Students
Tuition Fee
Not Available
Start Date
Not Available
Medium of studying
Not Available
Duration
Not Available
Details
Program Details
Degree
Masters
Major
Data Analytics
Area of study
Business and Administration | Information and Communication Technologies
Course Language
English
About Program

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 & Online


Program Benefits:

  • Leadership: Use the potential of Business Intelligence and Analytics (BIA), deep learning, and predictive analytics as engines of enterprise to drive growth.
  • Specialized Skillset: Learn the concepts at the forefront of the data revolution — machine learning, language processing, web mining, optimization, and risk. Apply these skills to collect, analyze, and interpret data to form problem-solving, actionable strategies.
  • Holistic Approach: Approach problems and decision-making from both a strategic business perspective and a data-driven analytical perspective leading to more comprehensive and effective solutions.

Careers:

  • Analyst & Trader
  • Business System Analyst
  • Data Scientist
  • Business Intelligence Architect
  • Management Consultant
  • Data Engineer

About The Stevens MBA Program

Program Highlights

  • A STEM-Designated MBA: Applicable concentrations of the MBA program hold the STEM designations, setting it apart from ordinary MBA offerings by infusing technology at the forefront of the curriculum. This designation also allows students from outside of the U.S. to be eligible for a 24-month extension of their Optional Practical Training (OPT).
  • Traditional Business Through the Technology Lens: At Stevens, conventional business disciplines are taught from a technological perspective, ensuring graduates are well-versed in leveraging leading-edge tools and methodologies to drive innovation across all aspects of a business.
  • AI and Machine Learning are Here to Stay: Students gain an essential understanding and practical application of AI and machine learning, equipping them to take the lead in navigating the fourth industrial revolution and propel industries forward.
  • Real-World Consulting Experience: The hallmark of the full-time MBA, the Industry Capstone Program, immerses students in consulting engagements with real-world companies. Students and their peers, under faculty mentors, take what they’ve learned in their courses to develop solutions to real business problems and present their recommendations to senior executives. This experience provides students with something they can speak about to hiring managers and recruiters. Open to students across graduate programs, the Industry Capstone Project encourages interdisciplinary collaboration, nurturing diverse perspectives and skill development.
  • Invaluable Networking Opportunities: Capstone projects involve partnering with companies, providing students with networking opportunities and allowing them to foster connections that can lead to career advancement.

An MBA for Today's Digital Era

In today's data-driven world, the traditional business skills taught in traditional MBA programs are no longer enough. Few MBA programs fully address how the data revolution has transformed how managers recognize opportunities and identify trends. The Stevens MBA stands out by integrating technology, data analytics and advanced business practices into its core curriculum.


Taught by expert faculty, this innovative MBA program combines foundational business disciplines such as marketing, strategy and finance with cutting-edge skills in technology and business analytics. You will engage in applied exercises and real-world projects that train you to make fast, data-informed decisions. With a curriculum emphasizing collaboration through group projects, presentations and hands-on experience, you will foster both creativity and critical thinking skills.


This unique approach ensures you are prepared to lead in a rapidly evolving business landscape.


About The MS In Business Intelligence and Analytics Program

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.


Core Courses

  • FIN 515 Financial Decision Making - 3 Credits
  • MIS 631 Data Management - 2 Credits
  • MIS 632 Data Management Lab - 1 Credit
  • MIS 633 Business Intelligence & Data Integration - 2 Credits
  • MIS 634 Business Intelligence & Data Integration Lab - 1 Credit
  • MIS 637 Data Analytics and Machine Learning - 3 Credits
  • BIA 650 Optimization and Process Analytics - 3 Credits
  • BIA 652 Multivariate Data Analysis - 3 Credits
  • BIA 654 Experimental Design - 3 Credits
  • BIA 658 Social Network Analytics - 3 Credits
  • BIA 678 Big Data Technologies - 3 Credits
  • BIA 686 Practicum in Analytics - 3 Credits
  • FIN 523 Financial Management - 3 Credits
  • MGT 612 Leader Development - 3 Credits
  • MGT 699 Strategic Management - 3 Credits
  • MGT 635 Managerial Judgment and Decision Making - 3 Credits
  • MGT 641 Marketing Management - 3 Credits
  • MGT 663 Discovering and Exploiting Entrepreneurial Opportunities - 3 Credits
  • MGT 808 Fundamentals of Consulting - 1 Credit
  • MGT 809 Industry Capstone Experience - 1 to 3 Credits
  • MGT 506 Economics for Managers - 3 Credits

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 MBA: Facts & Figures

  • Employed 6 Months After Graduation: 90%
  • Average Salary: $82,563
  • Ranked #1 of 24 Best General Business Admin & Management Master's by College Factual
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