Data Science holds the key to tackling many of society’s greatest challenges by enabling discovery and innovation. Leading-edge scientific and computational approaches can extract hidden knowledge and generate fresh insights from large and complex datasets.
The University of Miami Institute for Data Science and Computing (IDSC) is focused on tapping the extraordinary potential of this new field. We believe in a collaborative approach that brings together talented minds in multiple disciplines and leverages our Institute’s state-of-the-art technology including an AI-ready supercomputer and 5G+ edge computing environment.
Our goal is to enable discovery through data-intensive research in fields ranging from medicine to earth sciences, urban planning, digital humanities, and business. IDSC also strives to enhance Data Science understanding among our students and the public, helping individuals of all ages including underrepresented minorities develop the STEM skills needed for professional success in the 21st century.
As a member of the University of Miami’s Frost Institutes of Science and Engineering, IDSC supports basic and applied research initiatives throughout the University of Miami and with other leading institutions around the world. We are committed to developing strong partnerships with industry, government, and nonprofit institutions in south Florida, while building bridges to the Caribbean, Latin America, and beyond.
We welcome the opportunity to explore how our powerful resources in data science and computing can help you achieve research, training, and business goals.
Nick Tsinoremas, PhD
Founding Director, IDSC
Vice Provost for Research Computing and Data
Professor, Biochemistry and Molecular Biology
Professor, Computer Science
Professor, Health Informatics
IDSC is organized around research programs that focus on key areas of societal need, including:
IDSC’s cross-disciplinary research and Technology Platforms conduct basic and applied research in many fields, including:
IDSC Workforce Development Expertise includes:
- Teaching and training the next generation of data scientists
- Infusing data science literacy into other academic disciplines
- Developing programs for middle- and high-school students
- Educating the public about the value of Data Science and the responsible use of data in their daily lives