Data Science and Computer Science

Person fixing large computer servers
The world is currently undergoing a data revolution. The confluence of the volume, speed, and availability of data is transforming information and knowledge production—and this area of focus touches nearly every discipline across our campus.
 
Yale is not only expanding data and computer science in its applications, benefiting research throughout the campus, but the university is also advancing fundamental research underlying this area. Climate change, political polarization, health care, and medical discoveries are all vital areas for data-driven research.

Highlighting Progress

Institute for Foundations of Data Science

This new institute, also known as the Kline Tower Institute, advances research in the mathematical, algorithmic, and statistical foundations of data science and their application to other disciplines, helps scholars apply new methods of data science, and inspires advances in foundational research.

Institute for Foundations of Data Science

Kline Tower renovation

The extensive renovation of this landmark structure will foster new collaborations, encourage wider engagement with quantitative methodologies, and transform the pursuit of data science, statistics, mathematics, and astronomy at Yale.

Kline Tower renovation

Data Science Strategy Symposium

Held in November 2022, this gathering showcased the ways in which recent data science initiatives are already transforming work within and across disciplines at Yale. Attendees also took part in discussions about how to shape the university’s data science strategy and further investments.

Data-Intensive Social Science Center (DISSC)

This new center will serve as a campus hub for social science research that uses advanced computing to analyze large and complex datasets.

DISSC

Center for Biomedical Data Science (CBDS)

This center for research and education enhances research across biomedical data science, from complex machine learning models to simulations of molecular, cellular, and organismic systems.

CBDS

Section of Biomedical Informatics and Data Science (BMIDS)

A discipline at the intersection of biomedicine, computer science, and the information sciences, this section helps support the training of researchers to conduct biomedical informatics research across the academic health system.

BMIDS

Department of Statistics and Data Science

With the transformation of its Department of Statistics, Yale became one of the first institutions of higher learning with a department of this kind, encompassing the study of the entire lifecycle of data—from its specification and generation, gathering, and cleaning, through its management and analysis, to its use in making decisions and setting policy.

Department of Statistics and Data Science

Quantitative Biology Institute

The Institute uses the analytic tools of disciplines such as physics, mathematics, engineering, and computer science to better understand how biological systems compute, and how the structure, organization, and behavior of living systems emerge from such problem-solving, helping gain insight into the logic of life.

Quantitative Biology Institute

Faculty expansion

New faculty, including those with expertise in statistics, blockchain, cryptography, and robotics, build on Yale’s strength in these fields.

Yale Center for GeoSpatial Solutions (YCGS)

A planned cross-campus center will enable cutting-edge geospatial research and teaching.