Course summary
This one-year MSc programme is structured around topics in systems and signal processing, with specialisms in control and systems theory, image processing and machine learning. The skills you will develop are sought after by industry (biotech, financial services, systems engineering, medical imaging, etc.) and the academic research community. The modules have a high mathematical content and much of the material is computationally based, developing strong transferable skills in algorithmic development and programming.
Modules
Compulsory modules include: Advanced Systems and Signal Processing; Control System Design; Foundations of Machine Learning; Signal Processing; MSc Research Methods and and Project Preparation. Optional modules include: Advanced Machine Learning; Applied Control Systems; Bayesian, Active and Reinforcement Learning; Biologically Inspired Robotics; Biometrics; Computational Finance; Computer Vision; Deep Learning Technologies; Differentiable Programming and Deep Learning; Digital Control System Design; Image Processing.
Assessment method
Coursework, examinations, written project (design, development or experimental) and dissertation
Professional bodies
Professionally accredited courses provide industry-wide recognition of the quality of your qualification.
- Engineering and Technology, Institution of
How to apply
International applicants
English language: Band C, IELTS 6.5 overall, with a minimum of 6.0 in all components.
This course has a subject classification which requires students whose nationality is outside the European Economic Area (EEA) or Switzerland to have an ATAS certificate, irrespective of country of residence at the point of application.
Further information can be found on the UK Government's website: www.gov.uk/academic-technology-approval-scheme
Entry requirements
A UK bachelor’s degree with upper second-class honours or higher in electronic engineering. Specific module requirements also apply. Please see website.
Fees and funding
Tuition fees
No fee information has been provided for this course
Additional fee information
https://www.southampton.ac.uk/courses/fees/postgraduate.page
Sponsorship information
A variety of scholarships, grants and bursaries may be available to help you fund your master’s study, both from the University and from other organisations. Please check the website for more information.
Provider information
University of Southampton
Highfield
Southampton
SO17 1BJ