COURSE CURRICULUM

The Master of Science in Business Data Analytics (MSBDA) curriculum at Lawrence Technological University is a 30-credit-hour program designed to build strong analytical, technical, and business decision-making skills. The program consists entirely of core courses, ensuring that all students develop a comprehensive understanding of data analytics from multiple perspectives. It begins with foundational subjects such as Statistics for Data Analytics and Visualization and Management Information Systems, which help students understand how data is collected, managed, and interpreted within organizations. Courses like Python for Data Analysis and Visualization and Database Management Systems provide essential technical skills for handling large datasets and performing data-driven tasks efficiently.As the program progresses, students explore more advanced topics such as Introduction to Machine Learning, Business Analytics and Intelligence, and Data Science for Business, which focus on extracting insights, building predictive models, and supporting strategic decisions. Additional courses like Visual Analytics and Social Media Data Analytics teach students how to present data effectively and analyze modern digital data sources. The inclusion of Digital Marketing further connects analytics with real-world business applications, helping students understand how data influences customer behavior and marketing strategies. Overall, the curriculum offers a balanced mix of programming, statistical analysis, and business knowledge, preparing graduates for careers in data analytics, business intelligence, and decision-making roles across various industries.