Sample Grad Courses
- AI and Deep Learning
- AI Business Project
- Analytics Design and Applications
- Intro to AI and Business
- Generative AI and Business Applications
- Professional Communication Programming for Analytics
Sample Grad Electives
- Agentic AI Application
- Big Data
- Data Management and Warehousing
- Intro to Business Analytics
- Machine Learning for Business Analytics
- Social Media and Text Analytics
Optional Advanced Certificates of Achievement
- Analytics
- Systems and Data Architecture
AI in Business 4+1
Why study artificial intelligence for business at Geneseo?
This program allows Geneseo undergraduates to complete both a bachelor’s and a master’s degree in an accelerated format. The University of Rochester’s Simon Business School STEM-designated MS in Artificial Intelligence in Business blends Python-based analytics, core AI concepts, and hands-on projects to prepare students for a career in AI-driven business.
Students save both time and tuition while building expertise in programming, core statistics, and AI-driven analytics for modern business challenges. By beginning MSAIB coursework during their senior year, students may move directly into graduate-level study while still benefiting from Geneseo’s close faculty mentorship and small-class environment. The program welcomes students from any major; applicants must have successfully completed one calculus and one statistics course at Geneseo.

Partnership Program
- Any BA or BS from Geneseo + MS in Artificial Intelligence in Business
Program Highlights
- Earn a BA or a BS and an MSAIB in five years.
- Students may take up to three Simon graduate courses their senior year to apply toward the MS degree.
- Students may apply up to six UR credits to fulfill their undergraduate degree open electives.
- Early assurance into UR’s Simon Business School as a matriculating first-year Geneseo student or acceptance as a junior.
- The STEM designation signals analytical rigor to employers.
- UR’s Career Management Center and Office of Student Engagement provide connections with top employers and offer co-curricular experiences, including student clubs and leadership development.
- Internship track supports students seeking US business experience and additional time for career exploration. Non-internship track allows for shorter program time.
- No GMAT/GRE score required.
- Access to Simon career support.
Example Careers
- AI ethics specialist
- AI solution manager
- AI strategist
- Business intelligence developer
- Computer vision engineer
- Data miner and analyst
- Machine learning engineer
- Prompt engineer Robotics engineer
Contact Info
Prospective Students
Kevin Reed, Assistant Director of Admissions
reedk@geneseo.edu
Doty Hall 200B
585-245-5435
Current Students
Angela Buchiere, Director of Student Services, School of Business
abuchiere@geneseo.edu
South Hall 111A
585-245-5369




