Online Master of Science in Computer Science (MS)

This advanced cybersecurity course examines strategies, tools, and techniques used in cybersecurity and network defense. Students learn to identify, analyze, and respond to cyber threats through applied training that includes intrusion detection, penetration testing, threat detection, and continuous monitoring. The course explores security controls, information security practices, and policies to mitigate attacks and manage risk across digital systems and enterprise environments. Emphasis is placed on both technical knowledge and practical skills, with hands-on experiences using real-world scenarios. Additional topics include cryptography, malware analysis, and the role of machine learning in advancing cyber defense. By integrating applied methods with broader information and security architecture, the course strengthens expertise for students and professionals pursuing careers in the program of computer science and related fields. (Prerequisite: CSCI510)

This advanced software engineering course provides a rigorous exploration of modern software engineering principles, practices, and emerging trends. Emphasis is placed on agile development, DevSecOps, and devops methodologies, highlighting their integration throughout the software development life cycle. Students study both theoretical foundations and applied techniques in software architecture, application development, system architecture, and requirements analysis, while also addressing software security, security testing, and related security best practices. Topics include continuous integration, continuous deployment, and CI CD pipelines, along with cloud computing, cloud services, and modern development environments. Through hands-on projects using industry-standard tools, students gain skills and knowledge essential to contemporary software development and information technology within the broader computer science discipline. (Prerequisite: CSCI505 or CSCI510)

This human computer interaction course explores methodologies, tools, and techniques for designing effective and intuitive interactive systems. The course covers human computer interaction principles, user centered design, user interface design, interaction design, and human centered design, emphasizing both theoretical concepts and practical application. Students study usability testing, visual design, design thinking, and UX research to better understand user needs and how people interact with computer technology. Through hands on projects and case studies, students gain skills and knowledge in user experience design, building a solid foundation in applying UX design principles to interactive systems. The course situates human factors and interaction within the broader computer science discipline while preparing learners to apply best practices to diverse design processes and professional career pathways. (Prerequisite: CSCI510)

This advanced cloud computing course provides a comprehensive study of cloud computing, addressing both foundational concepts and advanced topics in cloud technologies. The course examines cloud architecture, cloud infrastructure, cloud applications, and cloud solutions, as well as deployment models that support modern enterprise business processes. Students gain knowledge of serverless computing, distributed systems, virtual machines, and data management, while also exploring emerging cloud technologies. Emphasis is placed on cloud security, compliance, and best practices for deploying and managing cloud computing services. Through hands-on projects, students apply skills and techniques using modern software tools to explore the benefits and challenges of cloud service environments. The course situates cloud computing within the broader computer science discipline, reinforcing understanding of critical practices and applications for academic and professional contexts at the university level. (Prerequisite: CSCI530)

This advanced computer architecture course provides a rigorous study of computer architecture and the design, analysis, and functionality of modern computer systems. The course emphasizes both theoretical concepts and practical techniques, covering advanced computer architecture topics such as instruction set design, instruction level parallelism, parallel architectures, and processor design, including out of order processors, branch prediction, and speculative execution. Students examine memory systems, including cache structures, cache coherence, memory hierarchies, and virtual memory, as well as interconnection networks and system-level design approaches. Additional areas of focus include optimization, performance, and efficiency in hardware and software solutions, reinforcing connections to algorithms, engineering, and computer science. Through applied analysis of principles and operation, students gain advanced knowledge needed to explore and develop effective designs for contemporary and emerging computer systems. (Prerequisite: CSCI520)

This advanced operating systems course provides a comprehensive understanding of modern operating systems principles and operating system design strategies. It prepares students to address real-world challenges through modern techniques and the latest developments in the field. The course will cover various topics: process management, memory management, advanced file systems, distributed systems, optimization techniques, I/O systems, and security. A comprehensive survey of various operating systems, including Unix, Linux, MacOS, Android, real-time and embedded systems, and Windows, will provide a robust foundation for comparative analysis and performance optimization. In addition, the course material emphasizes key concepts in system-level communication, research, and applied problem solving, ensuring that students gain both theoretical knowledge and practical skills relevant to graduate-level program outcomes in computer science and artificial intelligence. (Prerequisite: CSCI550)