Partnership for an Advanced Computing Environment (PACE) serves Georgia Tech faculty and researchers with a sustainable, high-performance computing environment. (11S)

The Georgia Tech Research Institute (GTRI) is the nonprofit, applied research division of Georgia Tech. GTRI's science and engineering expertise is used to turn ideas into workable solutions for our customers. (6-8) 

The Center for Machine Learning  (ML) aims to produce machines that can learn from their experiences and make predictions based on those experiences and other data they have analyzed. ML is an Interdisciplinary Research Center that is both a home for thought leaders and a training ground for the next generation of pioneers. (11S) 

Health Analytics conducts research and mentors students in data science methodologies to improve decision making in health care delivery and public health. The team collaborates with scientists and decision makers from many types of organizations including clinicians, large providers, and public health. (11E, 15E) 

Computational Science and Engineering (CSE) is devoted to studying and advancing computational methods and data analysis techniques to analyze and understand natural and engineered systems. CSE is inherently interdisciplinary, and integrates concepts and principles from computer science, mathematics, science, and engineering to define a new, cohesive body of knowledge that is rapidly changing. (13S,13E) 

The School of Cybersecurity and Privacy (SCP) is Georgia Tech’s new home for the research and education of cybersecurity and privacy. SCP is dedicated to making cyberspace safer and more secure. Nationally-ranked, innovative, interdisciplinary, and definitive, SCP draws skilled cybersecurity professionals from technology, policy, business, and practical fields to meet a rising national and international demand. Housed within the nationally ranked College of Computing, this new school builds on Georgia Tech’s 20-year investment to further develop the research and education of cybersecurity and privacy.  (9-10)

The Institute for Data Engineering and Science (IDEaS) provides a unified point to connect government, industry and academia to advance foundational research and accelerate the adoption of Big Data Technology.  IDEaS leverages the expertise and resources from colleges, research labs, and external partners to define and pursue challenges in data science and in data-driven discovery. (12S)

The Institute for People and Technology (IPaT) was created to embrace a networked research ecosystem of Georgia Tech faculty and industry partners, and to amplify their combined thought leadership and on-the-ground results to create positive economic and societal impact in the critical systems that define much of everyday life. (14E) 

The Business Analytics Center (BAC) serves as a platform for business analytics efforts, bringing together organizations, analytics thought leaders, talented students and a world-class, inter-disciplinary faculty to educate and exchange best practices for applying analytics to solve business problems. (16E) 

The Master of Science degree program in Quantitative and Computational Finance (QCF) is interdisciplinary program between three of Georgia Tech's most prestigious units: the Scheller College of Business, the H. Milton Stewart School of Industrial & Systems Engineering, and the School of Mathematics. (16E) 

The Master of Science in Analytics  (MSA) is an interdisciplinary analytics and data science program that leverages the strengths in statistics, operations research, computing, and business by combining the world-class expertise of the Scheller College of Business, the College of Computing, and the College of Engineering. (16E)