find your perfect postgrad program
Search our Database of 30,000 Courses
University of Sheffield: Artificial Intelligence for Engineering
| Institution | University of Sheffield |
|---|---|
| Department | School of Electrical and Electronic Engineering (ACSE) |
| Web | http://www.sheffield.ac.uk |
| Telephone | 0114 222 8030 |
| Study type | Taught |
Summary
Develop the skills to be at the forefront of the AI revolution in engineering technology. You'll learn the foundations of data science and machine intelligence, and how to apply them to control, automation and systems engineering.
Course description Artificial Intelligence (AI) is being integrated into many engineering disciplines, enabling self-training complex robotic systems, predictive maintenance of civil infrastructure and accelerated simulation tools. This MSc course will equip you with understanding of AI technologies and the skills to utilise them to solve engineering challenges across multiple disciplines.
You will develop an extensive understanding of machine learning, autonomous agents, real-time intelligent systems and data science and modelling techniques. You'll be working hands-on with state-of-the-art hardware, software and data, and you'll have the opportunity to build a system from scratch using the specialist labs in the University. Optional modules to further develop your skills in areas that interest you include natural language processing, machine vision, professional issues in AI and autonomous systems such as driverless cars and un-crewed aerial systems (UAVs).
In addition to taught modules, you will undertake an individual research project, working alongside world-class academics and using state-of-the-art facilities. The project provides an opportunity to apply your knowledge to a real engineering problem, often in collaboration with industry or research centres.
Graduates from this programme are well-equipped to lead in the development and use of AI tools and systems across disciplines from automotive, industrial and aerospace to robotics, green energy and biotech.
Accreditation Accredited by the Engineering Council UK, Institution of Engineering and Technology and the Institute of Measurement and Control.
Please see our University website for the most up-to-date course information.
MSc
| Level | RQF Level 7 |
|---|---|
| Entry requirements | Minimum 2:1 undergraduate honours degree in a relevant subject with relevant modules. Subject requirements We may also consider other related subjects. Module requirements You should have studied at least one Mathematics module and/ or one module from the following areas: Physics We may also consider other related modules. |
Fees
| England | 13000 GBP for Year 1 |
|---|---|
| Northern Ireland | 13000 GBP for Year 1 |
| Scotland | 13000 GBP for Year 1 |
| Wales | 13000 GBP for Year 1 |
| International | 27500 GBP for Year 1 |
Not what you are looking for?
Browse other courses in Manufacturing automation or Robotics, or search our comprehensive database of postgrad programs.Postgraduate Bursary Opportunity with Postgrad.com
Are you studying as a PG student at the moment or have you recently been accepted on a postgraduate program? Apply now for one of our £2000 PGS bursaries.
Click here