Artificial Intelligence and Human Factors MSc drafted
| Program start date | Application deadline |
| 2023-09-01 | - |
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.
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 succeedWhy you should study this course
shortage of skilled AI staff in the UK and beyond
. A 2020report 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
