COURSE CURRICULUM

The MBA in Data Analytics curriculum at Lawrence Technological University is a well-structured program that combines core business knowledge with advanced data analytics skills, totaling a comprehensive graduate-level experience. The program begins with 6 credits of foundation courses, covering essential topics such as financial accounting, economics, finance, and the legal environment of business. These courses ensure that all students, regardless of their background, develop a solid understanding of key business principles. Following this, students complete 18 credits of MBA core courses, including Managerial Accounting, Financial Management, Global Business Economics, Operations and Supply Chain Management, Strategic Marketing Management, and Global Strategic Management. These subjects build strong managerial, financial, and strategic decision-making skills necessary for leadership roles.In addition to the business core, the program includes 9 credits of required data analytics courses, such as Python for Data Analysis, Statistics for Data Analytics, and Financial Markets and Institutions, which introduce students to technical tools and analytical methods. Students then choose 9 credits of data analytics electives, allowing them to specialize in areas like machine learning, database systems, data mining, business intelligence, visual analytics, and digital marketing. This flexibility enables students to align their studies with specific career goals in analytics-driven roles. Overall, the curriculum offers a balanced mix of business strategy and technical expertise, equipping graduates with the ability to analyze complex data, make informed decisions, and lead organizations effectively in a data-driven world.