318 Hanes Hall, CB #3260 Chapel Hill, NC 27599-3260
919-962-1329

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.

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

Teaching

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

Outreach

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

15 September 2021
17 September 2021

Graduate Seminar: Pavlos Zoubouloglou

3:30 pm - 4:30 pm
120 Hanes Hall, 204 East Cameron Ave
Chapel Hill, NC 27599 United States
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20 September 2021

STOR Colloquium: Iain Carmichael, University of Washington-Seattle

3:30 pm - 4:30 pm
120 Hanes Hall, 204 East Cameron Ave
Chapel Hill, NC 27599 United States
+ Google Map
01 November 2021
08 November 2021

STOR Colloquium: Lauren Davis, North Carolina A&T University

3:30 pm - 4:30 pm
120 Hanes Hall, 204 East Cameron Ave
Chapel Hill, NC 27599 United States
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15 November 2021

Ph.D. Defense: Nhan Huu Pham

1:30 pm - 3:30 pm
Hanes 130, 204 East Cameron Ave
Chapel Hill, 27599 United States
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22 November 2021

STOR Colloquium: George Lan, Georgia Institute of Technology

3:30 pm - 4:30 pm
120 Hanes Hall, 204 East Cameron Ave
Chapel Hill, NC 27599 United States
+ Google Map

#TarHeelsTogether: @UNCstor will introduce a #datascience minor in Fall 2021 that is designed to appeal to students majoring in a broad array of disciplines. The minor is an important component of the soon-to-launch data science initiative at UNC. https://www.unc.edu/posts/2021/05/20/new-data-science-minor-to-launch-in-fall-2021/

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