Master of Science (MSc) in Computer Science

Total Credits: ~30-36 credits

Core Courses

1. CSCI5101 - Advanced Algorithms

• - Credits: 3

• - Prerequisites: CSCI1202 (Programming II), CSCI2101 (Data Structures) or equivalent undergraduate coursework

• - Description: In-depth study of algorithm design, analysis, and optimization techniques, including approximation algorithms and complexity theory.

2. CSCI5201 - Distributed Systems

• - Credits: 3

• - Prerequisites: CSCI2301 (Operating Systems), CSCI2101 (Data Structures)

• - Description: Principles of distributed computing, synchronization, consensus algorithms, and cloud computing architectures.

3. CSCI5301 - Machine Learning

• - Credits: 3

• - Prerequisites: CSCI2201 (Algorithms), CSCI5201 (Distributed Systems), or instructor approval

• - Description: Foundations of machine learning algorithms, statistical modeling, neural networks, and applications in data analysis.

4. CSCI5401 - Advanced Databases

• - Credits: 3

• - Prerequisites: CSCI2401 (Database Systems) or equivalent undergraduate course

• - Description: Complex database design, NoSQL, data warehousing, and big data management.

5. CSCI5501 - Software Architecture

• - Credits: 3

• - Prerequisites: CSCI2501 (Software Engineering) or equivalent

• - Description: Design principles for large-scale software systems, architectural patterns, and system integration

6. CSCI5601 - Advanced Cybersecurity

• - Credits: 3

• - Prerequisites: CSCI2801 (Cybersecurity Fundamentals) or related coursework

• - Description: Deep dive into cryptography, network security, threat detection, and security protocols.

7. CSCI5701 - Research Methods in Computing

• - Credits: 3

• - Prerequisites: Graduate standing or instructor approval

• - Description: Scientific research methodologies, data analysis, research ethics, and technical writing.

8. CSCI5801 - Graduate Seminar

• - Credits: 2

• - Prerequisites: Graduate standing

• - Description: Presentations of current research, critical review, and discussion of emerging topics in computing.

9. CSCI5901 - Master's Thesis / Project

• - Credits: 6

• - Prerequisites: Successful completion of coursework and qualifying research proposal

• - Description: Independent research project culminating in a thesis or applied project, demonstrating mastery in a specialized area.

Prerequisites & Electives

Prerequisites Overview:

1. - Foundational undergraduate courses in programming, algorithms, data structures, operating systems, and databases.

2. - Research methods coursework or equivalent experience.

3. - Progression through core courses and approval for thesis research.

Elective Courses (Examples):

1. - Deep Learning & Neural Networks

2. - Natural Language Processing

3. - Cloud Computing & Virtualization

4. - Blockchain Technologies

5. - Advanced Topics in Cybersecurity

6. - Data Science & Big Data Analytics

7. - Human-Computer Interaction

8. - Software Testing & Verification

Electives allow specialization and deeper expertise aligned with research interests or industry needs.

Program Structure & Flow

1. - Core Courses: Cover fundamental advanced topics in algorithms, systems, and security.

2. - Electives: Selected based on research focus or professional development areas.

3. - Research & Thesis: Conduct original research or develop a significant software project, culminating in a thesis or comprehensive project report.