The research and teaching resources at HBS are unmatched by any other school. Students can make use of virtually any methodology required to pursue their research interests, including field studies, large-scale statistical databases, consumer-panel research, behavioral experiments, and theoretical and empirical models. Support services include methodological and statistical consultation, data procurement and analysis, programming, research software support, subject pool administration, travel, and region-based field support.

Baker Library

The collections of Baker Library—one of the world’s largest and most respected business libraries—are available at the center of the campus. Baker Research Services are available for data gathering and in-depth research.

Harvard University Libraries

HBS Doctoral students have access to the more than 90 libraries that form the Harvard University libraries system.

Research Computing Services

Research Computing Services, located in the Baker Library | Bloomberg Center, provides expertise and guidance in all phases of faculty and doctoral student research projects, including planning, data collection, analysis, and reporting. A staff of statisticians, research analysts, and applications and systems programmers can assist doctoral students with their needs, and we strongly encourage students to meet with RCS early in the planning phase. RCS also licenses and purchases a large number of software packages that are typically used at business schools, and can provide assistance with purchasing if they do not.

While conducting their research, students have access to a local compute cluster with almost 300 CPUs, interconnected with over 150 TB of storage for research projects. Integrated with this compute environment is a MariaDB relational database server, designed to provide sophisticated data management and analysis capabilities for both small and large projects alike. If these resources do not suffice, researchers have access to the Odyssey compute cluster or the Research Computing Environment (RCE), both at the Faculty of Arts & Sciences. Although the RCE is geared predominantly towards social science researchers and provides a friendly GUI environment, Odyssey's 75,000+ compute cores and > 35 PB of storage will provide enough computing power even for the largest datasets or compute problems. Please see our grid environment website for more details.

Finally, in partnership with other groups around the university, RCS provides training classes on statistical analysis and programming environments, data management, and classes to assist with fully utilizing the advanced computing resources on- and off-campus. Please see our training website for more information, including a roster of available classes.