100% Online
Complete your Stevens coursework at your own pace, 100% online.
Apply by
July
31
to start September 1, 2026
33
Credits
$800 per credit
AACSB Accredited
One of only 6% of business schools worldwide to earn AACSB accreditation.
Leverage AI and analytics to solve real business problems
The M.S. in Business Analytics & Artificial Intelligence at Stevens will help you leverage emerging business analytics tools like AI, deep learning, and predictive analytics to solve business problems with insightful, evidence-based solutions.
You will build depth across multivariate analysis, optimization, machine learning, social network analytics, big data technologies, marketing analytics, and applied AI. Coursework weaves in ethical AI and responsible use of data so you can lead with clarity on bias, transparency, and governance.
Beyond the classroom, Stevens emphasizes industry collaboration and applied work, with opportunities to sharpen skills through technical boot camps in Python, R, and Tableau. You can pursue networking, projects, and career connections aligned with your goals, including while you study online.
Quick Facts
Upcoming Start
Fall 2026: September 1
BY THE NUMBERS
#3
TOP 25 BEST COLLEGES FOR ARTIFICIAL INTELLIGENCE
Ranked No. 3 on College Raptor's 'Top 25 Best Colleges for Artificial Intelligence' (2025).
#12
FOR BEST CAREER PLACEMENT
Ranked No. 12 on The Princeton Review's 'Top 20 Best Career Placement' list (2026).
#15
BEST MASTER'S OF BUSINESS ANALYTICS PROGRAMS
Ranked No. 15 on TFE Times' Best Master's of Business Analytics Programs list.
Master the Tools That Drive Business Decisions
Data-driven decision making
Learning Outcomes
- Apply descriptive statistics, regression, and time-series methods to real scenarios
- Use optimization models to improve processes in operations and finance
- Model risk phenomena and implement risk-aware decisions using quantitative tools
- Design and manage data warehouse and business intelligence systems
Machine learning and predictive analytics
Learning Outcomes
- Apply multivariate analysis techniques using R
- Implement machine learning algorithms including trees, neural networks, and clustering
- Build and evaluate predictive models on real-world data
Artificial intelligence and big data
Learning Outcomes
- Design and prototype analytics and GenAI solutions with business value
- Work with big data tools for volume, velocity, and variety at scale
- Analyze social networks for diffusion, collaboration, and organizational dynamics
Applied analytics and strategy
Learning Outcomes
- Apply segmentation, positioning, and forecasting in marketing analytics
- Use predictive, descriptive, and prescriptive analytics to improve supply chain design and operations
- Apply descriptive, predictive, and prescriptive analytics in a real-world practicum
- Evaluate AI projects with attention to fairness, accountability, and ethics
Curriculum
The M.S. in Business Analytics & Artificial Intelligence 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.
Discover Your Future at Stevens
Build advanced analytics and AI skills without putting your career on hold
Our 100% online, part-time format empowers working professionals to master cutting-edge business analytics and AI concepts while maintaining their current role. Learn from expert faculty who bridge academic research with industry applications, and connect with accomplished peers and alumni across leading companies.
Career Outcomes
Turn analytics expertise into high-impact roles across industries.
Qualify for high-demand roles such as Data Scientist, Business Intelligence Manager, and Analytics Consultant.
Master machine learning, predictive analytics, and AI governance skills valued across every industry.
Graduate from an AACSB-accredited School of Business with deep analytics expertise.
Benefit from analytics and AI roles projected to grow faster than average.
Where our graduates work
MEDIAN SALARIESFOR BUSINESS ANALYTICS & AI CAREERS
Career Outcomes
Business analytics and AI skills are in demand across every industry. Data scientist roles are projected to grow 34% through 2034 - much faster than average.
Role Title
Median Annual Earnings
Data Scientist
$112,590
Financial & Investment Analyst
$101,350
Management Analyst
$101,190
Operations Research Analyst
$91,290
Since I work full-time and live far from Stevens, the online program has been extremely beneficial for me. It has significantly reduced my commute time and has allowed me to learn from the comfort of my own home. I find it easier to balance work and school at the same time with the online program.
— Ariana Mercadante '26
'26, M.S. Business Intelligence & Analytics
Since I work full-time and live far from Stevens, the online program has been extremely beneficial for me. It has significantly reduced my commute time and has allowed me to learn from the comfort of my own home. I find it easier to balance work and school at the same time with the online program.
— Ariana Mercadante '26
'26, M.S. Business Intelligence & Analytics
FACULTY
Learn from expert faculty who bring cutting-edge research and industry experience to every course.
Alkiviadis Vazacopoulos
Teaching Professor
Jordan Suchow
Assistant Professor
Somayeh Moazeni
Associate Professor
Mahmoud Daneshmand
Industry Professor
Eunkyung An
Assistant Professor
Alkiviadis Vazacopoulos
Teaching Professor
Jordan Suchow
Assistant Professor
Somayeh Moazeni
Associate Professor
Mahmoud Daneshmand
Industry Professor
Application
We've streamlined the path to your graduate degree. Our Accelerated Application is designed for busy professionals - skip the traditional hurdles and start your Stevens journey in minutes.
At most schools
Traditional Graduate Application
- 2-3 letters of recommendation
- Statement of purpose / personal essay
- GRE or GMAT scores
- Official transcripts
- Résumé or CV
- Weeks-long review process
At Stevens
Accelerated Application
- No recommendation letters required
- No essays or personal statements
- No GRE or GMAT required
- Upload unofficial transcripts
- Upload your resume or LinkedIn profile URL
- Apply in minutes, not hours
Official transcripts will be due within 2 months of enrollment. A bachelor's degree is required. Stevens may request additional documentation if needed.
PROOF OF BACHELOR'S DEGREE
Upload a copy of your unofficial transcripts from all undergraduate institutions where credit was earned. This allows us to verify your academic background quickly.
Official transcripts will be due within 2 months of enrollment. Stevens may request additional documentation if needed.
PROFESSIONAL BACKGROUND
Demonstrate your professional experience by providing one of the following:
- Upload your résumé – Highlight your work experience, leadership roles, and career achievements
- Link your LinkedIn profile – A convenient alternative that showcases your professional journey
Work experience is valued but not required for admission.
LETTERS OF RECOMMENDATION
The Accelerated Application streamlines your application process by removing the recommendation letter requirement, allowing you to apply faster without coordinating with references.
GMAT/GRE
Standardized test scores are not required for admission to the Online MSBAAI program.
Tuition & Financial Aid
$800
Per Credit
$26,400
Total Program Cost
Exceptional Value for a Top-Tier Business Analytics & AI Degree
At $800 per credit ($26,400 total for 33 credits), the M.S. in Business Analytics & Artificial Intelligence represents outstanding value for an AACSB-accredited graduate business degree from a top-ranked institution.
Corporate Tuition Assistance
Many employers support job-relevant graduate study through the IRS $5,250 annual tax-free employer tuition benefit. If your company offers this benefit, it can significantly reduce your out-of-pocket cost over the life of the program.
Our team can help you understand how to combine employer benefits with other funding as you progress through the program.
Financial Aid and Additional Tuition Discounts
Financial Aid is available to fund your education. Alumni and corporate partner tuition discounts may be available to students who qualify.
Apply by the priority deadline (July 31, 2026) to maximize funding opportunities.
Tuition based on current per-credit rates. Tuition and fees are subject to change annually.
Tuition Calculator
Use our calculator to estimate your tuition with available discounts and employer reimbursement benefits. Keep in mind that most of our students receive some form of financial support, which can significantly reduce out-of-pocket costs.
See how much you could save based on your eligibility for workforce partner, alumni, and resident discounts.
Key Dates & Deadlines
FALL 2026
Early Submit
July 3, 2026
Eligible for $250 deposit waiver upon admission.
Priority Submit
July 31, 2026
Recommended deadline for best course selection.
Final Submit
August 21, 2026
Last day to submit your application.
Start of Classes
September 1, 2026
Begin your Stevens Business Analytics & AI journey.
*Applicants who apply by the early submit deadline and are admitted may be eligible for a $250 deposit waiver. Other conditions may apply.
