Full-time international students applying to start in September should apply directly to the university. Read our application pages to find out your next steps to apply.How to apply
For further support for international applicants applying for postgraduate degree view our International hub.
You can also download our International guide which contains lots of useful information about our courses, accommodation and tips for travel.
Get in touch with us today for further advice and guidance.
The majority of our courses have been formally recognised by professional bodies, which means the courses have been reviewed and tested to ensure they reach a set standard. In some instances, studying on an accredited course can give you additional benefits such as exemptions from professional exams (subject to availability, fees may apply). Accreditations, partnerships, exemptions and memberships shall be renewed in accordance with the relevant bodies’ standard review process and subject to the university maintaining the same high standards of course delivery.
2UK and international opportunities
Please note that we are unable to guarantee any UK or International opportunities (whether required or optional) such as internships, work experience, field trips, conferences, placements or study abroad opportunities and that all such opportunities may be subject to additional costs (which could include, but is not limited to, equipment, materials, bench fees, studio or facilities hire, travel, accommodation and visas), competitive application, availability and/or meeting any applicable travel COVID and visa requirements. To ensure that you fully understand the visa requirements, please contact the International Office.
The University will charge the tuition fees that are stated in the above table for the first Academic Year of study. The University will review tuition fees each year. For Home Students, if Parliament permit an increase in tuition fees, the University may increase fees for each subsequent year of study in line with any such changes. Note that any increase is expected to be in line with inflation.
For International Students, we may increase fees each year but such increases will be no more than 5% above inflation. If you defer your course start date or have to extend your studies beyond the normal duration of the course (e.g. to repeat a year or resit examinations) the University reserves the right to charge you fees at a higher rate and/or in accordance with any legislative changes during the additional period of study.
Facilities are subject to availability. Due to the ongoing restrictions relating to COVID-19, some facilities (including some teaching and learning spaces) may vary from those advertised and may have reduced availability or restrictions on their use.
By accepting your offer of a place and enrolling with us, a Student Contract will be formed between you and the university. The 2023/24 Contract is currently being updated so please revisit this page before submitting your application. The Contract details your rights and the obligations you will be bound by during your time as a student and contains the obligations that the university will owe to you. You should read the Contract before you accept an offer of a place and before you enrol at the university.