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Students
Tuition Fee
USD 22,320
Per year
Start Date
Medium of studying
On campus
Duration
12 months
Program Facts
Program Details
Degree
Masters
Major
Costume Design
Area of study
Information and Communication Technologies
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
USD 22,320
Intakes
Program start dateApplication deadline
2023-09-01-
About Program

Program Overview






Course overview

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 ready

    An international outlook, with global opportunities








    Teaching excellence

    Taught by lecturers who are experts in their field








    Employability

    Career 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.
  • Program Outline

  • Year one

  • 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.

    Modules

  • 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.

    Compulsory

  • 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.

    Compulsory

  • 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.

    Compulsory

  • 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.

    Compulsory

  • 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.

    Compulsory

  • 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.

    Compulsory

  • 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.

    Compulsory

  • 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.

    Compulsory

  • 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.

    Compulsory

  • 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.

    Compulsory

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