About this course
Develop your signal processing skills on this Systems, Control and Signal Processing MSc at the University of Southampton. You'll specialise in systems theory, image processing and machine learning. Develop in-depth knowledge and practical skills in algorithmic development and programming, and graduate ready for a career in industry or research.
This UK MSc signal processing with systems control course is built around the latest research carried out by our electronics and computer science experts. Areas you’ll cover include:
- signal processing
- robotics
- systems and control theory
- image processing
- machine learning
The MSc control systems course with signal processing has a high mathematical content, and much of the material is computationally based.
As a postgraduate student, you will work with internationally respected academics at the forefront of their disciplines, tackling some of today’s biggest challenges.
Our excellent facilities, key partnerships with major industries and a world-leading research base will ensure that your time studying with us will be productive, challenging and enjoyable.
The degree is accredited by the Institution of Engineering and Technology (IET) on behalf of the Engineering Council as meeting the requirements for Further Learning for registration as a Chartered Engineer.
Candidates must hold a CEng accredited BEng/BSc (Hons) undergraduate first degree to comply with full CEng registration requirements.
We regularly review our courses to ensure and improve quality. This course may be revised as a result of this. Any revision will be balanced against the requirement that the student should receive the educational service expected. Find out why, when, and how we might make changes.
Our courses are regulated in England by the Office for Students (OfS).
Course lead
Your course leader is Dr Mohammed El-Hajjar, an associate professor in the Next Generation Wireless research group. He has won several academic awards and has published more than 80 journal and conference papers. Read Dr El-Hajjar's staff profile to find out more about his work.
Accreditations
Institution of Engineering and Technology (IET)
Learn more about these subject areas
Course location
This course is based at Highfield.
Awarding body
This qualification is awarded by the University of Southampton.
Download the Course Description Document
The Course Description Document details your course overview, your course structure and how your course is taught and assessed.
Entry requirements
You’ll need a 2:1 degree in electronic engineering.
You must also have a good 2:1 (65%) score in the following:
- advanced maths, such as advanced mathematics, applied mathematics, mathematical analysis, engineering mathematics, mathematics for electrical and electronic engineers or pure mathematics
- signal processing, such as digital signal processing, signals and systems or signals
- control theory
- probability theory
Find the equivalent international qualifications for your country.
English language requirements
If English isn't your first language, you'll need to complete an International English Language Testing System (IELTS) to demonstrate your competence in English. You'll need all of the following scores as a minimum:
IELTS score requirements
- overall score
- 6.5
- reading
- 6.0
- writing
- 6.0
- speaking
- 6.0
- listening
- 6.0
We accept other English language tests. Find out which English language tests we accept.
If you don’t meet the English language requirements, you can achieve the level you need by completing a pre-sessional English programme before you start your course.
Pre-masters
If you don’t meet the academic requirements, you can complete a pre-master's programme through our partnership with ONCAMPUS. Learn more about the programmes available.
Got a question?
Please contact us if you're not sure you have the right experience or qualifications to get onto this course.
Email: enquiries@southampton.ac.uk
Tel: +44(0)23 8059 5000
Course structure
This is a full-time master’s course. You'll study for 12 months, from September to the following September.
In the first 8 months (semesters 1 and 2) you’ll study the taught part of your course.
In semester 1, you’ll take 3 compulsory technical modules.
In semester 2, you’ll take 1 compulsory technical module, and 3 modules that we’ll ask you to choose from a list of options.
You’ll take 1 further module across semesters 1 and 2 to help you prepare for your research project and dissertation.
Exams will be held at the end of semesters 1 and 2.
For the last 4 months (semester 3) you’ll work independently to research and write your dissertation. You’ll have one-to-one meetings with your supervisor during this time to discuss your progress.
Want more detail? See all the modules in the course.
Modules
The modules outlined provide examples of what you can expect to learn on this degree course based on recent academic teaching. As a research-led University, we undertake a continuous review of our course to ensure quality enhancement and to manage our resources. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand. Find out why, when and how we might make changes.
For entry in academic year 2025 to 2026
Year 1 modules
You must study the following modules :
Advanced Systems and Signal Processing
This module aims to introduce to the students advanced model based signal processing methods and systems design theories, with illustrative case studies to demonstrate how the knowledge obtained in this module can be used in some challenging real life app...
Control System Design (MSc)
This module is taught together with ELEC3205 Control System Design. ELEC6243 has higher requirements on the desired learning outcomes, which will be assessed by a different set of coursework.
Foundations of Machine Learning (MSc)
Machine Learning is about extracting useful information from large and complex datasets. The subject is a rich mixture of concepts from function analysis, statistical modelling and computational techniques. The module will cover the fundamental principles...
MSc Project
Your research project will enable you to explore in depth some aspect of your specialist subject area. You will be allocated a project supervisor with whom you will meet and agree a project brief and plan. These must be submitted to, and agreed by, ...
Research Methods and Project Preparation
The Module will prepare students for the summer Research Project and research based coursework exercises. It will give students a grounding in the research methods and techniques necessary in order for planning and successful execution and completion of t...
Signal Processing
This module aims to introduce to the students signal processing techniques, including analogue and digital filter design and systems design theories. The module also introduces the concepts of statistical signal processing including estimation and detecti...
You must also choose from the following modules :
Advanced Machine Learning
- To introduce key concepts in pattern recognition and machine learning; including specific algorithms for classification, regression, clustering and probabilistic modeling. - To give a broad view of the general issues arising in the application of algor...
Applied Control Systems
This module will introduce the student to key topics within control and signal processing, developing understanding through a combination of theoretical content and practical application. The theoretical content is focussed in a number of key themes wi...
Bayesian, Active & Reinforcement Learning
Biologically Inspired Robotics
This module lies at the intersection of robotics and biology. Through the abstraction of design principles from biological systems, it is possible to develop a range of core competences, including mechatronic systems, sensor and actuator technologies. By ...
Biometrics
Biometrics is about how we can recognise people automatically, by personal characteristic. We all have fingerprints and faces - and they are unique. We have to sense the information, process it and then deliver an assessment of the identity associated wit...
Computational Finance
Financial markets form the source of a vast number of challenging computational problems. These are not only intellectually challenging from the point of view of computational modelling, but the financial sector is also an employer of a significant fracti...
Computer Vision (MSc)
The challenge of computer vision is to develop a computer based system with the capabilities of the human eye-brain system. It is therefore primarily concerned with the problem of capturing and making sense of digital images. The field draws heavily on ma...
Deep Learning Technologies
Deep learning has revolutionised numerous fields in recent years. We've witnessed improvements in everything from computer vision through speech analysis to natural language processing as a result of the advent of massively parallel compute coupled with l...
Differentiable Programming and Deep Learning
Deep learning and differentiable programming has revolutionised numerous fields in recent years. We've witnessed improvements in everything from computer vision through speech analysis to natural language processing as a result of the advent of cheap GPGP...
Digital Control System Design (MSc)
This module is taught together with ELEC3206 Digital Control System Design. ELEC6240 has higher requirements on the desired learning outcomes which will be assessed by a different set of coursework.
From Data to Dynamical Model: System Identification
The main problem in system identification is deriving mathematical models of dynamical systems (for transfer function, state-space) from data. Such problem arises for example in control, when the complexity of a model or lack of physical insight prevent t...
Image Processing
This module is useful to introduce: - Image processing and its relation to signal processing. - Image transformations for filtering, coding and etc. - Histogram processing algorithms to enhance image qualities and visibility. - Theories analysing and ...
Learning and assessment
Learning
The learning activities for this course include:
- lectures
- demonstrations
- seminars
- directed reading
- presentations
- technical reports
- design exercises
- group work
Assessment
We’ll assess you through:
- written exams
- technical reports
- presentations
- dissertation
- design exercise
- log books
Dissertation
You’ll complete an individual research project resulting in a 15,000-word dissertation, on a subject of your choice (to be agreed with your supervisor).
This is a chance for you to develop your research skills and show in-depth knowledge of your specialist subject.
You’ll have regular meetings with your supervisor to discuss your progress.
Academic Support
You’ll be assigned a personal academic tutor and have access to a senior tutor.
Careers
With this degree you’ll be in a great position to work in industry or continue your studies at PhD level.
Areas you’ll be qualified to go into include:
- biotech
- financial services
- systems engineering
- medical imaging
- signal processing jobs
Our Electronics and Computer Science department runs a dedicated careers hub with links to companies including:
- IBM
- Arm
- Microsoft Research
- Imagination Technologies
- Nvidia
- Samsung
Careers services at Southampton
We're a top 20 UK university for employability (QS Graduate Employability Rankings 2022). Our Careers, Employability and Student Enterprise team will support you throughout your time as a student and for up to 5 years after graduation. This support includes:
- work experience schemes
- CV/resume and interview skills workshops
- networking events
- careers fairs attended by top employers
- a wealth of volunteering opportunities
- study abroad and summer school opportunities
We have a thriving entrepreneurship culture. You'll be able to take advantage of:
- our dedicated start-up incubator, Futureworlds
- a wide variety of enterprise events run throughout the year
- our partnership in the world’s number 1 business incubator, SETsquared
Fees, costs and funding
Tuition fees
Fees for a year's study:
- UK students pay £9,250.
- EU and international students pay £33,900.
Deposit
If you're an international student on a full-time course, we'll ask you to pay £2,000 of your tuition fees in advance, as a deposit.
Your offer letter will tell you when this should be paid and provide full terms and conditions.
Find out about exemptions, refunds and how to pay your deposit on our tuition fees for overseas students page.
What your fees pay for
Your tuition fee covers the full cost of tuition and any exams. The fee you pay will remain the same each year from when you start studying this course. This includes if you suspend and return.
Find out how to pay your tuition fees.
Accommodation and living costs, such as travel and food, are not included in your tuition fees. There may also be extra costs for retake and professional exams.
Explore:
10% alumni discount
If you’re a graduate of the University of Southampton, you could be eligible for a 10% discount on your postgraduate tuition fees.
Postgraduate Master’s Loans (UK nationals only)
This can help with course fees and living costs while you study a postgraduate master's course. Find out if you're eligible.
Funding your postgraduate studies
A variety of additional funding options may be available to help you pay for your master’s study. Both from the University and other organisations.
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Find out about funding you could get as an international student.
How to apply
- Use the 'apply for this course' button on this page to take you to our online application form.
- Search for the course you want to apply for.
- Complete the application form and upload any supporting documents.
- Submit your application.
For further details, read our step by step guide to postgraduate taught applications.
Application deadlines
UK students
The deadline to apply for this course is Tuesday 9 September 2025, midday UK time.
We advise applying early as applications may close before the expected deadline if places are filled.
International students
The deadline to apply for this course is Tuesday 26 August 2025, midday UK time.
We advise applying early as applications may close before the expected deadline if places are filled.
Application assessment fee
We’ll ask you to pay a £50 application assessment fee if you’re applying for a postgraduate taught course.
This is an extra one-off charge which is separate to your tuition fees and is payable per application. It covers the work and time it takes us to assess your application. You’ll be prompted to pay when you submit your application which won’t progress until you've paid.
If you're a current or former University of Southampton student, or if you’re applying for certain scholarships, you will not need to pay the fee. PGCE applications through GOV.UK and Master of Research (MRes) degree applications are also exempt. Find out if you’re exempt on our terms and conditions page.
Supporting information
When you apply you’ll need to submit a personal statement explaining why you want to take the course.
You’ll need to include information about:
- your knowledge of the subject area
- why you want to study a postgraduate qualification in this course
- how you intend to use your qualification
References are not required for this programme.
Please include the required paperwork showing your first degree and your IELTS English language test score (if you are a non-native English speaker) with your application. Without these, your application may be delayed.
What happens after you apply
You'll be able to track your application through our online Applicant Record System.
We receive a high volume of applications for this course. This means you may not receive a response to your application for up to 12 weeks.
If we offer you a place, you will need to accept the offer within 30 working days. If you do not meet this deadline, we will offer your place to another applicant.
Unfortunately, due to number of applications we receive, we may not be able to give you specific feedback on your application if you are unsuccessful.
Equality and diversity
We treat and select everyone in line with our Equality and Diversity Statement.
Got a question?
Please contact us if you're not sure you have the right experience or qualifications to get onto this course.
Email: enquiries@southampton.ac.uk
Tel: +44(0)23 8059 5000
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