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Statistics & Operations Research

The Department of Statistics and Operations Research specializes in inference, decision-making, and data analysis involving complex models and systems exhibiting both deterministic and random behavior. We focus on developing and analyzing the necessary quantitative and computational tools to enable practitioners to solve problems in statistical and probabilistic analysis, modeling, optimization, and the evaluation of system performance. Our research work is at the core of Data Science, Machine Learning/AI, Analytics, Network Science and related fields.

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Spotlight

DataFest 2023

DataFest 2023

ASA DataFest at Duke 2023 will take place Friday March 24th through March 26th…

Data Science Position

Data Science Position

The School of Data Science and Society and STOR are hiring a joint position…

Anniversary

Anniversary

Check the STOR Fest website for information and activities…

RTG on Networks

RTG on Networks

A team from the department was awarded a five-year NSF RTG award…

News

 

Research

Optimization

Optimization
The research of the Optimization group covers a wide range of topics, such as convex and variational analysis, semidefinite programming, convex and nonconvex programming, complementarity problems and variational inequalities, integer programming, and optimal control…

Probability

Probability
The Probability group encompasses a wide range of research interests and research expertise including, Extreme Value Theory and stochastic dynamical systems with applications in Engineering, Oceanographic, Environmental and Biomedical sciences; Stochastic Analysis, Large Deviations…

Statistics

Statistics
The research interests and expertise of the Statistics group encompass many active areas of statistical research and application, including inference for complex data, time series, and dynamical systems, machine learning, network analysis, environmental statistics, statistical genomics, and financial…

Stochastic Modeling

Stochastic Modeling
The Stochastic Modeling group mainly focuses on decision making under uncertainty in complex, dynamic systems, and emphasizes practical relevance. Standard stochastic methodological and modeling techniques like discrete and continuous-time Markov chains, renewal and regenerative…

Teaching

Students sitting around tables while man writes on chalkboard

The department runs highly popular Statistics and Analytics (STAN) major and minor, and partners for Data Science (DS) minor. Our offerings include “Foundations of Statistics and Data Science” (STOR 120), “Introduction to Data Science” (STOR 320), “Sports Analytics” (STOR 538) and many other highly sought undergraduate courses.

Our graduate MS and Ph.D. programs in Statistics and Operations Research provide challenging and comprehensive training across the full spectrum of STOR.

Outreach

Three people sitting at a table with graphs in the background

The department runs the UNC Statistical / Data Science Consulting Center, which serves clients across campus and elsewhere. Under the supervision of faculty members, graduate students work with the clients to address their statistical & data science questions.

Separately, STOR graduate students run the Data Outreach Program for Students (Data OPS) aimed at educating local K-12 students in data science topics.

 

Upcoming Events

Thursday 8:00 am

PhD Defense: Dhruv Patel

Friday 12:00 pm

PhD Defense: Younghoon Kim

Friday 2:00 pm

PhD Defense: Siqi Xiang

Friday 3:30 pm

GSS: Taylor Petty

Monday 3:30 pm

Colloquium: Didong Li

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Statistics & Operations Research
University of North Carolina at Chapel Hill
318 Hanes Hall, CB #3260
Chapel Hill, NC 27599-3260

stor@unc.edu
919-843-6024
919-962-1329
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