Current Institution Members
Our 2022-2023 Member Book is HERE! Click to read more about our current Institution Members.
We'd like to extend a special Thank You to our current Members! Learn a bit more about who they are below. We are also very grateful to our Founding Institutions for their support in our first year of membership.
Interested in membership for your institution? Learn more and how to join HERE
Institution Members
The American Statistical Association is the world’s largest community of statisticians and data scientists. It is the second-oldest, continuously operating professional association in the country. Since it was founded in Boston in 1839, the ASA has supported excellence in the development, application, and dissemination of statistical science through meetings, publications, membership services, education, accreditation, and advocacy.
Chartered as a liberal arts college in 1962, American University of Paris is today an urban, independent, international university. Data science at AUP spans topics such as machine learning, artificial intelligence, algorithms, statistics and geographical information systems. Teaching and research cover a wide variety of application fields such as law, astrophysics, and literature.
Founded in 2019, the Boston University Faculty of Computing & Data Sciences is a transdisciplinary, degree-granting academic unit that augments existing programs who remain under the traditional university organizational structure. We are propelling data sciences into the future and are actively recruiting faculty, admitting students, and moving to a new state-of-the-art building.
Learn more about the Carnegie Mellon University Department of Statistics and Data Science
The Columbia University Data Science Institute advances the state-of-the-art in data science; transforms all fields, professions, and sectors through the application of data science; and ensures the responsible use of data to benefit society. We train data scientists, develop innovative technology, foster collaborations, and work with industry to bring promising ideas to market.
The interdisciplinary Data Science and Engineering Program at Florida A&M University has program coordinators in Computer and Information Science, Mathematics, and Biology, and an MS and BS in Data Science are planned for Fall 2023. Current research is in Cancer, Neuro-degenerative diseases, and viral diseases.
The Institute for Data Engineering and Science at Georgia Institute of Technology supports research in data science foundations and data-driven discovery. Foundational areas of focus include machine learning, artificial intelligence, high-performance computing, algorithms, statistics, and optimization. The institute supports data-driven research in many areas including astrophysics, chemistry, biology, medicine, materials science, energy, and smart cities.
The Center of Applied Data Science and Analytics (CADSA) at Howard University coordinates and facilitates interdisciplinary programs in data science, collaborates with other institutes and centers internal and external to Howard University, and expands research and educational linkages that will include internship and placement programs with sponsoring corporations and government agencies.
The International Computer Science Institute (ICSI) is an independent non-profit research institute and an affiliate of UC Berkeley. With a focus on scientific excellence and social impact, our work transcends disciplinary boundaries and brings academia, government, industry, and non-profit organizations together to inspire breakthroughs.
The data science program at James Madison University is in its infancy but the intended goal is to focus on networks and climate science. To this end, JMU has data science or data analytics incorporated in various forms in many departments. Starting in Fall 2023 the Mathematics & Statistics department has been tasked with building degree and other credentialed programs in data science at JMU.
Middle Tennessee State University offers Data Science degrees at all levels (BS, MS, and PhD) that emphasize the interdisciplinary nature of Data Science. MTSU also contains the Data Science Institute, which is an applied research focused entity that strives to help its partners solve complex problems.
Established in May of 2022, the Data Science Program at Mississippi State University prepares students to meet the growing demand for data science experts in the context of ongoing digital transformation. The program supports and expands data science within the university under the governance of an intercollege faculty committee.
Headed by Distinguished Professor David Bader, the Institute for Data Science at the New Jersey Institute of Technology focuses on cutting-edge interdisciplinary research and development in all areas pertinent to digital data. Beyond academic research, the institute interacts closely with the outside world to identify and solve important problems in the modern data-driven economy.
The Center for Data Science is the focal point for New York University’s university-wide efforts in Data Science. CDS was established to advance NYU’s goal of creating a world-leading Data Science training and research facility, and arming researchers and professionals with the tools to harness the power of Big Data.
The Translational Data Analytics Institute at The Ohio State University is a community of researchers at the forefront of interdisciplinary, data-enabled science, scholarship and creative expression with an emphasis on significant societal impact. Its 200+ core faculty and affiliates collaborate across 50+ disciplines to innovate data science and analytics solution for the greater good.
The Texas A&M Institute of Data Science pursues new approaches to Data Science research, education, operations and partnership. These approaches cross college boundaries to connect elements of Data Science from engineering, technology, science and the humanities, and inform wider social challenges.
The Data Intensive Studies Center at Tufts University is a cross-disciplinary center focused on the integration, acquisition and application of data-intensive research, scholarship and education.
The University of Amsterdam Data Science Centre's mission is to enhance the university’s research by developing, sharing and applying data science methods and technologies. As a coordinating hub within the UvA Library, the centre is uniquely positioned to facilitate knowledge exchange as well as training in data-driven research.
The University of Arizona is a globally recognized research leader. Collaboratively enabling expertise and specialists with students, the Data Science Institute coordinates Data Science throughout campus. Data Sciences Academy provides academic programming. The Institute for the Future of Data and Computing expands the base of experiential learning.
The Berkeley Institute for Data Science (BIDS) at the University of California, Berkeley, is a central hub of data-intensive research, open source research software, and data science training programs at the University of California, Berkeley. BIDS facilitates interdisciplinary collaborations across an increasingly diverse data science community of domain and methodological experts from across campus and beyond.
As the only computational-focused school in the UC System, the UC Irvine Donald Bren School of Information and Computer Sciences has a unique perspective on the information technology disciplines that allows us a broad foundation from which to build educational programs and research initiatives.
Founded in 2018 as a fully independent academic unit, the mission of the Halıcıoğlu Data Science Institute (HDSI) at the University of California, San Diego is to establish the scientific foundations of data science, develop new methods and infrastructure, and train students and partners to use data science to solve the world’s most pressing problems.
The Center for Translational Data Science at the University of Chicago is developing the discipline of translational data science and applying it to tackle challenging problems in biology, medicine, healthcare and the environment.
The University of Delaware Data Science Institute aims to accelerate research in data science, serving as a nucleating effort to catalyze interdisciplinary research collaborations across fields impacting our society.
The National Center for Supercomputing Applications (NCSA) at the University of Illinois Urbana-Champaign is a campus-wide interdisciplinary center. Since 1986, we’ve been at the epicenter of supercomputing research, pioneering innovations in computing and data. Our advanced cyberinfrastructure and expertise provide a hub for transdisciplinary research for both academia and industry.
UMBC is a dynamic, R1, public research university integrating teaching, research and service to benefit the citizens of Maryland and the world. Our UMBC community redefines excellence in higher education through an inclusive culture that connects innovative teaching and learning, research across disciplines, and civic engagement.
The University of Massachusetts, Amherst Center for Data Science fosters research, education, industry collaboration, and public service to make UMass Amherst a destination and partner-of-choice for research in data science. We help companies and organizations meet their growing demand for well-trained data scientists, promote economic development, and support working data scientists in Western Massachusetts.
The Michigan Institute for Data Science strengthens University of Michigan’s research capacity in Data Science and Artificial Intelligence, and enables their transformative use for scientific discovery and lasting societal impact. Its faculty community includes 420 methodologists and domain scientists from all schools and colleges at the Ann Arbor campus, and Dearborn and Flint campuses.
RENCI is a highly collaborative research institute at UNC-Chapel Hill that develops and deploys advanced technologies to enable innovative research and discovery in high performance computing (HPC), informatics, data mining, data linking, and secure computing.
The School of Data Science at UNC Charlotte commits to excellence in education, research, community engagement, and inclusion to shape and lead the future of data science education. We teach students to be responsible and ethical data science practitioners, leaders, and researchers in an increasingly data-driven and global society.
Data Institute for Societal Challenges at the University of Oklahoma is creating innovations in data science, artificial intelligence (AI), machine learning (ML), and data-enabled research. DISC develops and grows convergent research teams dedicated to solving local to global-scale challenges.
Established in 2015, the Goergen Institute for Data Science (GIDS) serves as University of Rochester’s integrative data science hub. The Institute offers a variety of data science degree programs, supports interdisciplinary data science research, and fosters industry-academia data science collaborations.
The Department of Mathematical Sciences at the University of Texas at El Paso (UTEP) houses data science degrees at the bachelors, masters, and doctoral levels. The programs emphasize moving from theory to practice in data science for working in interdisciplinary settings involving data-intensive analysis.
The University of Toronto Data Sciences Institute (DSI) is a hub and incubator for data science research, training, and partnerships. Our mission is to accelerate the impact of data sciences across disciplines to address pressing societal questions. We facilitate collaboration and the development and application of new methodologies and tools.
The One Utah Data Science Hub at the University of Utah is a university-wide effort designed to enhance research and infrastructure in data and data-enabled science. Led by Faculty Directors from across the university, the Hub facilitates interdisciplinary research focused on data science through two initiatives and in alignment with the Center for Data Science.
The University of Virginia School of Data Science — the first of its kind in the nation — is guided by common goals: to further discovery, share knowledge, and make a positive impact on society through collaborative, open, and responsible data science research and education.
The University of Washington eScience Institute was founded in 2008 with the mission to empower researchers and students in all fields to answer fundamental questions through the use of large, complex, and noisy data. From inception, the eScience Institute has functioned beyond departmental and college walls to exemplify the interdisciplinary breadth and complex dimensions of data science. Today, the Institute has grown to a mature organization with sustained positive impact through our education, research, and community building programs.
Data is reshaping our world, and data science @ uw strives to bring the power of fundamental and applied data science to all fields of study at UW-Madison and beyond. We are committed to fostering an inclusive culture in data science that fuels creativity and discovery.
Data science at the University of Wisconsin Milwaukee is built on an inclusive vision. We believe you can apply this work and these skills to all facets of life, be it art, business, health, weather or countless other areas. That’s why our data science programs build an appreciation of these broad applications rather than concentrating solely on methods and techniques. The same vision guides how we approach research in data science.
The Vanderbilt Data Science Institute accelerates data-driven research, promotes collaboration, and trains future leaders. The institute brings together experts in data science with leaders in all academic fields to spark new discoveries. The institute educates students in data science to become leaders in industry, government, academia and the nonprofit sector.
Data science at the Virginia Commonwealth University is decentralized across five schools and departments, with academic and research foci aligned with the host department disciplines. VCU is an urban public research institution dedicated to the success and well-being of our students, patients, faculty, staff and community.
The Data Science and Programming Support Services program at Wake Technical Community College prepares learners to design and develop desktop/web applications with an emphasis on business logic and data‐driven applications.
The Data Science program at William & Mary comprises academic offerings at the undergraduate and graduate levels and a growing research portfolio. Through these activities, we prepare students for careers that explore patterns in large data sets and identify potential trends and insights, and advance the state of science in this pursuit.
Founded in 1892, Winston-Salem State University, home of the Center for Applied Sciences, is a public Historically Black College and University (HBCU) and an University of North Carolina (UNC) institution, where 76% of the student population are African Americans or Hispanic/Latino, 73% are female, and 23% are first generation college students.
Research Lab and Small Research Institute Members
The mission of Brown's Data Science Initiative is to stimulate innovation and support people aspiring to improve lives in our data-driven world. We work with partners in all disciplines to promote data science research and education.
The Data Science Collaboratory at Colgate University is a data analysis and collaboration network focused exclusively on smaller colleges and universities in New York State.
The Harvard Data Science Initiative (HDSI) unites leading computer scientists, statisticians, and domain experts from law, business, public policy, education, medicine, public health, and myriad academic disciplines to derive meaningful and actionable insights that shape the new science of data. Its research drives data-driven policy and analyzes implications of big data for human society.
The Institute for Data, Intelligent Systems, and Computation at Lehigh University builds upon the foundation of Lehigh research expertise in areas such as machine learning, optimization, probabilistic modeling, data-driven decision making, high-performance & data-intensive computing, statistical signal and image processing, data representation & management, modeling & simulation, robotics & computer vision, business & management technology, and privacy & security.
The Bren School of Environmental Science & Management Master of Environmental Data Science (MEDS) is a professional degree program at UC Santa Barbara. The 11-month program trains environmental professionalsin data science skills.
The Data Science program at Washington State University provides training in concentrated domain knowledge, advanced statistical, data, and computer science skills. This combination enables WSU graduate to effectively work in teams and easily communicate with colleagues and managers to solve problems.