Master of Business Administration - Data and Applied Artificial Intelligence (STEM)

The AACSB accredited M.B.A. program at the University of New Haven is designed to transform current and future business leaders by providing in-depth expertise in the discipline of business administration and management, while concurrently exposing students to high impact learning practices and a global business perspective. Such perspectives are essential to operating in today's increasingly complex, collaborative, and multi-national business context. The program ensures that students build their functional knowledge base and hone leadership skills to become strategic, collaborative, and corporate thinkers, ready to navigate the business challenges professionals are faced with today. The M.B.A. program is designed to be flexible and serve the needs of a diverse student population. It is offered in part- and full-time formats with day and night courses, delivered in a mixture of traditional, hybrid, and online formats. It is designed for both seasoned professionals and those with little or no experience in business. The program is built on a series of foundational courses in the core business areas of accounting, finance, and economics. This foundation is followed by a set of advanced program core courses that are essential to managerial success in areas such as analytical decision-making, value creation, and leadership. Each of the program's nine concentrations are designed to provide students with competencies in areas of modern business challenges for career success. General; Business Analytics; Cyber Risk Management; Strategic Leadership; Data and Applied Artificial Intelligence (STEM); Financial Analysis (STEM); Global Supply Chain Management (STEM); Marketing and Digital Marketing (STEM); Healthcare Administration. Data and Applied Artificial Intelligence (STEM) Concentration (minimum 15 credits): STEM Designation: This program is STEM (science, technology, engineering, and math)-designated by the Department of Homeland Security. This concentration provides students with a technical awareness of the opportunities needed to enhance business operations. It provides the tools necessary to collect, identify, and understand patterns that allow the organization to make informed decisions consistent with its mission. This is especially true with the advent of Big Data and increasingly sophisticated computing techniques used to mine it. With a specific focus on the application of mathematical statistics to the description, analysis, and forecasting of business data, the program features the analysis of data from multiple firm sources such as marketing, finance, human resource management, etc. The R-programming language is a central part of the concentration's design. This concentration is STEM approved and will require no fewer than 40 credits to graduate.