MSc Artificial Intelligence and Human Factors

Program Overview

Coventry University's MSc Artificial Intelligence and Human Factors program equips graduates with the skills to navigate the growing AI sector. It combines theoretical and practical knowledge in AI, human factors, and their societal impact. The program emphasizes hands-on experience, utilizing modern equipment and software, and offers opportunities for collaboration with industry professionals. Graduates are prepared for diverse AI-related careers, including AI experts, data scientists, and human factor designers.

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.