BS in AI and Quantitative Economics
Use data, AI and economics to shape decisions
Our program blends economics, artificial intelligence and data science to help you learn how to build models, analyze data and apply AI tools to understand markets, policy and behavior. It spans the College of Arts and Sciences and the School of Engineering and Applied Sciences, giving you technical training and a foundation in economic thinking.
On this page:
This STEM-designated degree is designed for students who enjoy math, coding and problem-solving. You’ll examine how AI tools address challenges in finance, health, education, climate and more, while learning to think critically about ethics and equity.
At UB, you benefit from:
- A unique interdisciplinary program at the intersection of economics, AI and data science
- A campus with major AI institutes and hundreds of AI-focused researchers
- Faculty mentors who link technical methods to real economic and social issues
- The advantages of an R1 research university
- A friendly, affordable region known as the City of Good Neighbors
This degree combines economic theory, quantitative analysis and AI methods. You will develop:
- A strong foundation in microeconomics and macroeconomics
- Skills in statistics, probability and econometrics
- Experience working with large datasets and time series
- Insight into how AI technologies affect policies, markets and everyday behavior
Quantitative Economics
Core economics courses in macroeconomics, microeconomics, statistics and econometrics with advanced economics electives (health, environment, development, finance, labor, public policy, education and more)
AI and Society
Courses focused on how AI affects communities, mass media and policy, as well as examining ethical theories, including the risks and benefits.
AI and Technology
Courses in programming, linear algebra, probability and machine learning
AI and Society Capstone
A capstone experience consisting of robust research and applying what you've learned about AI, economic and policy frameworks.
Find experiential learning opportunities outside the classroom that help you build a portfolio of technical and analytical work that employers and graduate programs value:
- Pursue internships in finance, policy, analytics or technology
- Join programming competitions, faculty research or experiential learning projects using AI
- Study abroad to examine global markets and technologies
- Join student clubs focused on economics, data science, computing or social impact
With training in economics, AI and quantitative methods, graduates can work across sectors that rely on data-driven decision making. Potential paths include:
- Policy and public sector analysis
- Finance and financial technology
- Business analytics and consulting
- Data analysis roles in health, education or community organizations
- Graduate study in economics, finance, data science, machine learning and related fields
If you want to use math, coding and economic reasoning to help people and organizations make better decisions, the BS in AI and Quantitative Economics at UB gives you the tools to do it. You’ll learn in a research-intensive environment, in a welcoming and affordable city, alongside classmates and faculty committed to using AI for the social good.