The MS in AI and Quantitative Economics program is STEM-designated and helps you develop advanced skills at the intersection of economics and artificial intelligence. Through economic theory, quantitative analysis, machine learning and applied coursework, you’ll learn to turn complex data into insights for business and policy.
Develop the skills to analyze economic trends, forecast outcomes and use artificial intelligence to make informed decisions in business, finance and public policy.
As businesses, governments and organizations increasingly rely on data and artificial intelligence, they need professionals who can combine economic reasoning with advanced analytical approaches to solve complex problems.
At UB, you'll learn from interdisciplinary expertise across Economics and AI and Society. This combination brings together an understanding of economic systems with emerging technologies that help organizations interpret information and make informed decisions.
As a graduate student, you'll benefit from:
At UB, you will be part of a growing AI community that connects research, technology and real-world impact. With more than 400 researchers working in AI and related fields, UB is helping shape the future of artificial intelligence through initiatives like Empire AI and a National Science Foundation-funded National AI Institute. You'll benefit from interdisciplinary expertise and a university-wide commitment to using AI responsibly to address important challenges.
Degree type: Master of Science (MS)
Field: AI and Quantitative Economics
Program length: Designed for completion in one year
Designation: STEM-designated
The MS in AI and Quantitative Economics brings together two complementary fields: economic theory, which helps explain how markets and organizations make decisions, and artificial intelligence, which provides new ways to analyze complex information.
You'll explore how economic models and AI methods can work together to uncover patterns, forecast outcomes and evaluate decisions. This interdisciplinary perspective helps you look beyond the data to understand the economic forces and human choices behind it.
This STEM-designated program may allow eligible F-1 international students to apply for a 24-month extension of Optional Practical Training (OPT), providing additional opportunities to gain practical experience in the United States.
Through coursework and applied learning, you'll develop advanced skills at the intersection of economics, artificial intelligence and quantitative analysis.
This program builds the analytical and computational skills needed to understand economic systems and apply AI to complex decisions.
You will learn to:
You'll graduate ready to connect economic reasoning with advanced analytics and support data-driven decisions in business and policy.
Put your skills into practice through applied research and projects that connect economic theory with real-world challenges.
Opportunities include:
These experiences help you strengthen your analytical skills and apply economic knowledge to professional and research challenges.
This program is offered through the Department of AI and Society and the Department of Economics, bringing together expertise from the College of Arts and Sciences and the School of Engineering and Applied Sciences. This collaboration connects technical innovation with real-world perspectives to prepare students for an AI-driven future.
The 30-credit curriculum combines graduate-level economics, artificial intelligence and quantitative methods with electives that let you explore your interests. You'll study how economic systems function, examine advanced methods for analyzing data and bring these areas together through a culminating experience.
Explore the foundations of microeconomics and macroeconomics and how economic models explain the decisions of individuals, businesses and governments.
Study the quantitative methods used to investigate economic relationships, evaluate trends and forecast outcomes.
Topics include econometrics, statistical modeling, time series analysis and economic forecasting.
Study the mathematical and computational foundations of artificial intelligence and the methods used to analyze economic information.
Explore machine learning, big data analysis and computational approaches to understanding economic systems. You'll also examine the social, ethical and policy considerations involved in applying AI technologies.
Explore advanced economic topics that connect quantitative analysis and AI to your academic and career interests.
Elective areas may include:
Bring together your knowledge of economics, artificial intelligence and quantitative methods through a culminating capstone experience.
You'll apply the theories, analytical techniques and technologies you've studied to investigate a real-world economic, business or policy challenge.
The capstone allows you to integrate concepts from across the program and demonstrate your ability to approach complex problems through both economic and computational perspectives.
Organizations across industries are using artificial intelligence and economic data to forecast trends, evaluate policies and make strategic decisions. The MS in AI and Quantitative Economics prepares you for opportunities in professional and research settings where economic insight and advanced analytics are increasingly valuable.
Your skills can prepare you for work in areas such as:
Graduates can pursue opportunities in consulting firms, financial institutions, government agencies, technology companies and research organizations. The program also provides a foundation for further graduate study.
Ready to combine economic thinking with artificial intelligence? Build the skills to understand complex economic challenges, uncover insights in data and help shape smarter decisions for the future.
For more information, please reach out to us!