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MSc Artificial Intelligence and Human Factors

  • DeadlineStudy Details:

    MSc 1 year full-time

Course 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.

Entry Requirements

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.

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Fees

For fees and funding options, please visit website to find out more

Programme Funding

Funding opportunities including scholarships available

Student Destinations

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.

Module Details

Coventry University Campus

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