MSc Control, Automation and Artificial Intelligence
| Program start date | Application deadline |
| 2024-09-01 | - |
Program Overview
The Control, Automation, and Artificial Intelligence MSc from Coventry University combines theoretical and practical training in these fields. It offers three specialized pathways: Control Engineering, Automation, and Intelligent Systems. Graduates gain expertise in diverse engineering areas, preparing them for careers in industries such as automotive, aerospace, and process control. The program emphasizes professional development and includes a dissertation project based on real-life scenarios.
Program Outline
Degree Overview
Control, Automation, and Artificial Intelligence MSc
Program Overview
This Coventry University postgraduate degree offers a unique combination of theoretical and practical training in control systems, automation, and AI. It focuses on diverse engineering fields, enabling graduates to specialize in areas of growing global relevance.
Program Objectives
- Enhance skills and knowledge in control, automation and AI, relevant to various practical engineering industries and research.
- Provide a deep understanding of advanced concepts in these fields through theoretical and practical modules.
- Enable professional development by equipping graduates to take up specialist positions in their chosen fields, or continue research studies.
Program Description
This MSc caters to graduates from engineering, science, or mathematics backgrounds. It features three specialist pathways:
- Control Engineering Pathway: Focuses on analytical aspects of control engineering design, ideal for careers in automotive, aerospace, and other engineering domains.
- Automation Pathway: Provides expertise in automation technologies and practices within process control industries.
- Intelligent Systems Pathway: Emphasizes decision-making systems and applications, particularly for those with software, computing, or robotics interests. All pathways share similar modules in the first semester, allowing flexibility to explore interests before specializing. The final semester features a dissertation project based on real-life scenarios in chosen fields.
Benefits
- Combines theory and practical application for strong professional development.
- Provides opportunities for careers in diverse engineering fields.
- Features specialized pathways for tailored learning experience.
- Includes dissertation project based on real-world challenges.
Outline
Control, Automation, and Artificial Intelligence MSc
Program Content
This program covers three key areas: control systems, automation, and artificial intelligence. These are delivered through three specialized pathways that allow in-depth study:
- Control Engineering Pathway: Explores advanced control principles through simulation and design tools such as MATLAB/Simulink and LabVIEW, focusing on model-based control techniques.
- Automation Pathway: Covers process control systems in manufacturing, focusing on design, operation, and safety using various software and hardware tools including PLCs, robots, and sensors.
- Intelligent Systems Pathway: Delves into artificial neural networks and their applications, providing skills in data analysis and design of algorithms for autonomous systems and machine learning applications.
Structure
This program comprises 180 credits over one year full-time or two to three years part-time, depending on chosen study mode.
Course Schedule
The course schedule involves lectures, seminars, tutorials, practical laboratory sessions, and individual research work for the dissertation project. The modules cover diverse topics across the pathways:
SEMESTER 1 (common modules for all pathways)
- Linear Control Systems Analysis and Design
- Programming and Simulation for Control
- System Modelling and Identification
- Automation and Robotics
- Optimisation and Adaptive Control
- Data Acquisition and Embedded Control
- Leading Strategic Change through Creativity and Innovation
SEMESTER 2 (specialized pathway modules)
- Control Engineering Pathway: Non-Linear Control Engineering, Advanced Control Systems Analysis and Design
- Automation Pathway: Advanced Control Systems Analysis and Design, Digital Signal and Image Processing
- Intelligent Systems Pathway: Digital Signal and Image Processing, Artificial Neural Network
SEMESTER 3 (all pathways)
- Postgraduate Dissertation Project
Assessment
Control, Automation, and Artificial Intelligence MSc
Assessment Methods
This program utilizes various techniques to assess knowledge and skills acquired by students, promoting comprehensive evaluation.
- Reports: Used to demonstrate understanding of concepts and present analysis on specific topics or project findings.
- Tests and Exams: Evaluate theoretical knowledge through various question formats, covering theoretical aspects and problem-solving capabilities.
- Practical Coursework: Students demonstrate practical implementation skills, analyzing data and designing solutions through software tools in their chosen area.
- Presentations: Develop communication and presentation abilities in group or individual formats, communicating complex ideas effectively.
Assessment Criteria
Assessment criteria vary depending on the module and chosen assessment method. Generally, evaluation considers:
- Technical Knowledge and Application: Demonstrating proficiency in control, automation, or AI techniques, using appropriate tools and algorithms.
- Critical Thinking and Analysis: Analyzing problems, formulating solutions, and drawing informed conclusions based on theoretical and practical understanding.
- Communication Skills: Effectively communicate technical findings, project outcomes, and complex ideas in written and oral formats.
- Independent Learning and Research: Demonstrate the ability to research, gather information, and critically evaluate findings for project work and independent study.
Teaching
Control, Automation, and Artificial Intelligence MSc
Teaching Methods
This program employs diverse teaching approaches for various learning styles:
- Lectures: Experts in the field deliver information on core concepts, providing fundamental knowledge in each subject.
- Seminars and Tutorials: Promote interactive sessions for deeper understanding, facilitated by academics who guide student discussions and problem-solving activities.
- Presentations: Encourage active participation and communication, allowing students to explore specific topics and present their findings to peers.
- Group Projects: Facilitate teamwork and collaborative problem-solving, enhancing practical skills for real-world situations.
- Workshops: Hands-on practice with various software tools and technologies used in control, automation, and AI, enhancing practical expertise.
- Practical Laboratory Sessions: Reinforce theoretical concepts through experimentation and data analysis in specialized laboratories.
Faculty
Academics delivering this program are heavily involved in cutting-edge research and industry consultancy, ensuring course materials align with current needs and advancements. They have diverse areas of expertise across the three pathways, offering a rich learning experience.
Unique Approaches
This program features:
- Access to industry-standard software and hardware tools used in real-world settings, such as dSPACE, MATLAB/Simulink, and LabVIEW.
- Dissertation project opportunities based on collaborations with industrial partners or university research initiatives, offering real-world problem-solving experience.
- Potential for international visits or research collaborations, depending on staff availability and project opportunities.
Tuition Fees and Payment Information:
- UK, Ireland , Channel Islands or Isle of Man: £11,200 | £4,000 (Work placement option additional fee) per year
- £20,050 | £4,000 (Work placement option additional fee) per year without EU support bursary
- International: £20,050 | £4,000 (Work placement option additional fee) per year
