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The University of Richmond's computer science program offers students a framework for understanding computer technology and its mathematical foundations.

Latest News

Beginning Fall 2020, Computer Science majors may choose to add a concentration in Data Science and Statistics. Data Science is an emerging interdisciplinary field that uses scientific methods, processes, algorithms, and systems to extract knowledge from data. The Data Science and Statistics (DSS) Concentration for Computer Science majors at University of Richmond is designed to supplement the major, grounding the student with a solid theoretical foundation while building the strong analytic skills that are needed to work with large and/or complex data sets. The DSS concentration prepares students for graduate study in the statistical sciences and supports students who aim for careers in any emerging area of data science.

Everyone is welcomed: Student/faculty Game Night every Tuesday, 5:30 pm to 7:00 pm +, Jepson Hall 212C. For info, contact Dr. Kathy Hoke,

Computer Science and Chemistry double major Hunter Evans, R'20, placed third in the Mona Symposium, an international conference focused on medicinal chemistry, in Kingston, Jamaica, as part of our EnCompass international program.

Spiders having fun by surprising Dr. Lawson with commentary on the consistency of his wardrobe.  Imitation is the sincerest form of flattery!

Dress Like Your Computer Science Teacher Day

Faculty Highlights

  • Park published

    Joonsuk Park, Assistant Professor of Computer Science, and UR students Aalok Sathe, Salar Ather, Tuan Mahn Le, and Nathan Perry recently published Automatic Fact-checking of Claims from Wikipedia. Park will present the paper at LREC 2020 in May.

  • Denny to Present in Czech Republic

    Jory Denny, Assistant Professor of Computer Science, will present his paper, “Topology-based Group Routing in Partially Known Environments,” at the 35th ACM/SIGAPP Symposium on Applied Computing in the Czech Republic.

  • Bhakta Awarded $100K Grant

    Dr. Prateek Bhakta was awarded a $100,000 grant for research on making sure donated livers reach those who need them most.

  • Arnold Publishes New Book

    A Computational Approach to Statistical Learning (February 2019; CRC Press) with Mike Kane (Assistant Professor of Biostatistics at Yale) and mathematician Bryan Lewis. 

  • Tilton, Arnold Grant

    Rhetoric professor Lauren Tilton and mathematics professor Taylor Arnold received a grant from the National Endowment for the Humanities to develop software that will analyze how moving images such as film, television, and news broadcasts shape cultural norms.

  • Krehbiel Grant

    Dr. Sara Krehbiel and her collaborator, Rachel Cummings, just received a research grant from Mozilla for their work on the project, Differentially Private Analysis of Growing Datasets.

  • Denny Article

    Computer science professor Jory Denny, with Kaiwen Chen, '18, and Hanglin Zhou, '20, published “A Topology-based Path Similarity Metric and Its Application to Sampling-based Motion Planning,” in Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems.

  • Krehbiel Papers

    Computer science professor Sara Krehbiel had two papers accepted into the Conference on Neural Information Processing Systems: "Differential privacy for growing databases,” With Rachel Cummings, Kevin Lai, and Uthaipon Tantipongpipat, '16, and “Differentially private change-point detection,” with Rachel Cummings, Yajun Mei, Tuo Rei, and Wanrong Zhang.

  • Szajda Article

    Computer science professor Doug Szajda and co-authors Patrick Traynor, '02, and Rachel Culpepper, '19, published "Mitigating Risk while Complying with Data Retention Laws," which was accepted to 25th ACM Conference on Computer and Communications Security.

  • Shaw Grant

    Dr. Kelly Shaw received a National Science Foundation grant for her project, "Towards Secure, Privacy-Preserving, Verifiable Cyberphysical Systems."

Scholarship Repository Readership

The University of Richmond's Scholarship Repository shares faculty publications with a world-wide audience. The map below shows where articles from math and computer science faculty are being read around the globe.

Computer Science Feature Stories

Contact Us

Mailing address:
Department of Math & Computer Science
212 Jepson Hall
221 Richmond Way
University of Richmond, VA 23173

Phone: (804) 289-8077
Fax: (804) 287-6444

Department Chair: Kathy Hoke
Computer Science Program Coordinator:
Barry Lawson
Administrative Coordinator: Kathy Rothert