MSc Automation and Computer Vision

We normally require a first degree of 2:2 honours or above.

The course is designed to suit graduate engineers or scientists, mathematicians or statisticians. Graduates in other disciplines may be considered if they are able to demonstrate they have studied subjects containing a good level of numeracy.

We can consider applicants who do not meet the normal entry requirement, but who do have relevant professional experience or qualifications. In your application, you should describe in detail your professional experience and qualifications.

You will study 180 credits made up of various taught modules and a 60 credit final project.

Automation and Control (30 credits) covers hardware for automation, sensing technology, mechanics, control types, programming for interfacing and system design.

Machine Vision (30 credits) covers image formation and processing, camera systems, and data extraction for automated inspection and decision making.

Managing finance (15 credits) covers managing accounting and information to support decision making in a global context. You will work with others from wide-ranging disciplines outside engineering, to add to your learning experience.

Project management (15 credits) offers a theoretical and practical perspective on critical factors for successfully managing projects and provides an insight into the realities of project management in a variety of contemporary organisational settings. Again, this module is shared with non-engineers.

Industrial applications (15 credits) includes guest lectures from industry experts and a short project on investigating real examples of automation and vision in industry.

Industrial case studies (15 credits) looks at real engineering management in a less specialised environment, with students from various engineering MSc courses.

You will also work on an individual project (60 credits), which forms a major part of the course and gives you the chance to work on real-world research or industry projects.