Stevens Institute of Technology - Graduate Studies
Master in Business Analytics and Artificial IntelligenceHoboken, USA
DURATION
2 Years
LANGUAGES
English
PACE
Full time, Part time
APPLICATION DEADLINE
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EARLIEST START DATE
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TUITION FEES
USD 22,247 / per semester *
STUDY FORMAT
Distance Learning, On-Campus
* /semester Full-time Tuition Rate (9-12 credits)
Key Summary
Introduction
Overview
In today's AI-driven economy, organizations urgently need leaders who can bridge the gap between business strategy and artificial intelligence. The Master's in Business Intelligence and AI at Stevens Institute of Technology prepares you to become that leader, combining advanced technical expertise with strategic business acumen.
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 is its comprehensive integration of leading-edge AI techniques—including machine learning, deep learning, natural language processing (NLP) and generative AI—with a strong ethical focus and career-oriented concentrations. 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.
Program Highlights
- Master advanced AI and analytical skills
- Industry connections that propel careers
- Hands-on, real-world experience
- Specialized concentrations for targeted career goals
- Applied Analytics and AI
- Data Science and AI
- Applied Analytics and AI
- Data Science and AI
- A comprehensive apprach to ethical AI
- Enhanced studente perience
- Invaluable networking opportunities
Admissions
Curriculum
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 four components of the curriculum ensure students develop practical knowledge that positions them to excel on the job.
- Professional skills
- Disciplinary knowledge
- Technical skills
- Infrastructure
Rankings
Rankings
U.S News & World Report
- Top 100 Best Graduate Business Schools
- Top 20 Non-MBA Online Business Programs
- Top 100 National Universities
- Top 50 Most Innovative Schools
The Princeton Review
- Among “Best Business Schools”
- Top 20 Best Career Placement
University HQ
- Top 10 Best Online Master's in Data Science Degrees
Program Outcome
Outcomes
- 98% of graduates are employed within six months of graduation
- $102,875 average compensation for graduates within six months of graduation
Gallery
Accreditations
Ideal Students
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.
Career Opportunities
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
- 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 and more.
Student Testimonials
Faculty
English Language Requirements
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