Control, Robotics and Intelligent Automation MSc

Program Overview

Control, Robotics and Intelligent Automation MSc

Course Overview

This course aims to equip students with the knowledge and hands-on experience to develop, implement, and manage cutting-edge automation systems. It covers the principles behind control systems, robotics, and intelligent automation, and provides students with the skills to tackle real-world engineering challenges.

What You'll Study

• Control System Design: Achieve a comprehensive foundation in control systems, combining theoretical concepts with practical skills using industry-standard tools.
• Robotics and Autonomous Systems: Explore the essentials of kinematic analysis, trajectory planning, and control for robot manipulators and autonomous robots.
• Digital Control Implementation: Introduce fundamental digital control principles for industrial applications, with an emphasis on embedded systems.
• Data-driven Modelling: Explore modern methods for constructing mathematical models of dynamical systems, with a focus on data-driven and machine learning approaches.

How You'll Learn

• Lectures
• Seminars
• Tutorials
• Presentations
• Group projects
• Workshops
• Practical laboratory sessions

Teaching Contact Hours

As a full-time postgraduate student, you will study modules totalling 180 credits each academic year. A typical 30-credit module requires a total of 300 hours of study.

Assessment

This course will be assessed using a variety of methods, including:

• Reports
• Tests
• Essays
• Exams
• Practical coursework
• Assignments
• Vivias
• Presentations

Entry Requirements

• UK: An honours degree 2:2 or above (or international equivalent) in a relevant discipline.
• International: An honours degree 2:2 or above (or international equivalent) in a relevant discipline.
• English language requirements: IELTS 6.5 overall with no component lower than 5.5.

Fees and Funding

• UK: £11,200 per year
• EU: £11,200 per year with EU Support Bursary
• International: £18,600 per year

Facilities

• Institute for Advanced Manufacturing and Engineering (AME)
• ABB Dual-arm YuMi collaborative robot
• ABB industrial robot manipulators
• GO1 quadruped robot
• Petoi Bittle robot dog kits
• Quanser (Servo, Aero, Heat Flow and Active Suspension lab kits)
• Bytronic Control System Trainers
• Arduino kits
• Industrial PLC Control work-cell

Careers and Opportunities

Successful completion of this course should provide you with skills applicable for industries including automotive, aerospace, process and chemical industries, manufacturing, robotics and automation, finance and banking. There may also be opportunities in research and development across a wide variety of these industrial and commercial sectors.

Research Areas

• Control engineering
• Robotics and autonomous systems
• Intelligent automation
• Data-driven modelling
• Machine learning

Why You Should Study This Course

• Industry-relevant curriculum designed in collaboration with industry
• Hands-on learning through laboratory work and industry projects
• Research and technology: learn from subject experts who are still actively involved in research and industry consultancy
• Network building: take advantage of opportunities to attend seminars and workshops, make valuable industry connections and develop yourself professionally
• Professional experience: gain practical experience and boost your CV with an additional professional placement.