COURSE CURRICULUM

The Master of Science in Computer Science program at Auburn University at Montgomery provides comprehensive graduate-level training in computer science, preparing students for advanced careers in industry, research, and further academic study. The program offers four concentrations: High Performance Computing, Data Analytics, Computer and Cyber-Systems Security, and General Computer Science, allowing students to specialize according to their career goals and interests. The curriculum begins with foundational courses in computing fundamentals, programming, data structures, algorithms, computer architecture, software engineering, and database systems, establishing the technical base required for advanced study. Students then progress to advanced and specialized coursework tailored to their chosen concentration. The High Performance Computing concentration emphasizes parallel and distributed computing, high-speed processing, optimization theory, and large-scale systems design, preparing graduates to manage complex computational workloads. The Data Analytics concentration focuses on machine learning, deep learning, artificial intelligence, data mining, applied natural language processing, and data-intensive computing, equipping students to extract insights from complex datasets and develop predictive models. The Computer and Cyber-Systems Security concentration includes courses in ethical hacking, penetration testing, cryptography, malware analysis, network security, secure system design, and information security management, preparing graduates to assess, implement, and manage robust cybersecurity strategies in response to evolving threats. The General Computer Science concentration allows students to combine electives across computing domains, such as AI, robotics, mobile and cloud computing, software engineering, and digital media, fostering versatile expertise in modern computing technologies. The program also incorporates experiential learning opportunities through internships, capstone projects, research theses, and supervised practicums, providing hands-on experience in solving real-world computing problems. Courses in emerging areas such as edge-AI, large language models, reinforcement learning, IoT and cloud security, computational biology, and video game development expose students to cutting-edge applications. Graduates of the program are well-prepared for careers as computer scientists, data scientists, AI engineers, cybersecurity specialists, or for further doctoral study. Overall, the MS in Computer Science balances theoretical instruction, practical skills, and applied research, equipping students to innovate, lead, and address the technological challenges of a rapidly evolving digital world.