MScRobotics
| Study location | United Kingdom, Sheffield |
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| Type | Master courses, full-time |
| Nominal duration | 1 year |
| Study language | English |
| Awards | MSc |
| Entry qualification | Undergraduate diploma (or higher) Minimum 2:1 honours degree in a numerate subject such as engineering, mathematics or physical sciences. To thrive in this degree you’ll need to have excellent mathematical notation and basic computer programming skills. The entry qualification documents are accepted in the following languages: English. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. |
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| Language requirements | English IELTS: 6.5 with a minimum of 6.0 in each component |
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| Other requirements | At least 2 reference(s) must be provided. These should be supplied and signed by academic staff at institutions where you have studied previously. They must be presented on the official letter-headed paper of the relevant institution. If you have been out of education for the last two years, you can send one academic reference plus one from your current employer if you wish. A motivation letter must be added to your application. A supporting statement of about 300 words saying why you would like to take the course, the skills and experiences you will bring to it, why you wish to study at Sheffield and how you expect it to help your future career. CV |
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| More information |
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Overview
Interested? To learn more about this study programme, entry requirements and application process, please contact one of our consultants in a country nearest to you.
Programme structure
Core modules
Data Modelling and Machine Intelligence
Foundations of Robotics
Mechatronics for Robotics
Manipulator Robotics
Robotics and Autonomous Systems
Intelligent and Vision Systems
Multisensor and Decision Systems
Robotics Project and Dissertation
Optional modules
Choose from a range of optional modules. These might include:
Industrial training programme (ITP) in Computational Intelligence
Modelling and Simulation of Natural Systems