COURSE CURRICULUM

The Master of Science in Information Systems with a Business Analytics (BA) concentration at Marist is designed for professionals seeking to develop advanced skills in data analysis, interpretation, and application. This program equips students to access, manipulate, and analyze data effectively, using modern analytical techniques and software tools to extract actionable insights and predict future trends. Through hands-on projects and real-world datasets, students gain practical experience in applying information technology to support data-driven decision-making, preparing them to address complex business challenges with confidence.Graduates of the Business Analytics track are prepared for a wide range of career opportunities, including roles as data analysts, database administrators, business analysts, data science specialists, and business analytics managers. The program also serves as a strong foundation for those aiming for executive positions, such as Chief Data Officer (CDO), by emphasizing strategic applications of analytics within organizational contexts. Students not only acquire technical proficiency but also develop critical thinking and problem-solving skills necessary to translate data into actionable business insights.Marist offers flexibility for students pursuing the MSIS Business Analytics track, with options to complete the degree either on-campus or online. This structure allows working professionals to continue their careers while advancing their education, tailoring their studies to align with personal and professional goals. The program emphasizes the integration of theoretical knowledge and applied experience, ensuring graduates are both technically skilled and strategically aware of business analytics applications. By combining rigorous coursework with practical, hands-on learning, Marist’s MSIS Business Analytics concentration prepares students to thrive in the evolving landscape of data-driven decision-making, making it an ideal choice for professionals seeking to leverage data for competitive advantage.