MSc Computer Science - Adaptive Cybersecurity
Course Overview
This innovative MSc in Computer Science (Adaptive Cybersecurity) is a 12-month, full-time programme designed to equip graduates with cutting-edge skills in AI-driven and data analytics-driven cybersecurity. It focuses on advanced dynamic techniques to proactively protect systems against sophisticated and emerging threats. The programme builds on the vast research expertise of the University of Galway's School of Computer Science to provide premier technical training.
Key Program Highlights
- Specialized focus on adaptive, AI-driven cybersecurity techniques
- 12-month intensive format for accelerated career advancement
- Curriculum informed by the research of renowned, interdisciplinary experts
- Designed for graduates with a strong existing background in Computer Science
- Unique offering matched by only a small number of universities globally
Course Overview
This innovative MSc in Computer Science (Adaptive Cybersecurity) is a 12-month, full-time programme designed to equip graduates with cutting-edge skills in AI-driven and data analytics-driven cybersecurity. It focuses on advanced dynamic techniques to proactively protect systems against sophisticated and emerging threats. The programme builds on the vast research expertise of the University of Galway's School of Computer Science to provide premier technical training.
Key Program Highlights
- Specialized focus on adaptive, AI-driven cybersecurity techniques
- 12-month intensive format for accelerated career advancement
- Curriculum informed by the research of renowned, interdisciplinary experts
- Designed for graduates with a strong existing background in Computer Science
- Unique offering matched by only a small number of universities globally
Requirements
Modules
- Introduction to Cybersecurity
- Societal impact of AI and Cybersecurity
- Network Security & Cryptography
- Principles of Machine Learning
- Programming and Tools for AI
- Adaptive Cybersecurity Project
- Case Studies in Cybersecurity Analytics
- Data Visualisation
- Deep Learning
- Secure DevOps
- Malware and Intrusion Detection
- Optimisation
- Introduction to Natural Language Processing
- Systems Modelling and Simulation
- Tools and Techniques for Large Scale Data Analytics
- Agents, Multi-Agent Systems and Reinforcement Learning
- Advanced Topics in Natural Language Processing
- Web and Network Science
- Knowledge Representation
