MSc Automation Control and Robotics Sheffield Hallam University

• Gain the ability to apply principles of modelling, classical and modern control concepts and controller design packages.
• Learn how to design and exploit automation and robotic systems in a range of manufacturing and industrial applications.
• Work alongside research staff from the Power, Electrical and Control Engineering, and Electronic Engineering Subject Groups and the Centre for Automation and Robotics Research (CARR) at Sheffield Hallam.

The MSc Automation, Control and Robotics course is designed to provide you with an opportunity to develop and enhance your advanced technical and problem solving skills in control engineering, industrial automation and robotics.

The course covers a wide range of important topics in automation, control and robotics: control systems, advanced control methods, industrial robotics, mobile robots, industrial automation, and artificial intelligence. You also have the opportunity to explore elective modules on topics of your interests and career desires.

You learn through:

• lectures
• tutorials
• seminars
• laboratory sessions
• problem-based and practical activity-based sessions
• group and individual project work
• acting as mentors for new students

There are opportunities to study abroad at one of our partner universities with the possibility of funding through the Erasmus+ programme (until 2023) or the Turing Scheme.

This course is delivered face-to-face over three semesters - teaching is scheduled based on the length of your course and the academic calendar.

Applied learning

Work placements

Students are strongly encouraged to apply for summer placements and internships and are supported by the University’s Careers and Employability team on application writing, CVs and interviews.

Work-based learning

An MSc project and dissertation can provide an opportunity for industrially-commissioned or industrially-based work at a high level. It is also worth noting that MSc projects carried out by part time students are typically of significant importance to their companies and can raise a student's profile in the organisation.

Within the constraints of the maximum length of the course, it is also possible to extend the project for a full time student to work in an industrial or commercial setting (3 months is sometimes short for training and specialist skills acquisition to a Master's level concurrent with acclimatisation to the industrial setting).

If a full-time student finds employment with a company at the start of the project stage, they can transition to part-time status, thus allowing 1 year for project completion.

Modules

Module and assessment information for future years is displayed as currently validated and may be liable to change. When selecting electives, your choices will be subject to the core requirements of the course. As a result, selections may be limited to a choice between one of two or more specified electives in some instances.

Modules studied may differ depending on when you start your course.

Compulsory modules may include:

• Advanced Control Methods
• Applicable Artificial Intelligence
• Control of Linear Systems
• Industrial Automation
• Project and Dissertation
• Robotics

Examples of modules you may be able to choose from:

• Digital Signal Processing
• Machine Vision
• Manufacturing Systems
• Modern Electric Systems
• Project and Quality Management
• Sustainability, Energy and Environmental Management
• Systems On Chip (Soc) Architectures and Prototyping

This course prepares you for a career in

• automation and control
• process and petrochemical
• manufacturing
• energy
• automotive
• aerospace

You can also pursue careers in engineering design and development, engineering research, engineering consultancy and engineering management.