Business Analytics & Artificial Intelligence
Master of Science
Live online or in-person
Data is everywhere. It’s the currency and language of modern business.
The Master of Science (M.S.) in Business Analytics and Artificial Intelligence combines advanced data analytics techniques with cutting-edge AI skills to prepare future business leaders for high-demand roles in the global economy. This program equips graduates to leverage AI-powered insights to drive business innovation and success across industries.
Highlights
STEM OPT extension eligible
Complete in 16 months
No GMAT/GRE entrance exam required
Key Features
STEM-Designated Program
Qualifies international students for the Optional Practical Training (OPT) extension
Live online or in-person
International students here on a student visa who expect to use the OPT visa program must attend on campus.
Innovative Curriculum
Courses in predictive modeling, machine learning, and responsible AI governance
Practical Experience
Hands-on projects with industry partners to address real-world business challenges
Strategic Location
Positioned in upstate New York’s growing tech ecosystem supported by the NY SMART I-Corridor Tech Hub
Careers
- AI/Data Science Engineer
- Business Intelligence Engineer
- Business Analyst
- Data Architect
- Management Consultant
Value of your degree
Average salaries, according to the U.S. Bureau of Labor Statistics (2023):
Database architects: $137,030 | Data scientists: $119,040 | Management analysts: $99,410
Program is ideal for
- Recent graduates with a background in business, computer science, or quantitative disciplines
- International students seeking advanced STEM education and extended OPT opportunities
- Working professionals aiming to upskill in AI-driven business strategies
- Individuals passionate about leading in a data-rich, AI-powered environment
What to Expect
- Students will master predictive analytics, machine learning, and the integration of AI to solve complex business challenges.
- The program provides immersive learning through real-world projects where AI is applied to optimize strategies across industries.
- Personalized career guidance and AI-focused workshops prepare students for leadership roles in data-driven environments.
- Participants will develop the ability to design and implement AI solutions that drive business innovation and efficiency.
- A diverse cohort of students provides global perspectives, enhanced by the program’s STEM designation and AI-centered curriculum.
Affordability
Grants, scholarships, veterans benefits, loans, and undergraduate loan forgiveness are options for paying for this grad degree. Making grad school affordable »
In Demand
The U.S. Bureau of Labor Statistics projects a 36% growth in data science and analytics roles over the next decade. Graduates of this program will be uniquely positioned to lead teams, develop AI-driven strategies, and contribute to tomorrow’s data-driven economy.
Curriculum Examples
- Predictive Modeling for Business teaches forecasting using statistics and AI.
- Applied Artificial Intelligence in Business focuses on AI tools like machine learning.
- Business Intelligence and Data Strategy covers data governance and analytics.
- Data Visualization and Storytelling hones skills to communicate data insights.
- AI for Strategic Management trains students to create AI-driven business solutions.
- Responsible AI examines ethical and societal impacts of AI in business.
- Capstone Project or Internship offers hands-on AI and analytics experience.
Student View
"My grad school experience is beyond what I could’ve imagined. I got lucky having two of the most knowledgeable professors I could’ve hoped for, who are willing to not just teach but also mentor me as I make my way in the field. As for what’s strong about Naz, it’s the faculty you meet, like Professor Allan and Professor Shukla who see us as not just students, but the future. They acknowledge us where we are and work with us to be where we want to be."
— Anthony S. Bray III