Systems, Control and Signal Processing (MSc)
Southampton, United Kingdom
DURATION
1 Years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
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EARLIEST START DATE
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TUITION FEES
GBP 32,300 **
STUDY FORMAT
On-Campus
* for UK | other countries, China: 29 July 2024
** for EU and international student | UK students: GBP 9,250
Scholarships
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Introduction
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.
Admissions
Curriculum
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.
Modules
The modules outlined provide examples of what you can expect to learn in 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.
You must study the following modules :
- Advanced Systems and Signal Processing
- Control System Design (MSc)
- Foundations of Machine Learning (MSc)
- MSc Project
- Research Methods and Project Preparation
- Signal Processing
You must also choose from the following modules :
- Advanced Machine Learning
- Applied Control Systems
- Bayesian, Active & Reinforcement Learning
- Biologically Inspired Robotics
- Biometrics
- Computational Finance
- Computer Vision (MSc)
- Deep Learning Technologies
- Differentiable Programming and Deep Learning
- Digital Control System Design (MSc)
- From Data to Dynamical Model: System Identification
- Image Processing
Program Tuition Fee
Career Opportunities
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
Program delivery
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