Master of Science in Computer Science

• Advanced Algorithms: Approximation and randomized algos.
• Advanced Operating Systems: Distributed OS and kernels.
• Advanced Database Systems: Distributed databases and concurrency.
• Advanced Software Engineering: Enterprise architecture.
• Research Methods in Computer Science: Quantitative and qualitative methods.

Artificial Intelligence & Data Science

• Machine Learning & Deep Learning
• Natural Language Processing
• Computer Vision
• Big Data Analytics

Software Engineering

• Software Architecture
• Software Testing & Quality Assurance
• DevOps & Continuous Integration

Cybersecurity

• Advanced Cryptography
• Network Security
• Ethical Hacking & Digital Forensics

Systems & Networking

• Distributed Systems
• Cloud & Edge Computing
• High-Performance Computing

Theory & Computing Foundations

• Computational Complexity
• Advanced Programming Languages

• Graduate Seminar: Emerging topics in CS.
• Scientific Writing & Ethics: Publication standards.

• Master’s Thesis / Dissertation: Novel research contribution.
• Industrial or Research Internship: Optional practical track.