M.S. in Business Analytics and Artificial Intelligence

Program Overview

The M.S. in Business Analytics and Artificial Intelligence is a 30-credit program, typically completed within 1.5 to 2 years for full-time students. The curriculum is structured to provide a comprehensive understanding of both the business implications of big data and the underlying technologies that make that data useful. It comprises a rigorous set of core courses and offers specialized concentrations, including "Applied Analytics & AI" and "Data Science & AI," allowing students to tailor their studies to specific career goals. The program culminates in a practicum course where students apply learned concepts to real-world business problems alongside industry mentors. Stevens also offers a dual M.S.-MBA degree for those seeking a blend of deep technical AI knowledge and strong management skills. The program is available both on-campus and fully online through StevensOnline, offering significant flexibility. Stevens boasts impressive career outcomes for its Business Intelligence and Analytics graduates (which includes this program), with 98% employed within six months of graduation and a strong average salary of $102,875 for the Class of 2023.

STEM-designated: Yes, the Stevens Institute of Technology M.S. in Business Analytics and Artificial Intelligence program is unequivocally STEM-designated. This is a crucial advantage, particularly for international students. The STEM designation makes them eligible for a 24-month extension of their Optional Practical Training (OPT) in the United States, allowing for a total of up to three years of valuable post-graduation work experience. This designation clearly reflects the program's rigorous quantitative, analytical, and technological focus, which is highly valued by employers in the data-driven business, finance, healthcare, and technology sectors.

Curriculum: The 30-credit curriculum provides a robust blend of business strategy, advanced analytics, and artificial intelligence. Core curriculum components ensure students develop strong technical skills in manipulating, analyzing, and mining data, with training in industry-standard software packages like SQL, R, SAS, Python, and Hadoop through intensive boot camps. Key course topics often include: Foundations of Business Analytics, Data Management, Business Intelligence & Data Integration, Optimization and Process Analytics, Multivariate Data Analytics, and Data Analytics and Machine Learning. Further specialized courses explore areas like Augmented Intelligence and Generative AI, Risk Management and Simulation, Supply Chain Analytics, and Marketing Analytics. The curriculum is continuously updated to incorporate the latest advancements in AI and data science, and it emphasizes ethical AI principles across each course, addressing issues like bias, transparency, and privacy.

Research Focus: The M.S. in Business Analytics and Artificial Intelligence program, housed within the School of Business, has a strong applied research focus. It is closely integrated with the Stevens Institute for Artificial Intelligence (SIAI), an interdisciplinary center involving over 100 faculty members from across the university dedicated to solving complex global problems through AI and machine learning. Research efforts relevant to this program concentrate on applying AI and machine learning to real-world business challenges in areas such as financial engineering, marketing analytics, supply chain optimization, risk management, and the ethical implications of AI deployment. Students benefit from exposure to faculty who are actively engaged in advancing both the theoretical foundations and practical applications of AI in business. While primarily a professional master's degree, the program fosters an inquiry-driven approach to leveraging data and AI for strategic business impact.

Industry Engagement: Stevens Institute of Technology places a very high priority on industry engagement for its Business Analytics and Artificial Intelligence program. Its strategic location, just minutes from downtown Manhattan, provides unparalleled access to a vast network of leading technology companies, financial institutions (including Wall Street firms), consulting firms, healthcare providers, and major corporations actively seeking data-driven leaders. The curriculum is developed in collaboration with industry experts, ensuring it is continuously updated to meet current and future demands of the market, including the integration of generative AI. Faculty members often have extensive industry experience, bringing invaluable real-world case studies and practical insights into the classroom. Stevens' strong alumni network and robust Career Center facilitate extensive networking opportunities, internships, and co-op experiences, connecting students with leading employers like Amazon, BlackRock, Capital One, JPMorgan Chase & Co., and Wolters Kluwer.

Global Perspective: Stevens Institute of Technology fosters a strong global perspective within its M.S. in Business Analytics and Artificial Intelligence program. This is cultivated through its diverse international student body, which enriches classroom discussions with varied insights into global business practices, international data regulations, and cross-cultural applications of AI technologies in a global marketplace. The inherent nature of business analytics and AI, with its capacity to analyze global markets, optimize international supply chains, and inform cross-border financial decisions, ensures that graduates are prepared for an interconnected professional landscape. The program emphasizes skills that are universally recognized and highly transferable, equipping graduates to contribute to international business initiatives and navigate the complexities of global data ecosystems.