The Big Data movement and the renewed focus on data analytics are transforming everything from healthcare delivery systems to the way cities deliver services to residents. Now is the time to examine how this Big Data could help build smarter universities. While much of the cutting-edge research that is being done with Big Data is happening at colleges and universities, higher education has yet to turn the digital mirror on itself to advance the academic enterprise. Institutions can use the huge amounts of data being generated to improve the student learning experience, enhance research initiatives, support effective community outreach, and develop campus infrastructure. This volume focuses on three primary themes related to creating a smarter university: refining the operations and management of higher education institutions, cultivating the education pipeline, and educating the next generation of data scientists. Through an analysis of these issues, the contributors address how universities can foster innovation and ingenuity in the academy. They also provide scholarly and practical insights in order to frame these topics for an international discussion. This book is comprised of three parts. Part I, Overview, contains the following chapters: (1) Fostering Smarter Colleges and Universities: Data, Big Data, and Analytics (Jason E. Lane and B. Alex Finsel); (2) Legal Issues Associated with Big Data in Higher Education: Ethical Considerations and Cautionary Tales (Jeffrey C. Sun); and (3) Education and… Big Data versus Big-But-Buried Data (Elizabeth L. Bringsjord and Selmer Bringsjord). Part II, Access, Completion, Success, contains the following chapters: (4) Big Data's Impact on College Admission Practices and Recruitment Strategies (Jay W. Goff and Christopher M. Shaffer); (5) Who Is the Big Data Student? (Fred Fonseca and Michael Marcinkowski); (6) Nudge Nation: A New Way to Use Data to Prod Students into and through College (Ben Wildavsky); and (7) Unanticipated Data-Driven Innovation in Higher Education Systems: From Student Success to Course Equivalencies (Taya L. Owens and Daniel J. Knox). Part III, Policy Development and Institutional Decision Making, contains the following chapters: (8) Integrating Data Analytics in Higher Education Organizations: Improving Organizational and Student Success (Lisa Helmin Foss); (9) The Opportunities, Challenges, and Strategies Associated with the Use of Operations-Oriented (Big) Data to Support Decision Making within Universities (John Cheslock, Rodney P. Hughes, and Mark Umbricht); (10) Measuring the Internationalization of Higher Education: Data, Big Data, and Analytics (Jason E. Lane and Rajika Bhandari); and (11) Big Data and Human Capital Development and Mobility (Brian T. Prescott). An index is included. [Foreword by Nancy L. Zimpher.]