Business Intelligence and Analytics
Data science has become the ultimate driver of competitive advantage. But few leaders understand the potential of Business Intelligence and Analytics (BIA), deep learning, and predictive analytics as engines of the enterprise.
The Business Intelligence and Analytics (BIA) master's program provides a blend of analytical and professional skills to help you become the kind of manager who challenges assumptions and uses data to make evidence-based decisions. At Stevens, you'll master new tools that will help you refine products, services, and strategies while setting the pace for your company in markets undergoing constant, technology-driven change.
The Business Intelligence and Analytics curriculum covers the concepts at the forefront of the data revolution — machine learning, language processing, web mining, optimization, and risk. Classes explore key business concepts while going beyond basics in R, SAS, Hadoop, Python and Spark. The program culminates in a capstone experience in which you'll work on a project, using real data, under the guidance of an industry mentor.
Business Intelligence and Analytics Capstone experience
No graduate business education is complete without an opportunity to apply what you've learned on a project of consequence. At Stevens, that takes many forms — a consulting assignment with an industry partner, a research project that addresses an industry need, even the chance to nurture your own entrepreneurial venture — and is customized for you, your education and your career aspirations.
The master's program trains students to understand both the business implications of Big Data and the technology that makes that data useful. In doing so, it leans heavily on the high-tech infrastructure at Stevens, which gives students direct exposure to the kind of challenges they will engage in the workplace. Students will cultivate the skills to collect, analyze and interpret data in strategic data planning and management; databases and data warehousing; data mining and machine learning; network analysis and social media; and risk, modeling and optimization, and will learn to apply those skills to business problems in order to form actionable strategy.
Business Intelligence and Analytics Curriculum
The master's in Business Intelligence & Analytics can be completed entirely online. Courses indicated with (O) are available online.
Concentrations & Electives
With the approval of their advisor, students may take any three Stevens graduate classes to satisfy the requirements of this program. Alternatively, they may select three courses in any of the following three concentrations.
Data Analytics Concentration
Big Data Concentration
Data Science and AI Concentration
Board of Advisors
The Business Intelligence & Analytics program is shaped by an active board of advisors that ensures the coursework is aligned with the demands of the professional world. Members regularly meet to review the curriculum, provide input on program structure, suggest student consulting projects, and report on trends in data's growing role in the workplace and the specific hiring needs of companies as it relates to this area.
Venu Guntupalli, Senior Director, Analytics and Data Platforms, Jackson Hewitt
Wayne Huang, Head of Data Science, Pacific Life
Ramin Safai, Managing Director, Chief Information Security Officer and CTO, Jefferies
Tom Kielty, Director, President & CEO, Connectivity
Sandeep Sacheti, EVP Customer Information Management & Operational Excellence, Wolters Kluwer Corporate Legal Services
Anthony Scriffignano, Senior Vice President and Chief Data Scientist, Dun & Bradstreet
Tracy Spadola, Vice President of Strategic Operations, ISO Verisk
Winter Mason, Research Scientist Manager, Meta
Venkat Mukkamala, Director, Google
Brad Molzen, Account Technical Leader Manager, IBM
Anne Robinson, Chief Strategy Officer, Kinaxis
Pat Saporito, Founder and CEO, Saporito & Associates
Catherine Truxillo, Director of Analytical Education, SAS
Demissie Alemayehu, Vice President and Head of Statistical and Data Science Center, Pfizer
Sanjiv Koshal, Head of Data Strategy and Engineering, Johnson & Johnson
Marcia Levenstein, Senior Advisor, Vivli
Curt Smith, Executive Vice President, Ipsos MMA
Andreas Damianou, Chief, UN Web TV, United Nations
Matthew Don, Chief Innovation Officer, Doremus
Ben K. Tatta, President, Standard Media Index
Richard Stemper, Associate Director, IT, Verizon Wireless
Dr. Christopher Asakiewicz, Distinguished Industry Professor, Stevens Institute of Technology
Dr. David Belanger, Senior Research Fellow, Stevens Institute of Technology; former Chief Scientist, AT&T Labs
Dr. Siddhartha Dalal, Professor of Professional Practice, Columbia University
Dr. Ted Stohr, Professor of Information Systems, Stevens Institute of Technology
Academic programs in data science have become commonplace, but few of them present the latest tools and analytical techniques from the practical perspective demanded in the business world. The Stevens master's in Business Intelligence & Analytics will show you how to apply analytics while teaching you to think critically about conclusions, ensuring your recommendations to corporate stakeholders hit the mark.
For full-time students, applications to the Business Intelligence & Analytics program are accepted in three distinct cycles. To be considered for admission, all materials must be submitted by the deadline.
Included in admission offer
Part-time applications to this program are accepted on a rolling basis.
Admission to this program is highly selective. To be considered, your application must include the following.