Systems and Signal Processing

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Focus on systems and signal processing in a programme that encompasses contemporary approaches to a broad range of topics.

This programme is structured around a core of topics in signal processing, with specialisms in control and systems theory, image processing and machine learning.

The programme is centred around the research base at Southampton and reflects leading research in ECS in the areas of:

* signal processing
* robotics
* systems and control theory
* image processing
* machine learning

The programme has a high mathematical content, and much of the material is strongly computationally based. You will develop strong transferable skills in algorithmic development and programming.

Key Facts
* Southampton is ranked in the top 51-100 universities for Computer Science in the 2012 QS World Rankings
* We are ranked in the top three universities in the UK for computer sciences and IT
* Southampton University has pioneered many of the most important advances in computer science and web technology of the past 10 years

Career opportunities
Academia

Industry (biotechnology, financial services, systems engineering, medical imaging)

The programme has been designed to maximise student choice by allowing you to tailor the structure to suit your own interests. You can choose areas that reflect your personal interests and work on an individual project. You will however, also take a number of compulsory modules to ensure you are exposed to key topics in all areas.

Modules

Semester 1
Core and Compulsory Modules

* COMP3032 Intelligent Algorithms
* ELEC3035 Control Systems Design
* ELEC6021 Research Methods
* ELEC6099 Signal Processing (MSc)
* ELEC6122 Image Processing - MSc

Semester 2
Core and Compulsory Modules

* ELEC6121 Project Preparation
* ELEC6124 Advncd Systems & Signal Proc

Optional Modules

* COMP3008 Machine Learning
* COMP6036 Advanced Machine Learning
* COMP6041 Computational Finance B
* COMP6058 Computational Finance A
* ELEC3026 Digital Control System Design
* ELEC6024 Advanced Computer Vision
* ELEC6120 Biometrics
* ELEC6123 Applied Identification and Control

Non-Standard
Core and Compulsory Modules

* ELEC6003 MSc Project

Honours Degree:Our normal entry requirement is a first-class or upper second-class degree (or equivalent) in a related discipline, such as Mathematics, Physics, Engineering and Computer Science.English Language Requirements:If English is not your first language, you will be required to pass an approved English test to ensure you can enjoy the full benefit of your studies. We normally ask for an International English Language Testing System (IELTS) score of 6.5 (with a writing score of 6), or a Test of English as a Foreign Language (TOEFL) score of 580.International Qualifications:We welcome applications from international students.Selection Process:All individuals are selected and treated on their relative merits and abilities in line with the University's Equal Opportunities Policy. Disabled applicants will be treated according to the same procedures as any other applicant with the added involvement of the Disability Office to assess their needs. The programme may require adaptation for students with disabilities (eg hearing impairment, visual impairment, mobility difficulties, dyslexia), particularly the practical laboratory sessions, and we will attempt to accommodate students wherever possible. English Language Requirements IELTS band: 6.5 TOEFL paper-based test score : 580 IMPORTANT NOTE: Since April 2014 the ETS tests (including TOEFL and TOEIC) are no longer accepted for Tier 4 visa applications to the United Kingdom. The university might still accept these tests to admit you to the university, but if you require a Tier 4 visa to enter the UK and begin your degree programme, these tests will not be sufficient to obtain your Visa. The IELTS test is most widely accepted by universities and is also accepted for Tier 4 visas to the UK- learn more.

Scholarships
Some students taking the course are sponsored by industry, while other students obtain financial support from local authorities, from professional institutions such as the Institution of Electrical and Electronic Engineers (IEEE) or from Career Development Loans. If you wish to obtain such sponsorship, you must make your own private arrangements.