Business Intelligence and Analytics

Overview

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.

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. 

Curriculum

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. 

Core 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

Data Science and AI 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.

Financial services

  • 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

Industry/Services

  • 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

Internet

  • Winter Mason, Research Scientist Manager, Meta

  • Venkat Mukkamala, Director, Google

IT/Software services

  • 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

Life sciences

  • 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

Media/Communications

  • Andreas Damianou, Chief, UN Web TV, United Nations

  • Matthew Don, Chief Innovation Officer, Doremus

  • Ben K. Tatta, President, Standard Media Index

Telecommunications

  • Richard Stemper, Associate Director, IT, Verizon Wireless

Academic

  • 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

Admission requirements

Students working on computersThe high-tech Hanlon Financial Systems Lab allows professors to incorporate Hadoop, NoSQL and other technologies in lessons and collaborative projects.

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.

Application deadlines

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.

Application cycle

Application deadline

Application decision

Acceptance deadline

Priority

Oct. 15

Dec. 1

Jan. 15

Standard

Jan. 15

March 1

Included in admission offer

Final

April 15

May 1

June 1

Part-time applications to this program are accepted on a rolling basis.

Admission criteria

Admission to this program is highly selective. To be considered, your application must include the following.