Bloomberg Data Science Academic Engagement Programs

Bloomberg supports and participates in the academic research community through meaningful engagement with university faculty and Ph.D. candidates. Our grant programs provide funding for academic research, as well as enable faculty and Ph.D. candidates to collaborate with Bloomberg data scientists.

Bloomberg Data Science Ph.D. Fellowship

Bloomberg invites exceptional Ph.D. students working in broadly-construed data science, including natural language processing, machine learning, and artificial intelligence to apply for the Bloomberg Data Science Ph.D. Fellowship for the 2020-2021 academic year. The goal of this fellowship is to provide support and encouragement of groundbreaking publications in both academic journals and conference proceedings.–

Bloomberg Data Science Research Grant Program

Bloomberg invites academic researchers worldwide to apply for unrestricted gifts that support research in data science, typically focusing on natural language processing, information retrieval, machine learning, and data mining. We also invite proposals for creation of, or contributions to, open source software used for data science.