Automation, Control and Robotics at Sheffield Hallam University - UCAS

Course options

There are other course options available which may have a different vacancy status or entry requirements – view the full list of options

Course summary

Please check the Sheffield Hallam University website for the latest information. Course Summary: Develop your knowledge and understanding of classical and modern control theory, industrial automation, systems analysis, design and simulation as well as robotics.

  • 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. How You Learn: All our courses are designed around a set of key principles based on engaging you with the world, collaborating with others, challenging you to think in new ways, and providing you with a supportive environment in which you can thrive. 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 typical 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. See the following modules list for further information: YEAR 1 (Compulsory Modules): Advanced Control Methods (15 Credits), Applicable Artificial Intelligence (15 Credits), Control Of Linear Systems (15 Credits), Industrial Automation (15 Credits), Project And Dissertation (60 Credits), and Robotics (15 Credits). YEAR 1 (Elective Modules): Digital Signal Processing (15 Credits), Machine Vision (15 Credits), Manufacturing Systems (15 Credits), Modern Electric Systems (15 Credits), Project And Quality Management (15 Credits), Sustainability, Energy And Environmental Management (15 Credits), and Systems On Chip (S.O.C.) Architectures And Prototyping (15 Credits).

Assessment method

Coursework Exam Practical

Professional bodies

Professionally accredited courses provide industry-wide recognition of the quality of your qualification.

  • Engineering and Technology, Institution of

Entry requirements

HOME & EU APPLICANTS: Normally one from • an honours degree (2.2 or above) in a science or engineering subject, • suitable professional qualifications in an engineering field, • a degree in any discipline containing aspects relevant to automation and control engineering, plus at least one year of appropriate industrial experience, • a diploma in a technological area, with at least three years of relevant experience. QUALIFICATIONS FROM INDIA • a first-class BE in a relevant discipline or a good second-class BE with a strong performance in mechanical and manufacturing subjects. QUALIFICATIONS FROM CHINA • a four-year bachelor's degree in a relevant discipline, with an overall average of at least 80 per cent or equivalent. QUALIFICATIONS FROM OTHER COUNTRIES • a good honours degree or equivalent in a relevant subject. ENGLISH LANGUAGE QUALIFICATIONS: overseas applicants from countries whose first language is not English must normally produce evidence of competence in English. An IELTS score of 6.0 with 5.5 in all skills (or equivalent) is the standard for non-native speakers of English. If your English language skill is currently below an IELTS score of 6.0 with a minimum of 5.5 in all skills we recommend you consider a Sheffield Hallam University Pre-sessional English course which will enable you to achieve an equivalent English level.


English language requirements


Fees and funding

Tuition fees

No fee information has been provided for this course

Additional fee information

Please refer to our website for up-to-date information on costs and fees for both full-time and part-time postgraduate study options: https://www.shu.ac.uk/study-here
Automation, Control and Robotics at Sheffield Hallam University - UCAS