Program Overview

The Division of Computational & Data Sciences (DCDS) at Washington University in St. Louis trains students interested in problems from across a range of disciplines that share a common reliance on data and computing.

The introduction of now-standard tools from statistical analysis and hypothesis testing transformed the practice of natural and social science in the mid-twentieth century. Emerging tools from computational and data science have the potential to bring about an even larger transformation of scientific practice, especially in the social sciences. The questions raised by data generated by and about human behavior are engaging and profound. However, many, if not most, of these questions can only be tackled using a multi-disciplinary approach that combines deep knowledge of the capabilities and operation of data science techniques, with the domain expertise needed to apply them effectively to the problems under consideration.

Doctoral students in Computational & Data Sciences receive strong methodological training in modern computational and statistical methods, and also acquire expertise in a particular social science application area.

The program is inherently interdisciplinary and brings together leading experts across the university who are using data to solve some of the greatest challenges that our world faces today. Faculty include both data and computing experts as well as domain experts from different application areas.

DCDS in the News

Barch receives $3.5 million for research on brain, mental illness

June 26, 2018

Deanna Barch, chair of the Department of Psychological & Brain Sciences in Arts & Sciences and the Gregory B. Couch Professor of Psychiatry in the School of Medicine, has been awarded a $3.5 million MERIT award from the National Institute of Mental Health of the National Institutes of Health (NIH).

Computational Connections

At the School of Engineering & Applied Science, researchers are leveraging the power of artificial intelligence to address the challenges of making this technology useful in the real world.