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

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

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