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Students
Masters

Control, Automation and Artificial Intelligence MSc

Coventry University
Coventry , United Kingdom
Easy Apply
Students
Tuition Fee
USD 24,060
Per year
Start Date
Not Available
Medium of studying
On campus
Duration
24 months
Program Facts
About Program
About University
Admission Requirements
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Easy Apply
Program Facts
Program Details
Degree
Masters
Major
Robotics | Industrial Engineering
Discipline
Computer Science & IT | Engineering
Minor
Artificial Intelligence and Robotics | Automation Engineer Technology
Education type
On campus
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
USD 24,060
Intakes
Program start dateApplication deadline
2023-09-01-
About Program

Program Overview

Course overview

Is your undergraduate degree in engineering, mathematics or science? An accredited MSc in Control, Automation and Artificial Intelligence can help you to develop skills that would be beneficial in almost every engineering field from automotive, aircraft industry, power and energy, automation, process industry including oil and gas, food and drink, pharmaceutical industry and many others.

  • Control engineering is a means of managing and measuring performance of dynamic systems in areas from power plants and nuclear reactors to construction and manufacturing. The principles of control also extend in activities as diverse as managing risk in the financial sector to studying climate change within science.
  • This course is designed to provide a unique route for postgraduates to top up their background with more specialised knowledge and skills in the rich field of control systems, automation and AI relevant to various practical engineering industries as well as research in academia.
  • This course aims to provide a combination of theoretical and practical modules with sufficient depth, giving graduates sufficiently strong skills and background to take up professional posts in control, automation and AI within industry and/or research, and to develop themselves further depending on the requirements of the profession.
  • If you wish to embark on a career as a technical specialist in analytical aspects of control, automation or AI engineering or if you are a practising engineer looking to stay abreast of important advances and developments, you may want to consider this course.
  • Current academics delivering teaching on this course are actively involved in research and consultancy with industry, which ensures your taught materials are based on techniques and technologies currently relevant to industry. Parts of the teaching materials are also offered as CPD training for engineers from industry.

    (Please note staff may be subject to change).

  • You will have the option to apply for a ‘professional work placement’ opportunity

    2

    , designed to further develop your skills and knowledge with the aim of maximising your employability prospects. See modules for more information.

    • 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

    This professionally accredited course covers areas ranging from classical control system design to optimal, adaptive and intelligent control systems, such as proportional + Integral + Derivative (PID) control, Smith Predictor, Model Predictive Control (MPC), state variable feedback pole placement.

  • We aim to develop your skills required to design, analyse and simulate automatic control systems. Teaching is practical in nature with laboratory sessions in specialist software, including MATLAB/Simulink and LabVIEW. Following these simulation studies, you should be able to deploy control systems on specialist hardware.
  • We aim for dissertation project work across this course to be based on real-life situations to gain familiarity of methods and techniques from our industrial partners, or to support on-going research projects in automotive control systems, cooperative and autonomous vehicles, and preventive maintenance applied to medical devices.
  • The course aims to draw on the industrial experience of the teaching team who have rich experience and collaborations with industry in the UK and abroad, in practical control engineering research activities covering various applications for automotive, health rehabilitation, robotics, and power systems applications, to mention a few (please note staff may be subject to change). This opens wide opportunities for students in this course to get involved in industrial projects

    2

    and/or do a placement in industry

    2

    for their dissertation project, which also gives opportunities for students to network and work with future employers.
  • Where appropriate, research seminars, including staff, research students, and external guest speakers from industry are invited to provide a lecture/presentation to supplement and reinforce the practical relevance of the material. In addition, students are also encouraged to attend externally organised seminars, workshops, training, or internships to gain wider knowledge and experience, as well as build their professional network. Please note that these opportunities

    2

    are subject to availability, competitive application, visa considerations and additional fees may apply.

    • Accreditation and Professional Recognition

    This course is accredited

    1

    and recognised by the following bodies:

    Institution of Engineering and Technology (IET)

    This course is accredited by the Institution of Engineering and Technology (IET) up to and including the September 2024 intake, on behalf of the Engineering Council as meeting the requirements for Further Learning for registration as a Chartered Engineer. Candidates must hold a CEng accredited BEng/BSc (Hons) undergraduate first degree to comply with full CEng registration requirements.

    Institute of Measurement and Control (InstMC)

    This course is accredited by The Institute of Measurement and Control (InstMC) up to and including the September 2024 intake. The InstMC is the UK-based professional engineering institution and learned society dedicated to the science and application of measurement and control technology for the public benefit. It is incorporated by Royal Charter and a registered charity, number 269815.

    Chartered Management Institute (CMI)

    As part of this course, you will undertake a professional development module which is currently accredited by the

    Chartered Management Institute

    for the 2022-23 intake. Upon successful completion of this module, you will gain the

    CMI Level 7 Certificate in Strategic Management and Leadership Practice

    at no additional cost. Coventry University’s accreditation with CMI is currently ongoing for the relevant modules and is regularly reviewed and monitored by the CMI through their quality systems.

    Program Outline

  • Year one

    • Modules

  • Linear Control Systems Analysis and Design - 15 credits

    This module aims to equip you with fundamental knowledge and skills in control system analysis and design, providing the background to study other related or more advanced topics in Control Engineering.

    Compulsory

  • Programming and Simulation for Control - 15 credits

    This module prepares you to solve real-world engineering and problems using MATLAB, Simulink, Stateflow and LabVIEW. The module will be delivered using activities and problems inspired by research projects that have been and are currently being carried out at Coventry University.

    Compulsory

  • System Modelling and Identification - 15 credits

    The purpose of this module is to introduce you to the techniques and approaches required to construct mathematical models of dynamical systems, particularly data-based modelling. Modelling of a system takes about 70% of the effort in the whole process of control system design. The quality of a model significantly determines the quality of the controller designed based on the model.

    Compulsory

  • Automation and Robotics - 15 credits

    The aim of this module is to provide an understanding of the application of automation techniques and mechatronics in manufacturing. Topics covered in the lectures include the types of robots, robot programming, programmable logic controllers, sensors, vision systems, motion control, safety systems, and design for manufacture.

    Compulsory

  • Optimisation and Adaptive Control - 15 credits

    This module focuses on how applied optimisation techniques are used in control engineering and other engineering problems in general.

    Compulsory

  • Data Acquisition and Embedded Control - 15 credits

    The module will concentrate on providing you with experience of the industry standard software and hardware tools used in real time control, namely dSPACE together with Mathworks products, LabVIEW from National Instruments and DSP type micro-controllers together with Mathworks products.

    Compulsory

  • Postgraduate Control Dissertation Project - 50 credits

    This module aims to provide you with an opportunity to develop your ability to plan and control your own work at master’s degree level. The activities appropriate for the development of these skills may be described in broad terms, encompassing investigation, synthesis, analysis, communication, project planning and management. You will exploit the theoretical, computing, technical and management skills learned during the course to design, develop, implement and document a control solution to a research or industrial problem.

    Compulsory

  • Leading Strategic Change through Creativity and Innovation - 10 credits

    This module aims to provide you with a framework of knowledge and understanding of how to manage change using creativity and innovation in different types of organisational scenarios. You will be given the opportunity to develop an innovative framework to deliver a change management strategy in a changing organisational context.

    Compulsory

  • Control Engineering Pathway

    Non-Linear Control Engineering - 15 credits

    The module Nonlinear Control Engineering aims to introduce the concepts of nonlinear control systems, with attention being focused on typical nonlinearities found in various applications in practice. In particular, desirable and undesirable properties of nonlinear elements in a control system will be investigated.

    Advanced Control Systems Analysis and Design - 15 credits

    The purpose of this module is to introduce you to advanced control principles and application specific to the automation and control industry with emphasis being placed on the use of microcomputer/microcontroller to implement the control techniques. It is designed to both build on and consolidate your knowledge and skills on the linear control systems analysis and design and equip you with the skills to perform the controller design using software such as MATLAB/ Simulink.

    Optional

  • Automation Pathway

    Advanced Control Systems Analysis and Design - 15 credits

    The purpose of this module is to introduce you to advanced control principles and application specific to the automation and control industry with emphasis being placed on the use of microcomputer/microcontroller to implement the control techniques. It is designed to both build on and consolidate your knowledge and skills on the linear control systems analysis and design and equip you with the skills to perform the controller design using software such as MATLAB/ Simulink.

    Digital Signal and Image Processing - 15 credits

    This module will first revise/introduce the fundamentals of the analysis of digital signals and systems. This will then lead to the development of higher-level signal processing techniques and filters design before applying them to some problems to demonstrate their applications. Additionally, the concepts of digital image processing and image enhancement techniques will be introduced.

    Optional

  • Intelligent Systems Pathway

    Digital Signal and Image Processing - 15 credits

    This module will first revise/introduce the fundamentals of the analysis of digital signals and systems. This will then lead to the development of higher-level signal processing techniques and filters design before applying them to some problems to demonstrate their applications. Additionally, the concepts of digital image processing and image enhancement techniques will be introduced.

    Artificial Neural Network - 15 credits

    This module aims to introduce you to the concepts used in neural networks and their application in solving real-world problems. The main topics covered include biological motivations of neural networks, different approaches including the main supervised and unsupervised neural network architectures, static and temporal learning approaches, data collection and preparation methods for neural network learning, applications of neural networks, current trends and future developments.

    Optional

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