Cloud Computing
You’ll develop advanced strategic thinking and research-driven problem-solving skills to critically analyze, innovate, and implement cutting-edge cloud computing technologies and architectures. This program prepares you to contribute original research, shape industry practices, and drive meaningful impact in the evolving landscape of cloud infrastructure, security, and distributed computing.
- 3 Years / Onsite
- Intakes: Jan, Apr, Jun, Oct
Overview
Cloud Computing at the PhD level delves into advanced research on how cloud technologies optimize computing resources, enhance data security, and drive digital transformation. At Lisburn University, our program explores the intersection of distributed computing, artificial intelligence, and cybersecurity to develop groundbreaking cloud architectures and scalable solutions.
In a research seminar, you might analyze a large-scale cloud infrastructure, deconstructing its use of edge computing, virtualization, and AI-driven automation. You and your peers critically evaluate its efficiency, security vulnerabilities, and long-term impact on enterprise operations. Then, through independent research, you contribute to the field by developing innovative frameworks and methodologies that address real-world challenges in cloud computing.
Career Opportunities
Graduates of our PhD program in Cloud Computing pursue advanced careers in academia, research, and industry leadership. They hold positions as university professors, cloud architects, cybersecurity analysts, enterprise solution consultants, and chief technology officers. Many contribute to cutting-edge research in distributed computing, AI-driven cloud automation, and data security, influencing policy and best practices across industries.
Program Learning Outcomes
Demonstrate advanced understanding of how cloud computing transforms IT infrastructure, enhances scalability, and impacts business operations in both local and global contexts.
Be able to apply sophisticated research methodologies, AI-driven automation, and big data tools to evaluate cloud security, resource optimization, and the effectiveness of distributed computing architectures in complex cloud ecosystems.
Demonstrate expertise in assessing the evolution, challenges, and opportunities in cloud computing, contributing original research to advance the field. Be prepared to leverage this knowledge to design secure, efficient, and innovative cloud solutions that drive technological advancements and sustainable industry growth.
Programme
Semester 1 | Credits | Number |
---|---|---|
Advanced Cloud Computing Architectures | 5 | CC 701 |
Distributed Systems and Virtualization | 5 | CC 702 |
Research Methodologies in Cloud Computing | 5 | CC 703 |
Semester 2 | Credits | Number |
---|---|---|
Cloud Security and Privacy | 5 | CC 704 |
Big Data and Cloud Analytics | 5 | CC 705 |
Edge and Fog Computing | 5 | CC 706 |
Semester 3 | Credits | Number |
---|---|---|
AI and Machine Learning in Cloud | 5 | CC 707 |
Cloud Optimization and Performance | 5 | CC 708 |
Blockchain and Cloud Integration | 5 | CC 709 |
Semester 4 | Credits | Number |
---|---|---|
Dissertation Proposal and Literature Review | 5 | CC 710 |
Doctoral Dissertation | 10 | CC 711 |
Total for the entire period of study | 60 |
Contact us
Unit 1 44-550 Longstone Street, Lisburn BT28 1TP Northern Ireland
How to Apply?
- You Apply
Tell us a little about yourself and we’ll help with the rest. Our convenient online application tool only takes 10 minutes to complete.
- We Connect
After you submit your application, an admissions representative will contact you and will help you to complete the process.
- You Get Ready
Once you’ve completed your application and connected with an admissions representative, you’re ready to create your schedule.