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Students
Tuition Fee
GBP 18,600
Per year
Start Date
2025-09-01
Medium of studying
On campus
Duration
12 months
Program Facts
Program Details
Degree
Masters
Major
Artificial Intelligence | Computer Science
Area of study
Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
GBP 18,600
Intakes
Program start dateApplication deadline
2025-09-01-
About Program

Program Overview


Artificial Intelligence and Human Factors MSc

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.


What You'll Study

  • 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.

Modules

  • Neural and Evolutionary Computing - 30 credits
    • 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.
  • AI Systems and Human Factors - 30 credits
    • This module focuses on decision-making in AI systems and Generative AI, along with the implications for human factors.
    • Gain an understanding of various approaches and algorithmic tools available for making decisions in both simple and complex environments.
    • Gain hands-on experience with techniques and tools used to create generative systems such as Generative Adversarial Networks (GANs), Variational Autoencoders (VAEs) and Transformer-based models.
  • Human Factors for CAV and Safety Management - 30 credits
    • Explore the key principles of Human Factors when considering incidents related to AI, and how to manage and ensure safety.
    • Learn to critically evaluate elements of human-autonomy interaction and consider different aspects of human processing and performance when interacting with AI systems such as Connected and Autonomous Vehicles (CAVs).
  • Advanced Software Development - 30 credits
    • This module provides a detailed overview of the advanced techniques, methodologies, and tools required by modern software development.
    • Through a team-based software development project you will engage in practical application of these tools and skills to develop complex, high-performance, and scalable software systems.
  • Individual Research Project – 60 credits
    • This module will provide a comprehensive understanding of research methodologies, data collection, analysis and interpretation techniques culminating in the production of a dissertation and a software-based product which is the outcome of primary research.
    • Learn about different research designs, data collection methods, and analysis techniques.
    • The module also emphasises the importance of ethical research practices and effective time management.
    • We will provide guidance on dissertation structure, academic writing and referencing.

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:


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


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.


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** | Not available £18,600 per year without EU Support Bursary** | Not available International | £18,600 per year | Not available


For advice and guidance on tuition fees 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.


Facilities

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


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.

Program Outline

Extracted Information from the MSc Artificial Intelligence and Human Factors Course at Coventry University

Degree Overview:

  • The program aims to produce graduates with the theoretical, technical, and transferable skills needed to secure employment in the AI sector.
  • It focuses on addressing the growing impact of AI on society.
  • The program provides a comprehensive understanding of AI theory and practice, as well as its influence on human development and use.
  • Course content explores both the fundamental and advanced aspects of AI, including Soft Computing Based Artificial Intelligence, Intelligent Decision Making, Neural Network Systems, and Security of Emerging Connected Systems.
  • Practical skills development includes programming using diverse AI languages, utilization of tools and techniques, and understanding the theoretical foundations of AI and human factors.
  • Students have opportunities to explore human factors for AI, such as Connected and Autonomous Vehicles (CAV), Project Management in Engineering Organisation, and Human Factors in Safety Management.
  • The inclusion of human factors is uncommon in many postgraduate AI programs.
  • ## Outline:
  • Modules:
  • Soft Computing Based Artificial Intelligence (15 credits) - Covers the strengths of soft computing systems and their impact on AI.
  • Decision Making for AI Systems (15 credits) - Explores various approaches and algorithms for decision-making.
  • Neural Network Systems (15 credits) - Provides an understanding of neural information processing, models, and algorithms.
  • Project Management in Engineering Organisations (15 credits) - Focuses on managing AI projects within engineering organizations and developing interpersonal skills for technical professionals.
  • Security of Emerging Connected Systems (15 credits) - Addresses information security concepts and their application using IoT and mobile technologies.
  • CAV Human Factors (15 credits) - Introduces the key principles of Human Factors in the context of autonomous vehicles and their interaction with humans.
  • Human Factors and Safety Management (15 credits) - Explores the societal changes and ethical concerns associated with the widespread use ofCAVs.
  • Individual Research Project Preparation (15 credits) - Guides students in identifying a research topic and supervisors, gathering and evaluating literature, and planning a significant research project.
  • Entrepreneurial Practice (10 credits) - Explores leadership, team development, and entrepreneurial principles.
  • Individual Project (50 credits) - Provides an opportunity to apply acquired knowledge to a significant research project and produce a comprehensive report.
  • Course content may be subject to updates.
  • Emphasis on practicality and balance between theory and application.
  • Utilize modern equipment and software like HPC clusters and GPU servers for AI development.
  • Opportunity to work with new AI and usability technology for real-world applications.
  • Potential collaboration with experienced AI research and industry professionals.
  • Individual and group-based AI projects.

Assessment:

  • Assessments vary depending on the module.
  • Methods include coursework, essays, projects, group work, viva, practical exams, and formal examinations.
  • University assessment strategy ensures fairness and monitors student progress towards learning outcomes.

Teaching:

  • Modern teaching tools including online platforms, Aula, Microsoft 365, Tophat.
  • Blended and flipped learning techniques encourage exploration of AI topics.
  • Balanced approach to theoretical and practical aspects of AI, including industrial and research elements.
  • Variety of equipment and software used, including HPC clusters and GPU servers for deep machine learning and neural networks.
  • Opportunity to work with AI software and technology used in research and industry.
  • Estimated 13 contact hours per week during taught semesters, with approximately 25 hours of self-study per week depending on individual modules.
  • Reduced contact hours and increased self-study during the final semester dedicated to the project.

Careers:

  • Graduates are prepared for the current growth in AI career opportunities.
  • Potential roles include AI experts, machine learning modellers, data scientists, human factor designers, Internet of Things programmers, and autonomous car developers.
  • Program aims to equip graduates for the evolving nature of the AI industry.
  • Opportunities for graduates to create their own AI-focused start-up companies.
  • Current high demand for AI and Human Factors skills.
  • Potential for PhD research opportunities in AI and Human Factors.
  • Career opportunities span a wide range of sectors, including healthcare, finance, marketing, academia, scientific research, transportation, telecommunications, space, and the military.

Other:

  • The program provides the capability to develop AI solutions with human-centric focus to benefit society.
  • Students are trained to solve complex, inter-related issues in various organizational and professional contexts.
  • Program content is subject to ongoing review to ensure relevance and currency.
  • AI and Human Factors are emerging research areas with potential for further exploration and innovation.

Tuition Fees and Payment Information:

  • UK, Ireland , Channel Islands or Isle of Man: £11,200 per year
  • £18,600 per year without EU support bursary
  • International: £18,600 per year
  • 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.

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Overview:

  • Founded in 1843 as the Coventry School of Design
  • Received university status in 1992
  • Over 30,000 students from over 150 countries
  • Campuses in Coventry, London, and Scarborough
  • Known for its focus on practical, industry-focused education

Student Life:

  • Over 150 student clubs and societies
  • Sports teams in various disciplines
  • Student support services include counseling, mental health support, and disability support
  • Campus facilities include a gym, swimming pool, and student union

Academics:

  • Offers undergraduate and postgraduate degrees in a wide range of subjects
  • Faculty with industry experience and research expertise
  • Teaching methodologies include lectures, seminars, workshops, and project-based learning
  • Academic support services include writing centers, math labs, and peer mentoring
  • Unique academic programs include:
    • Centre for Applied Science and Technology
    • Centre for Business in Society
    • Centre for Intelligent Systems

Top Reasons to Study Here:

  • Ranked among the top 150 universities in the UK (Times Higher Education World University Rankings 2023)
  • Excellent industry connections and partnerships
  • Specialized facilities such as the National Transport Design Centre and the Centre for Advanced Manufacturing
  • Notable alumni include:
    • Sir Frank Whittle, inventor of the jet engine
    • Sir David Attenborough, naturalist and broadcaster
    • Sir Patrick Stewart, actor

Services:

  • Counseling and mental health support
  • Health center
  • Accommodation services
  • Library with over 1 million books and resources
  • Technology support
  • Career development services

Total programs
698
Admission Requirements

Entry Requirements:


UK:

  • Applicants should hold an honours degree 2:2 or above in a relevant academic discipline, such as
  • Computing
  • Computer science
  • Games technology
  • Cyber security

The final acceptance decision rests with the course director. For personalized assistance and guidance regarding eligibility, applicants are encouraged to consult with university advisors.

Language Proficiency Requirements:


English Language Requirements:

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

For detailed information on approved English language tests:

  • English language requirements page
  • ### Additional Notes:
  • Entry requirements and language proficiency expectations are subject to modification.
  • It is strongly recommended to check the official course page and university website for the most accurate and up-to-date information before making application decisions.
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