Course info

Businesses have a critical need to extract considerable information from the massive increase in available data. These insights are intended to increase business profitability, enhance productivity, improve operations, and enrich decisions-making. To accommodate this potential, businesses need employees trained in business practices, statistics, and programming. The University of New Haven's master’s in AI in Business and Analytics has been designed to provide graduates with a thorough understanding on how to use and deploy predictive analytics and visualization for maximum results. Our program, which was designed through a collaboration of top faculty in the departments of Economics and Business Analytics, Finance, Marketing, and Management, can be completed, on average, in 18 months (four semesters), You’ll develop a thorough understanding of data’s profit potential across all business areas and learn how to use and deploy predictive analytics, machine learning, and data visualization for maximum results. The Master of Science in AI in Business and Analytics program integrates deep knowledge of business domains with extensive knowledge of data management, machine learning, generative AI, and data-driven decision-making. The broad and intensive curriculum spans a range of business disciplines and equips students with the latest AI and analytics methods for transforming data into strategic intelligence for decision-makers. The program treats data and AI as core business assets and develops the skills to deploy them responsibly - turning raw information into actionable insights that drive operational efficiency, customer value, innovation, and competitive advantage. With a strong emphasis on hands-on application, students engage with generative AI tools, analytics platforms, and data governance frameworks across traditional business functions and emerging AI-enabled environments. Description of Concentrations: There are four concentrations in the MS Business Analytics Program: General; Global Supply Chain Analytics; Marketing Analytics; Hospitality and Service Analytics; Generative AI in Business.