The MQM's functionally tracked curriculum is unique to Fuqua's program. We take the hard science of data and teach it in the business context that's most interesting to you.
Knowledge Through Cutting-Edge Research
Professors of Accounting Bill Mayew and Mohan Venkatachalam discuss the hidden clues in corporate speech.
The data analytics field is fast moving, so you want to work with faculty who are finding answers to current issues and know the latest analytics tools:
- Our Operations Management faculty have worked with Oracle's retail division to explore a product-recommendation system based on customer transaction data.
- Our Economics faculty have contributed to the design of auctions used by the U.S. Federal Communication Commission to sell spectrum licenses.
- Our Accounting faculty have investigated clues that assist in the detection of fraud, such as numeric clues in financial statements, linguistic clues from written prose, and vocal clues from corporate speech.
- Our faculty are at the forefront of the quantitative decisions making and data analytics revolution. Their expertise spans across methodological domains and analytics tools that are critical in a quantitative management setting. A partial listing includes:
- Optimization: convex optimization, dynamic programming, stochastic programming, relaxations and approximations
- Applied probability: large system behavior, queuing, optimal control, social network analysis
- Big data: machine learning, high-dimensional statistics, non-structured data analysis, causal inference, sports analytics
- Mechanism design: online ad auctions, budget constrained auctions, dynamic contracting and pricing, game theory
- Statistics: Bayesian and classical, general linear models, estimation algorithms, statistical inference
Analysis Through Proven Teaching Methods
Your academics are brought to life through lectures, class discussions, and case-based learning.
The case-based learning method uses real-world business cases as the basis for discussions and team projects. It challenges you to see business problems from a corporation's perspective and to take what you learn in class to develop quantitatively-supported recommendations.
You're expected to be an active participant in the learning process. Reading assignments prepare you for class discussions, and in some cases, active debate and analysis will be key to creating a rich learning experience.