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Bachelor of Technology and M.S. in Business Intelligence & Analytics - Accelerated Master's Program

Program Details


Master of Science


School of Business Graduate Program


On campus


Office of Graduate Admissions1.888.511.1306[email protected]
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Stevens School of Business and SKVM's NMIMS Deemed-to-be University offer a highly-coordinated Business Intelligence & Analytics Accelerated Master's Program.

In the first year, you will enroll full-time at NMIMS (12 credits). Then, you will enroll full-time at the Stevens School of Business, taking courses within the Business Intelligence & Analytics program (24 credits). After completing the program (5 years), you will receive a Bachelor of Technology degree from NMIMS and an M.S. in Business Intelligence & Analytics from Stevens.

Stevens Institute of Technology logoStevens Institute of Technology

Stevens Institute of Technology is a premier, private research university in Hoboken, New Jersey, overlooking the Manhattan skyline. Since its founding in 1870, technological innovation and entrepreneurship have been the hallmarks of Stevens’ education and research. Within the university’s four schools, Stevens prepares its more than 8,000 undergraduate and graduate students for an increasingly complex and technology-centric world. Our exceptional students collaborate closely with world-class faculty in an interdisciplinary, student-centric, entrepreneurial environment, readying them to fuel the innovation economy. Academic and research programs spanning finance, computing, engineering and the arts expand the frontiers of science and leverage technology to confront the most challenging problems of our time. Stevens is consistently ranked among the nation’s leaders in ROI and career services and is in the top 1% nationally of colleges with the highest-paid graduates.

Program Highlights

Master Data-Driven Quantitative Skills: A curriculum emphasizing quantitative skills provides students with a robust understanding of statistical analysis and data modeling, essential for extracting insights from complex datasets. Mastery of these concepts equips graduates to analyze data effectively and adapt to evolving business analytics tools and technologies.

Industry Relationships Spur Career Growth: Close ties with industry professionals offer students opportunities to understand real-world challenges, best practices and build networks for career advancement. Collaboration with industry partners on projects and internships exposes students to practical applications of data analytics and enhances their understanding of how data drives business innovation.

Hands-On, Real-World Project Experience: Projects simulating actual industry scenarios prepare students for the demands of the workforce by honing critical thinking, problem-solving and collaboration skills. Students learn to effectively communicate their findings by collecting, analyzing and interpreting data.

Specialization Opportunities to Tailor Your Experience: Students can choose between data analytics, data science and AI, or big data tracks to ensure their education aligns with their career goals. Each specialization offers unique insights and skills highly valued in the job market, whether it's analyzing data for business decisions, leveraging advanced algorithms for predictive modeling or efficiently managing large volumes of data.

An Enhanced Student Experience: Our students have the chance to supplement their experience by participating in events that bridge the gap between academia and industry, technical boot camps in essential tools such as Python, R and Tableau, student clubs and digital webinars with data analysts and scientists from across sectors. Our students also build digital portfolios of real-world projects and utilize School of Business-specific placement services such as resume development, interviewing skills and networking events to help them secure employment at top companies.

GMAT/GRE test scores are optional for all master’s programs except MBA. Applicants who think that their test scores reflect their potential for success in graduate school may submit scores for consideration.

Big Data. Big Deal

Data science has become the ultimate driver of competitive advantage. But few leaders understand the potential of Business Intelligence and Analytics (BI&A), deep learning, and predictive analytics as engines of the enterprise.

The Business Intelligence and Analytics (BI&A) 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. 

Board of Advisors

The Businesses Intelligence & Analytics’ industry-ready curriculum is guided by an Advisory Board of distinguished leaders across multiple disciple areas that ensure students in the program receive the skills and opportunities needed to be successful after graduation.

SVKM's NMIMS Deemed-to-be UniversitySVKM's NMIMS logo

Since 1981, NMIMS has today emerged as a globally reputed university. Always socially conscious, the Shri Vile Parle Kelavani Mandal (SVKM) made the decision to cater to the rising demand of management institutes in India which led to the birth of the Narsee Monjee Institute of Management Studies (NMIMS). NMIMS currently has 17 specialized schools with more than 17,000 students and about 750 full-time faculty members, 10 faculty members with Fulbright and Humboldt International Scholarships.


  • Financial Accounting

  • Advanced Database Management

  • Data Warehousing and Mining

  • Data Mining and Analytics

M.S. in BI&A: Facts & Figures

Average Compensation
Average Signing Bonus
Employed 6 Months After Graduation
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