Artificial Intelligence and Human Factors MSc

Program Description

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.

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.

Admission Requirements

  • Indian Students-Students must achieve 60% in a 3 Year Undergraduate Degree or 55% in a 4 Year.Undergraduate Degree Students from the following Universities will be considered with 55% in a 3 Year Undergraduate Degree (unless applying for Health and Life Science courses): Delhi, Mumbai, Kolkata, Chennai (Madras), Anna, Amity, Andhra Pradesh, Aligarh Muslim, Pune, Bangalore and JNTU.
  • Arab Students-Students who hold a Bachelor’s Degree should have an average grade of 60% or above. Students who have an average grade of 70% or CGPA of 2.5 out of 4 for the Postgraduate Research programmes with a satisfactory research proposal.

IELTS Requirements

Listening Reading Writing Speaking Overall
5.5 5.5 5.5 5.5 6

Remarks:

 Indian Students IELTS Waiver:-65% in Standard XII English language from certain examination boards only (Central boards, Maharashtra, West Bengal, Karnataka, Tamil Nadu, Andhra Pradesh, Kerala and Uttarakhand)

Course Features
  • Country United Kingdom
  • City Coventry
  • State England
  • Course Duration 1 Year
  • Application fee 0 GBP
  • Tuition fees yearly 16,950 GBP
  • Cost of Living per year 10,000 GBP
  • Starting dates September
  • IELTS (Total) 6
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