Signal processing techniques are utilised in a wide variety of electronic devices and software applications; from mobile phones and heart monitors to gaming systems and forensic analysis applications. This programme develops the practical skills required to analyse and manipulate biomedical, audio and image signals.
These skills provide opportunities to develop innovative solutions in Irelands Medical Devices, Digital Content and Systems Design industries.
The programme introduces the fundamentals of digital signal processing (DSP) theory through practical application to audio/image signals in addition to biomedical signals such as heart signals (ECG) and brainwaves (EEG). Further insight is gained by implementing signal processing algorithms on industry standard DSP hardware platforms.
Once the signal processing techniques are mastered they can be applied to a range of disciplines such as telecommunications, manufacturing, sustainable energy systems, biomedical engineering and digital media.
Specialised option modules are offered in both Biomedical Signal Processing and Advanced Audio/Image Processing which draw upon the Institute's extensive research expertise in these domains.
The programme consists of 12 taught modules and a project. Modules are delivered through a mixture of lecture, assignments and laboratory work, e-learning and problem based learning by academics and industrial experts.
Entry Requirements:A minimum of an honours bachelor degree at second class honours, lower division (2.2) in an accredited engineering degree or any qualification deemed by the DIT to be equivalent.
This programme will develop the knowledge and skillset required to work at a high level of research, design and development in the Digital Signal Processing (DSP), Digital Media and Biomedical Engineering. Intel (Healthcare Innovation), Valeo (Automotive Video Processing) and S3 Group (Telehealth System Deployment) are just three examples of multinational companies with innovation centres based in Ireland which rely on signal processing expertise to develop their products. Signal processing is an enabling technology which has led to creation of start-up companies within the Institute (RiffStation.com and moletestuk.com) in addition to the application of intellectual property developed within the Institute in well-known products such as in the Sony PlayStation 'Sing Star' game. The ME in Biomedical, Audio & Image Signal Processing develops both hardware and software signal processing skills with an emphasis on analysing and manipulating practical real-world signals such as brainwave (EEG), heart (ECG), speech, images and music. The programme is supported by the activities of the Institutes research groups’ active in these areas. Applicants should have an engineering, science or computer science undergraduate honours degree.
- Introduction to Digital Signal Processing
- Image Processing and Analysis
- Simulation and Programming for Engineers
- Speech and Audio Processing
- DSP Platforms
- Biomedical Signal Processing
- Research Methods
- Statistical Analysis
- Innovation and Knowledge Management
Two specialisation modules also form part of this programme. Students will be able to select 2 from the list below (availability of options will depend on numbers interested)
Specialised Option Modules
- Advanced Audio Processing
- Advanced Image Processing
- Advanced Biomedical Processing
- Advanced Spectral Estimation Techniques
The project module requires completion of a project and dissertation. Work based projects are encouraged.
DIT, Kevin Street, Dublin 8
Who Should Apply?
The ME in Biomedical, Audio & Image Signal Processing (DT700/701) is very suitable for engineering, science or computer science graduates from any discipline who are interested in moving into or further developing a career in this area.
Applicants should have an engineering, science or computer science undergraduate degree.
Timetable / Hours
Full-time take six modules per semester which involves a class contact time of approximately 18 hours per week. The modules are generally scheduled to run in the afternoon and evenings. Outside of the class contact time students work on module assignments and the project / dissertation.
Part-time students complete the 12 taught modules over the first two years by taking three modules per semester which involves a class contact time of approximately 9 hours per week. The modules are generally scheduled to run over three evenings per week. The project and dissertation are completed over the third year.
Graduates are eligible for the award of Master of Engineering in Biomedical, Audio & Image Signal Processing, of the Dublin Institute of Technology.
For Further Information
Dr David Dorran
School of Electrical Engineering Systems
College of Engineering & Built Environment
DIT, Kevin St., Dublin 8
T: 01 402 4873
T: 01 402 4550
Frequently Asked Questions
EU Fees *
*The fees outlined for each course are provisional and are subject to change
For full-time postgraduate fees please click here
For part-time postgraduate fees please click here
For information on funding please see the following link: Fees and Funding
Non EU Fees click here