Digital Signal and Image Processing

Starts: October

Duration: 1 year full-time, 2 years part-time

Course overview:

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. 

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.

Entry 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.

English Language Requirements - Our normal minimum requirement is a TOEFL score of 580 (paper test) or 237 (computer test), essay rating 4.5 or 92 (Internet test), all skills 19 or an IELTS 6.5 with 6.0 for writing, a TOEIC overall score of 830, or a Cambridge Certificate of Proficiency in English grade C or Cambridge Certificate in Advanced English grade C, although a number of our programmes require higher scores.

Funding:

A variety of sources, including competitive bursaries.           

Want to know more?

Contact our Enquiries Office for further details, E: enquiries@cranfield.ac.uk, T: +44 (0)1234 758008

Additional content

• Specialist Energy MSc opportunities