Program Overview

Program Details

Degree

Master of Science or Dual-Degree MBA

School

School of Business

Department

School of Business Graduate Program

Available

On campus

Program Description

Stevens School of Business and SKVM's NMIMS Deemed-to-be University offer a highly-coordinated dual degree program in Master of Business Intelligence & Analytics (BIA) and Master of Business Administration (MBA) providing a broad spectrum of skills ranging from deep and practical knowledge of quantitative skills to a comprehensive understanding of management principles with a global perspective. At the end of the program, you will get a Master of Business Administration degree from NMIMS and a Master of Business Intelligence & Analytics degree from the Stevens School of Business.

In the first year, you will enroll full-time at NMIMS, taking courses within the MBA program (12 credits). Then, you will enroll full-time at the Stevens School of Business, taking courses within the Business Intelligence & Analytics program (24 credits). You will receive a diploma from Stevens and a diploma from NMIMS after completion (approximately 24 months).

Program Benefits

• Global Vision: Get global management perspectives with exposure to international business practices.
• Specialized Expertise: Become highly valuable in today's data-driven business environment where understanding both the business side and the analytical side is crucial.
• Strategic Decision-Making: Gain the knowledge to make informed, data-driven decisions which is highly valued as businesses increasingly rely on data for strategic planning and decision-making.

Careers

• Business Analyst
• Business Intelligence Manager
• Financial Analyst
• Marketing Analyst
• Risk Analyst
• Management Consultant

Core Courses

• MIS 636 Data Integration for Business Intelligence & Analytics - 3 Credits This course focuses on the design and management of data warehouse (DW) and business intelligence (BI) systems.
• MIS 637 Data Analytics and Machine Learning - 3 Credits This course will focus on Data Mining & Knowledge Discovery Algorithms and their applications in solving real-world business and operation problems.
• BIA 650 Optimization and Process Analytics - 3 Credits This course covers basic concepts in optimization and heuristic search with an emphasis on process improvement and optimization.
• BIA 652 Multivariate Data Analysis - 3 Credits This course introduces basic methods underlying multivariate analysis through computer applications using R.
• BIA 654 Experimental Design - 3 Credits This course covers fundamental topics in experimentation, including hypothesis development, operational definitions, reliability and validity, measurement, and variables.
• BIA 658 Social Network Analytics & Visualization - 3 Credits Given a data matrix of cases-by-variables, a common analytical strategy involves ignoring the cases to focus on relations among the variables.
• BIA 660 Web Mining - 3 Credits In this course, students will learn through hands-on experience how to extract data from the web and analyze web-scale data using distributed computing.
• BIA 686 Practicum in Analytics - 3 Credits Business intelligence and analytics is key to enabling successful competition in today's world of "big data".

Elective Courses

• BIA 656 Advanced Data Analytics and Machine Learning - 3 Credits The significant amount of corporate information available requires a systematic and analytical approach to select the most important information and anticipate major events.
• BIA 662 Augmented Intelligence and Generative AI - 3 Credits This course explores the area of augmented intelligence and its implications for today’s world of big data analytics and evidence-based decision making.
• BIA 670 Risk Management and Simulation - 3 Credits Theoretical and practical aspects of risk assessment and management will be covered.
• BIA 672 Marketing Analytics - 3 Credits In this course, students will learn about marketing analytics techniques such as segmentation, positioning, and forecasting.
• BIA 674 Supply Chain Analytics - 3 Credits Supply chain analytics is one of the fastest growing business intelligence application areas.
• BIA 676 Data Stream Analytics - 3 Credits In recent years, the progress in sensor technologies, RFID (Radio Frequency Identification) tags, smart phones and other smart devices has made it possible to measure, record, and report large streams of transactional data in real time.
• BIA 678 Big Data Technologies - 3 Credits The field of Big Data is emerging as one of the transformative business processes of recent times.

Transferable Courses from NMIMS to Stevens

• Financial Accounting | FIN 615: Financial Decision Making
• Business Analytics | BIA 610: Applied Analytics
• Operations Management | BIA 600: Data, Models, and Decisions
• Quantitative Methods I | BIA 652: Multivariate Data Analytics
• Analytic Tools and Techniques for Decision Making | BIA 654: Experimental Design
• Machine Learning Theory and Application | MIS 637: Analytics and Machine Learning
• Marketing Analytics | BIA 672: Marketing Analytics
• Operations and Supply Chain Analytics | BIA 674: Supply Chain Analytics

SVKM's NMIMS Deemed-to-be University

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 MBA Courses

• Financial Accounting
• Business Analytics
• Operations Management
• Quantitative Methods I
• Analytic Tools and Techniques for Decision Making
• Machine Learning Theory and Application
• Marketing Analytics
• Operations and Supply Chain Analytics

M.S. in Business Information & Analytics: Facts & Figures

• Average Salary: $102,875
• Average Signing Bonus: $26,000
• Employed 6 Months After Graduation: 98%
• Ranked #8 Best Online Masters in Data Science Degrees 2025 by University HQ

Stevens 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 three 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.