COURSE CURRICULUM

The Master of Science (MS) in Computing at Wichita State University is a flexible 30-credit-hour graduate program designed for students seeking advanced careers in software development, artificial intelligence, cybersecurity, networking, data science, cloud computing, and information technology. The curriculum combines foundational computing knowledge with specialized technical training and practical industry-focused experience. Students complete three of four common core courses in database systems, artificial intelligence, computer networks, and software engineering, providing a strong foundation across key computing disciplines. The program then allows students to customize their studies through 15 credit hours of concentration electives and 6 credit hours of technical electives selected from advanced courses in cybersecurity, web programming, wireless networking, machine learning, data science, network security, software engineering, computer vision, deep learning, robotics, and other emerging areas of computing. Students who have already completed certain core courses during previous undergraduate or graduate studies may substitute approved electives, creating additional flexibility. A major strength of the program is its emphasis on applied learning and research. Every student must complete a practical research or applied learning experience before graduation, typically through advanced project-based courses that include research, technical writing, presentations, and real-world problem solving. Approved applied learning courses cover topics such as machine learning, artificial intelligence for cybersecurity, robotics, image analysis, human-computer interaction, intelligent robotics, cyberphysical system security, database implementation, high-performance computing, 5G communications, and data analytics. This hands-on approach ensures graduates gain both technical expertise and professional experience that employers value. The program is particularly attractive for working professionals because it allows students to align coursework with career goals while developing specialized skills in rapidly growing technology fields. Graduates are well prepared for positions such as software engineer, data scientist, machine learning engineer, artificial intelligence specialist, cybersecurity analyst, cloud architect, network engineer, systems administrator, database specialist, and IT consultant. The degree also provides an excellent foundation for doctoral studies and research careers. Through its combination of advanced coursework, flexible specialization options, research opportunities, and industry-relevant applied learning experiences, the MS in Computing equips students with the knowledge, technical skills, and practical experience needed to succeed in today's highly competitive global technology workforce.