COURSE CURRICULUM

The Master of Science (M.S.) programs in Computer Science and Artificial Intelligence at Texas State University are designed to provide advanced technical training, research opportunities, and specialized academic pathways in rapidly evolving areas of computing and intelligent systems. The M.S. in Artificial Intelligence focuses on modern AI-driven technologies, including machine learning, generative AI, data analytics, and intelligent systems design, preparing students for high-impact roles in industry and research. The M.S. in Computer Science offers multiple flexible pathways to accommodate diverse academic and professional goals, including both thesis and non-thesis options, as well as specialized concentrations and minor options. Students may pursue a Data Science concentration in either the thesis or non-thesis track, or focus on Software Engineering through dedicated thesis or non-thesis options. Additional pathways include general thesis and non-thesis programs, with options to incorporate a science minor for interdisciplinary study. Across all tracks, students engage in advanced graduate coursework that strengthens their understanding of core computing principles such as algorithms, programming systems, data management, machine learning, software development, and systems design. The programs emphasize both theoretical foundations and applied skills, supported by faculty engaged in research across areas like artificial intelligence, data science, cybersecurity, and distributed systems. Students benefit from access to modern computing laboratories and research environments that support hands-on learning and experimentation. The inclusion of thesis options allows students to conduct original research and contribute new knowledge to the field, while non-thesis pathways provide a more coursework-oriented approach suited to professional advancement. Overall, these programs are structured to prepare graduates for careers in industry, research, and doctoral study, equipping them with the analytical, computational, and problem-solving skills required in today’s technology-driven world.