Master's in Business Analytics & Artificial Intelligence

Program Overview

---

Master's in Business Analytics & Artificial Intelligence

=============================================

Program Details

Degree

Master of Science

School

School of Business

Department

School of Business Graduate Program

Available

On campus

The Ideal Candidate

The Business Analytics and Artificial Intelligence program is designed for individuals with a solid foundation in quantitative and computational skills. Ideal candidates typically have had an undergraduate course(s) in calculus and programming with a background in engineering, science, computer science or a related technical discipline.

If your background is less technical, Stevens is still a great fit. This program ensures that students of all levels can find a pathway that aligns with their skills and aspirations. We encourage you to connect with an admissions advisor to explore your options. Alternatively, you may want to consider our Master's in Information Systems with a soon-to-be available concentration in Analytics and AI, tailored for individuals from non-technical fields.

Program Highlights

• Master Advanced AI and Analytical Skills: The Business Intelligence and Artificial Intelligence master’s degree blends business strategy, analytics and artificial intelligence, equipping you with the tools to solve complex business challenges. You will gain expertise in statistical analysis, machine learning and AI applications, which are essential for navigating today’s AI-driven industries.
• Industry Connections That Propel Careers: Close ties with industry professionals provide opportunities to engage in real-world AI and analytics challenges. Collaborations on projects, internships and capstone experiences develop technical expertise and business acumen while helping you build valuable professional networks.
• Hands-On, Real-World Project Experience: Tackle scenarios that mimic real industry challenges, honing problem-solving and collaboration skills. The program emphasizes ethical AI, empowering graduates to deliver effective and socially responsible solutions.
• Specialized Concentrations for Targeted Career Goals: The Business Analytics and Artificial Intelligence program offers concentrations in applied analytics & AI and data science & AI.

Concentrations

• Applied Analytics & AI: Ideal for students aiming to leverage data for decision-making in industries such as marketing, healthcare, supply chain management and more. This concentration is for students that want to apply analytics and AI in specific industries.
• Data Science & AI: Designed for students looking to develop advanced AI-powered solutions, focusing on methods like machine learning, deep learning, and natural language processing. This concentration is for students that want to build solutions that incorporate AI technologies to be used by others.

A Comprehensive Approach to Ethical AI

The Business Analytics and Artificial Intelligence master’s program integrates ethical AI principles across each course. Learn to address pressing issues like bias, transparency and privacy so you can deploy responsible AI solutions in any industry.

Enhanced Student Experience

Enhance your learning through events bridging academia and industry, technical boot camps (e.g., Python, R, Tableau) and networking opportunities. Digital portfolios and specialized career services can help business analytics and artificial intelligence program graduates land roles at top companies.

Invaluable Networking Opportunities

Participation in industry projects such as the Industry Capstone Program connects you with leading companies, providing critical experience and career advancement opportunities.

Drive Innovation with AI-Powered Insights

The Business Analytics and Artificial Intelligence master’s program offers a unique blend of business strategy, advanced analytics and AI expertise. With a focus on real-world applications, ethical AI practices and industry collaboration, the program prepares you to navigate AI’s complexities across key business domains, including, but not limited to, finance, healthcare, marketing and supply chain management.

What sets Stevens’ Business Analytics and AI apart

• Unlike general analytics programs, the Business Analytics and Artificial Intelligence master’s at Stevens offers a unique blend of advanced AI techniques, ethical AI frameworks and career-specific concentrations.
• It provides comprehensive training beyond foundational data analysis, including specialized knowledge in emerging AI fields, such as machine learning, deep learning and generative AI in a business context.
• Additionally, this program emphasizes responsible AI practices, ensuring you can deliver effective, ethical solutions for modern businesses.

Business Analytics and AI 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, or even the chance to nurture your own entrepreneurial venture — and is customized for you, your education and your career aspirations.

Board of Advisors

An Advisory Board of distinguished leaders guides the Business Analytics and AI program’s industry-ready curriculum across multiple discipline areas, ensuring students in the program receive the skills and opportunities needed to be successful after graduation.

Business Analytics and AI Careers

The Business Analytics and Artificial Intelligence master’s program develops in-demand knowledge and skills to put you on track for career success in a variety of roles like:

• AI Specialist
• AI Consultant
• AI Product Manager
• Artificial Intelligence Engineer
• Machine Learning Engineer
• Business Analyst
• Business Intelligence Consultant
• Data Analyst
• Data Engineer
• Data Scientist
• Software Development Engineer

Organizations hiring Business Analytics and Artificial Intelligence graduates include

• Amazon
• BlackRock
• Capital One
• Caterpillar
• JPMorgan Chase & Co.
• Wolters Kluwer

Earn Your M.S. in Business Analytics & Artificial Intelligence Just Minutes from NYC

Being just minutes from New York City, a global hub for finance, technology and artificial intelligence, gives Stevens Business Analytics and AI students an unparalleled advantage in launching and advancing their careers.

Application Deadlines

Applicant	Fall	Spring	Summer (Domestic Applicants Only)
Master's Full-Time	April 15	November 1	May 1
Master's Part-Time	August 15	January 1	May 1

• Graduate programs admit students on a "rolling" basis, meaning that students may still apply after the preferred deadlines.
• Students requiring an F1 Visa are strongly encouraged to apply by the preferred deadlines to allow time for visa processing.
• GMAT/GRE test scores are optional for all master’s programs. Applicants who think that their test scores reflect their potential for success in graduate school may submit scores for consideration.

Business Analytics and AI Curriculum

The Business Analytics and Artificial Intelligence master's program at Stevens is available on campus or fully online.

• BIA 568 Management of AI Technologies - 3 Credits
• BIA 580 Foundations of Business Analytics - 3 Credits
• MIS 630 Managing the Data Resource - 3 Credits
• BIA 650 Optimization and Process Analytics - 3 Credits
• BIA 652 Multivariate Data Analysis - 3 Credits
• BIA 654 Experimental Design - 3 Credits
• MIS 637 Data Analytics and Machine Learning - 3 Credits

Concentrations & Electives

With the approval of their advisor, students may take any four Stevens graduate classes to satisfy the requirements of this program. Alternatively, they may select four courses in either of the following concentrations.

Applied Analytics & AI Concentration

• FIN 515 Financial Decision Making - 3 Credits
• MIS 636 Data Integration for Business Intelligence & Analytics - 3 Credits
• BIA 658 Social Network Analytics & Visualization - 3 Credits
• BIA 672 Marketing Analytics - 3 Credits
• BIA 674 Supply Chain Analytics - 3 Credits
• BIA 686 Practicum in Analytics - 3 Credits
• BIA 810 Healthcare Analytics - 3 Credits
• One approved class in a related area

Data Science & AI Concentration

• BIA 656 Advanced Data Analytics and Machine Learning - 3 Credits
• BIA 660 Web Mining - 3 Credits
• BIA 662 Augmented Intelligence and Generative AI - 3 Credits
• BIA 667 Deep Learning & Applications - 3 Credits
• BIA 678 Big Data Technologies - 3 Credits
• BIA 679 Big Data Practicum - 3 Credits
• One approved class in a related area

Program Architecture

The Business Intelligence & Analytics program was designed to prepare professionals for the varied set of skills they will need to become standouts in this rapidly shifting field. The curriculum's four components ensure students develop practical knowledge that positions them to excel on the job.

• Professional skills
• Business and communication skills are developed through a strong learning culture nurtured by seminars, industry-supported job-skills workshops, talks by industry leaders and an active student club.
• Disciplinary knowledge
• The centerpiece of the program is a rigorous 11-course curriculum that emphasizes both theory and practice, culminating in a practicum course in which students work on real applications alongside industry mentors in a student’s area of interest.
• Technical skills
• Exceptional software skills are a requirement to manipulate, analyze and mine data. To that end, students attend a series of free boot camps that provide training in industry-standard software packages, such as SQL, R, SAS, Python and Hadoop. These intensive boot camps occur over four three-day weekends in the fall and spring.
• Infrastructure expertise
• The Hanlon Financial Systems Center at Stevens is home to two labs that offer the kind of technology in use on Wall Street, from top-of-the-line data management software to Bloomberg terminals, and a number of large data sets that support research and industry-strength educational exercises. It's powered by hardware that enables the study and manipulation of enormous volumes of data.

Meet the Program Director

Christopher Asakiewicz is an industry professor and the Director of the Stevens Alliance for Innovation and Leadership (S.A.I.L.). He is a senior management professional with a strategic background in business technology management, information technology, consulting and education, including 21 years as a Vice President of Global Business Technology at Pfizer. Chris has done pioneering work in the area of knowledge mining and its application within life sciences, most notably as a means of accelerating translational research. His research and teaching interests include cognitive systems, healthcare analytics, enterprise-level application, information and business process rationalization, as well as talent, skill, and capability development. He earned both his master’s in electrical engineering and Ph.D. in information management from Stevens.

Frequently Asked Questions (FAQs)

What is the Business Analytics and Artificial Intelligence master’s program?

The master’s in Business Analytics and Artificial Intelligence is a specialized graduate program designed to empower students with expertise in business strategy, advanced analytics and AI. This program stands out by combining in-depth training in machine learning, deep learning, natural language processing (NLP) and generative AI with a strong focus on ethical practices and real-world applications.

What Do AI Engineers Do?

AI Engineers design, develop and deploy artificial intelligence systems and solutions. They bridge the gap between data science and software engineering, creating AI-powered applications that solve complex problems and enhance business processes.

What Industries Are Adopting AI-Driven Business Analytics?

The following industries are increasingly leveraging AI to optimize decision-making and strategy:

• Finance
• Healthcare
• Retail
• Supply Chain Management
• Cybersecurity

How Long Does it Take to Complete the Business Analytics and AI Master's Program?

The program can be completed in 12-18 months full-time or part-time for working professionals.

What’s the difference between this degree and a Master’s in Data Science?

While Data Science programs focus on advanced programming and AI model development, this Business Analytics & AI program blends analytics, business strategy and AI applications for real-world business environments.

Rankings and Recognition

• #14 Quant Finance Master’s Guide (North America) - Risk.net
• #10 Data Science PhD Programs - TechGuide
• #8 Best Online Masters in Data Science Degrees - University HQ
• #68 Best Business School - U.S. News & World Report
• #65 Best Online MBA Programs - U.S. News & World Report
• #19 Best Online Grad Information Technology Programs - U.S. News & World Report
• #42 Best Online Master's in Business Programs - U.S. News & World Report
• #3 Top 25 Best Colleges for Artificial Intelligence - College Raptor
• #1 Best General Business Admin & Management Masters - College Factual
• #15 Best Financial Engineering Programs - QuantNet
• #3 Top Ranked Finance Programs in NJ - University HQ
• #4 Best Fintech MBA Programs - Tech Guide

M.S. in Business Analytics and AI: Facts & Figures

• $102,875 Average Salary
• 98% Employed 6 Months After Graduation
• #8 Best Online Masters in Data Science Degrees - University HQ
• #15 Best Master’s of Business Analytics Programs - TFE Times
• #5 Recruiter Assessment - U.S. News & World Report
• #72 Best Business School - U.S. News & World Report
• #5 Recruiter Assessment - U.S. News & World Report
• #72 Best Business School - U.S. News & World Report

Testimonials

• "You become multifaceted at Stevens. In the BI&A program, we learn data science from the perspective of how to apply these techniques in business. And we have members who come from completely different backgrounds. The variety of people who come to this school makes a difference." - Rohan Gala '19
• "I chose business intelligence and analytics because I wanted to do something in the technology space, but at the same time learn the business side of it. This amalgamation of business and technology was a great fit for me." - Shardul Shinde '22

Rankings

• #14 Quant Finance Master’s Guide (North America) - Risk.net
• #10 Data Science PhD Programs - TechGuide
• #8 Best Online Masters in Data Science Degrees - University HQ
• #68 Best Business School - U.S. News & World Report
• #65 Best Online MBA Programs - U.S. News & World Report
• #19 Best Online Grad Information Technology Programs - U.S. News & World Report
• #42 Best Online Master's in Business Programs - U.S. News & World Report
• #3 Top 25 Best Colleges for Artificial Intelligence - College Raptor
• #1 Best General Business Admin & Management Masters - College Factual
• #15 Best Financial Engineering Programs - QuantNet
• #3 Top Ranked Finance Programs in NJ - University HQ
• #4 Best Fintech MBA Programs - Tech Guide

Contact

Stevens Institute of Technology 1 Castle Point Terrace, Hoboken, NJ 07030 201.216.5000

• Visit
• Apply
• Make a Gift
• myStevens
• Academics
  • Academics at Stevens
  • Find Your Program
  • Our Schools
  • Undergraduate Study
  • Graduate Study
  • Stevens Online
  • Corporate Education
  • Samuel C. Williams Library
  • Academic Catalog
• About
  • Offices and Services
  • Policy Library
  • Accreditation
  • Consumer Info
• Campus
  • Events
  • Campus Safety
  • Health Resources and Information
  • Bookstore
• Connect
  • Directory
  • Work at Stevens
  • Admissions
  • Media Relations
• Privacy Policy
• Title IX Policy
• Emergency Info

2025 Stevens Institute of Technology