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Digital Signal and Image Processing (Option of Computational and Software Techniques in Engineering) – (M.Sc.)
Cranfield University
School of Engineering| Annual Tuition Fee: | ≈ € 6,675 - ≈ € 17,950 (non-EEA) | ||
| Location: | Cranfield / United Kingdom / View location on map ▾ Hide location on map ▴ | ||
| Duration: | 12 months | Start Date: | October |
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| Education Variants: |
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| Languages: | English | ||
Location of Cranfield University
Digital Signal and Image Processing is at the forefront of information technology. It forms the basis for a growing variety of applications including medical diagnosis, remote sensing, geophysical prospecting, space exploration, molecular biology, microscopy and machine vision, and is particularly important in the manufacturing and defence industries.
Cranfield University’s MSc option in Digital Signal and Image Processing is designed to equip you with the skills required to develop a successful career working in the rapidly expanding engineering IT industry sector, in the UK and overseas.
Excellent career opportunities
Graduates in this option choose from a wide range of careers embracing telecommunications, the automotive industry, medical imaging and, again, software houses and industrial research where demand for skills is high.
Focus on your interests
Following a series of core modules providing grounding in computational and software techniques, you can select optional modules and a research project to tailor the course to your specific interests and career aspirations.
Meet the needs of employers
This course is directed by an industrial advisory panel who ensure that it provides generic hands-on skills and up-to-date knowledge adaptable to the wide variety of applications that this field addresses. And with 95% of Cranfield graduates securing relevant employment within six months of graduation, you can sure that your qualification will be valued and respected by employers.
Benefit from our expertise
Cranfield University is a leader in applied mathematics and computing applications. Our staff are practitioners as well as tutors, with clients that include Jaguar Cars and Texas Instruments. Knowledge gained working with our clients is continually fed back into the teaching programme, to ensure that you benefit from the very latest knowledge and techniques.
Access unique facilities
As a Cranfield student you will have access to our range of outstanding research facilities for research work. These include the Cambridge-Cranfield High Performance Computing Facility and Centre of Grid Computing facilities.
Study full or part-time
This course is also available on a part-time basis, enabling you to combine studying alongside full-time employment. This is enhanced by a three-stage programme from a Postgraduate Certificate to Postgraduate Diploma through to an MSc .
Contents
Structure
The Digital Signal and Image Processing option of the Computational and Software Techniques in Engineering MSc course consists of three parts: core modules, specialist modules and individual research thesis.
Core modules
Students begin by following a set of five core modules:
* C Programming
* Management for Technology
* Computational Methods
* Computer Graphics/GUIs
* Object Oriented Programming in C++.
Specialist modules
The mathematical and computational methods form the basis of the specialist modules, covering the theory and application of DSIP algorithms for the analysis, interpretation and processing of data in diverse fields such as computer vision, medical diagnosis, remote sensing and telecommunications.
The specialist modules are designed to provide students with the programming techniques necessary to write core DSIP software. This is done by encouraging students to answer problem sheets whose solutions are compounded in the design, coding and testing of various DSIP algorithms.
Lectures on various aspects of computing and mathematics support all module options. We introduce relevant material from numerical analysis to provide the computational basis for some of the techniques used.
Mathematical and visualisation packages are available for this purpose, including Mathematica, Maple and MATLAB.
Module options:
* Signal Analysis
* Digital Signal Processing
* Digital Signal Processing Applications
* Digital Image Processing
* Digital Image Processing Applications
* Applications of DSIP
* Component Software Technology.
Research project
With the experience and knowledge gained within the lectures, students are equipped for the MSc research thesis undertaken in the second half of the academic year.
Recent thesis topics have included:
* The Short-Time and Higher Order Chirp Fourier Transforms
* Image Processing for Enhancement and Segmentation of Optical Coherence Tomography
* Traffic Analysis System
* Pattern Recognition for Vibration Analysis using Fourier Components
* Optimisation of an Edge Detection Algorithm for Echocardiographic Images.
Assessment
The course is assessed through coursework assignments, examination, and individual research project.
Part-time study
This course is also available on a part-time basis for individuals who wish to study whilst remaining in full-time employment. A three-stage programme from a Postgraduate Certificate to Postgraduate Diploma through to a Master of Science enables you to take a flexible approach to your study commitments.
Cranfield is very well located for visiting part-time students from across the UK and Europe and offers a range of library and support facilities to support your studies.
IELTS
You are normally required to take an English Proficiency Test.
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Requirements
Typically a 1st or 2nd class UK honours degree (or equivalent) in engineering, science, mathematics, computer science, information technology, communication, networks, or a related discipline. Other qualifications (eg HND or alternative) may be acceptable, provided there is evidence of sufficient relevant work experience.
Additional Requirements
| Minimal degree required: | Bachelor's degree |
| Minimal amount of work experience | Not specified |
Language Proficiency
| IELTS Band: | 6.5 |
| Cambridge English: Advanced (CAE): | Grade C (Score: 60) |
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