MBA and M.S. in Business Intelligence and Analytics Dual Degree Master’s Program
Program Details
Degree
Master of Science or Dual-Degree MBASchool
School of BusinessDepartment
School of Business Graduate ProgramAvailable
On Campus & OnlineThis dual program offers an exceptional combination of management skills with deep and practical knowledge of the technical aspects of information systems. It incorporates a unique blend of courses on management skills, technology and analytics skills, and human skills, particularly suited for Analytics professionals.
The dual MS-MBA degree provides you with a diverse skill set encompassing both business management principles and specialized skills in data analysis, interpretation, and decision-making. You will earn two separate Master’s degrees at the completion of this dual degree program.
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: This MBA program holds the STEM designation, 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
Few MBA programs consider how rapidly the data revolution has changed the ways managers recognize opportunities and identify trends. This innovative STEM MBA is taught by faculty who understand the traditional managerial toolkit — marketing, strategy and finance — must be complemented by skills in technology and analytics to create success.
Your MBA courses will feature applied exercises that prepare you to be a leader who is capable of making fast, data-supported decisions. MBA coursework emphasizes collaboration through group projects and presentations and develops your creativity and critical thinking skills through the incorporation of new analytical tools and the latest research insights.
*A STEM-designated program allows students from outside of the U.S. to be eligible for a 24-month extension of their Optional Practical Training (OPT).
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.
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
Please note: MGT 808 is a 0-credit pre-requisite course for MGT 809.