Edge Computing - Postgraduate Diploma Programme content
Gain the skills you need for a career in edge computing with a blend of innovative content, real-world relevance and a hands-on approach to learning.
Key information
EU fees per year
€5,200
Non-EU fees per year
€13,500
NFQ Level
NFQ Level 9 Major
Duration
One year
Attendance
Full-time
Programme type
Taught
Delivery
In-person
Start date
September
Award
Postgraduate Diploma
Key information
- Complete full-time in one year
- Delivered on campus
- Modules taught during autumn and spring semester
You will learn through a blend of
- Lectures, workshops, and experiential learning
- Reflective practice and supervised research
- Regular feedback from faculty and peers through group work and assessments
Programme content
Core modules
- Introduction to Data Engineering and Machine Learning (CE4051) provides an insight and grounding into data engineering and machine learning and prepares students for more advanced Artificial Intelligence modules.
- Advanced Programming (EE6161) covers advanced features of software programme design and analysis, group programming and large project implementation.
- Signal Processing for Communications (EE6005) provides practical coverage for the principles of digital signal processing and techniques of modern digital communication systems.
- Converged Networks (EE6003) imparts the knowledge, understanding and skills needed to install, configure and maintain local or wide area networks for IT and operational technology requirements.
- Applied Cloud Computing (ET4307) provides experience in the practice of Cloud Computing including aspects of cloud architecting and design, developing in the cloud and/or operations in the cloud.
Books and journal articles needed for the course will be available online through the UL Glucksman Library.
For more information on each module, you can search the faculty, school and module code on UL’s Book of Modules
Core modules
- Deep learning at the Edge (EE6008) provides an insight into deep learning and associated frameworks relevant to edge computing and enables students to implement their own deep learning systems.
- Future Networks (EE6532) focuses on Software Defined Networking (SDN) and Network Function Virtualization (NFV) which are key emerging technologies reshaping the networking landscape and research.
- Real-Time Embedded Systems (EE6004) studies real-time (software) system design concepts and the presentation of methodologies at application level and system level.
- Communications & Security Protocol (EE6032) covers security services and cryptographic protocols used for information and system security, in areas such as wireless networks, e-commerce and the Internet.
- MEng Project *1: Planning and Research Methods (EE6010) describes the latest trends and developments in research practice and methods to help undertake a significant design project
*Students are encouraged to engage in research projects
Books and journal articles needed for the course will be available online through the UL Glucksman Library.
For more information on each module, you can search the faculty, school and module code on UL’s Book of Modules
