Signals and Sensor Systems MSc
Overview
The design of sensor systems as well as the processing and interpretation of associated signals/measurements are key requirements for both R&D and product development across a wide range of applications, e.g., industrial, manufacturing, biomedical, security, telecoms, etc.
Funding opportunities
You may be entitled to a School of Engineering and Mathematical Sciences Scholarship. We also offer a City Graduate Loyalty Scheme. Find out more about both of these funding opportunities.
Engineering Brochure with Fees and Funding
To download our course brochure with fees and funding information click here.
The MSc programme aims to develop a generation of MSc-qualified professionals by bringing together the unique blend of expertise in the areas of Signals, Imaging and Instrumentation at SEMS. The MSc programme will provide students with a core understanding of the Sensor Systems and generic Signal Processing requirements supported by a choice of more specialist modules relating to specific application areas and industries.
The programme addresses the major technological developments in these areas including: signals and information theory, sensor systems, pattern recognition, digital signal/image processing, soft field imaging, and metrology.
Entry Requirements:
The normal requirement is a second class Honours degree or equivalent in an acceptable scientific or engineering discipline or relevant industrial experience.
More...Course Fees:
- Full-time EU: £7,500 (2012/13 fees)
- Part-time EU: £3,750 (per year) (2012/13 fees)
- Full-time Non EU: £13,000 (2012/13 fees)
- Part-time Non EU: £6,500 (per year) (2012/13 fees)
Start Date:
24/09/2012
Entry Requirements
The normal requirement is a second class Honours degree or equivalent in an acceptable scientific or engineering discipline or relevant industrial experience.
English Requirements
For those students whose first language is not English, one of the following qualifications is also required:
- IELTS: 6.5
- TOEFL (internet based): 100.
Visa Requirements
The way that you apply may vary depending on the length of your course at City, there are different rules for:
- Students on courses of more than 6 months
- Students on courses of less than 6 months
- Students on a pre-sessional English Language course
For more information see our main Visa page.
When and Where
- Start Date:
- 24/09/2012
Course Content
The course draws on the knowledge and experience of leading experts and active researchers of the Sensors and Instrumentation and the Systems and Control Research Centres of City University London. The program is supported by research in Signal and Image Processing, Sensor Systems, Computer Vision and Intelligent Systems, Tomography, Optoelectronic Systems and Control Theory and Design. This research provides topics for the MSc dissertations and opportunities for further research leading to PhD.
Course Structure
Modules include:
Core modules:
- Signals and information theory
- Measurement and Control
- Pattern Recognition
- Sensor Systems
- Soft Field Imaging
- Digital Image Processing
- Metrology and Applications
- Digital Signal Processing
- Research skills and techniques.
The dissertation is developed in close collaboration with research groups within the Sensors and Instrumentation and Systems and Control Research Centres, as well as other groups in the School at the forefront of their technological field.
Teaching and Assessment
The programme consists of 9 compulsory taught modules, plus a dissertation. Four modules are taught in the first term and five modules are taught in the second term. Exams take place at the end of first and second term and the dissertation work is completed during the summer term. The course format allows Full Time and Part Time study. Much support is given to students, part time and full time, with their preparation for the modules and in their project work.
Full-time students complete the programme in 12 months and are expected to devote a significant part of their non-taught hours to laboratory work, project work as well as private study.
The course format makes the programme attractive to those who wish to study part time while retaining full-time jobs. The duration of a part-time programme is two years (this may be extended to three years in order to cater for individual circumstances).
Aims of the Programme
The overall aims of the programme are the advanced education of engineers and applied scientists intending to develop a rich knowledge of Signal Processing and Sensor Systems and the development of expertise in these areas.
Teaching and Learning Strategy
The teaching and learning strategy is based on lectures, supported wherever appropriate by coursework. Assessment for the taught elements of the programme is based on coursework and written examinations.
Learning Outcomes
Participants will gain knowledge of the fundamentals including pattern recognition and intelligent systems, control systems and measurement, digital image and signal processing, sensor systems and optoelectronics, and an exposure to challenging problems of emerging sensor systems engineering applications.
Summary of Content
- Signals and Information Theory
- Control and Measurement
- Pattern Recognition
- Sensor Systems
- Digital Signal Processing
- Digital Image Processing
- Soft Field Imaging
- Metrology and Applications.
Fees
- Full-time EU: £7,500 (2012/13 fees)
- Part-time EU: £3,750 (per year) (2012/13 fees)
- Full-time Non EU: £13,000 (2012/13 fees)
- Part-time Non EU: £6,500 (per year) (2012/13 fees)
Funding
For up-to-date information about tuition fees, living costs and financial support, visit Undergraduate Fees and Finance or Postgraduate Fees and Finance.
Funding opportunities
You may be entitled to a School of Engineering and Mathematical Sciences Scholarship. We also offer a City Graduate Loyalty Scheme. Find out more about both of these funding opportunities.
Career Prospects
Signal Processing and Sensor Systems are fundamental disciplines in all advanced technology areas, including manufacturing, aerospace and transport, telecommunications, security, energy, biomedical, and environmental engineering to name just a few. There are many career opportunities for graduates in these areas. In addition, there are opportunities for further study by research leading to the award of the degree of PhD following successful completion of the MSc programme.
Find out more about City University London
Apply for an MSc in Signals and Sensor Systems
We encourage online applications. However, if you do not upload supporting documents online, eg. references, transcript, we ask that you send them by post to The Postgraduate Courses Offices, School of Engineering and Mathematical Sciences, City University London, Northampton Square, London EC1V 0HB as soon as possible after submitting your online application.