COURSE CURRICULUM

Northwest Missouri State University offers a Bachelor of Science in Data Science with a computer science track, designed to equip students with the skills to analyze, interpret, and present large datasets for real-world problem solving. The program blends core computer science principles with statistics, business, and management to prepare students for careers in data analytics, business intelligence, and related fields. In the first year, students complete foundational courses including computing fundamentals, computer programming, oral communication, composition, and introductory data science, along with university seminar and general education courses. The second year introduces more advanced topics such as data structures, linear statistics, calculus, and database systems, while integrating coursework in social sciences, civics, and physical sciences.During the third year, students focus on applied data science skills, taking courses in linear statistics models II, database systems, principles of management, and physical sciences, alongside electives in humanities and civics. The fourth year emphasizes practical and advanced applications, with classes in visualization, linear algebra, management information systems, professional ethics, data mining with applications, and principles of marketing. Students also engage in courses on big data, systems analysis and design, web application development, web mining, and machine learning. The curriculum ensures students gain both theoretical knowledge and practical experience in analyzing complex datasets, implementing algorithms, designing systems, and visualizing data outcomes.By completing this comprehensive program, students are prepared for the growing demand in data science and analytics, where interdisciplinary knowledge of computer science, statistics, and business is essential. Students develop problem-solving, programming, and analytical skills that enable them to address challenges in corporate, scientific, and technological contexts. This curriculum is structured to provide a balanced foundation for immediate career readiness or further graduate study, offering exposure to the latest tools and methods in data science while emphasizing ethical decision-making, applied research, and real-world applications of computational analysis. Graduates leave with the expertise needed to interpret data responsibly, drive informed decision-making, and contribute effectively to data-driven projects across industries.