COURSE CURRICULUM

The Master of Science in Computer Science at Rochester Institute of Technology follows a structured 30-credit curriculum designed to build strong theoretical knowledge and practical expertise in advanced computing fields. The program is typically completed over two years and begins with a rigorous first-year coursework foundation. In the fall semester, students study key subjects such as big data, artificial intelligence, and algorithms, along with an independent study component that encourages exploration of specialized topics or research interests. This combination helps students develop analytical thinking, problem-solving skills, and a solid understanding of core computer science principles.In the spring semester of the first year, the curriculum advances into more specialized and applied areas. Students take courses in data security and privacy, computer vision, and big data analytics, while continuing with independent study. These courses focus on real-world applications, enabling students to work with modern technologies, analyze large datasets, and understand emerging challenges such as cybersecurity and intelligent systems. The inclusion of independent study allows for deeper exploration of specific domains or preparation for research and project work.In the second year, students complete the program by choosing between a thesis or project option, each worth 6 credits. The thesis option is ideal for those interested in research or pursuing further academic studies, while the project option focuses on practical application and industry-oriented problem solving. Overall, the curriculum provides a balanced blend of theory, hands-on learning, and research opportunities, preparing graduates for careers in areas such as artificial intelligence, data science, cybersecurity, and software development, as well as for advanced academic pursuits.