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A Machine Learning framework for predicting enrollment is proposed. The framework consists of Amazon Web Services SageMaker together with standard Python tools for data analytics, including Pandas, NumPy, MatPlotLib, and Scikit-Learn. The tools are deployed with Jupyter Notebooks running on AWS SageMaker. Based on three years of enrollment history, a model is built to compute—individually or in batch mode—probabilities of enrollments for given applicants. These probabilities can then be used during the admissions period to target undecided students. The audience for this paper is both SEM practitioners and technical practitioners in the area of data analytics. Through reading this paper, enrollment management professionals will be able to understand what goes into the preparation of a Machine Learning model to help with predicting admission rates. Technical experts, on the other hand, will gain a blueprint for what is required from them.

dang-h--mdHung D. Dang is the Associate Vice President for Enrollment Management at California State University Channel Islands, where he oversees admissions and recruitment, financial aid and scholarships, registration and records, and student data systems. Over the past three decades, he has held similar leadership roles at the University of Hawaii, Manoa; University of Washington, Bothell; and University of Washington, Tacoma. Mr. Dang holds a M.A. in organizational leadership from Gonzaga University and a B.A. in political science from University of Washington.

reilly-g-r--mdGinger Reyes Reilly, Ed.D., is the Assistant Vice President for Enrollment Management at California State University Channel Islands. She currently oversees the areas of admissions, recruitment, and the
registrar’s office. Dr. Reyes Reilly has more than 20 years of higher education experience ranging from various student and academic affairs areas. She holds a Ed.D. in organizational leadership from Pepperdine University, a masters in public
administration from California State University Northridge, and a B.S. in biology from California State University San Marcos.

soltys-k--mdKatharine Soltys is a professional communications manager with expertise in enrollment. She is the former assistant director of enrollment communications for California State University,
Channel Islands, and previously was director of alumni communication and partnerships at the University of Toronto. Ms. Soltys holds a master’s in communication management (MCM) from McMaster/Syracuse University in 2013. Publications include
building an online community, the role of social media in strategic community building, and perceptions of foundational knowledge by computer science students, and managing student expectations of university programs.

soltys-m--mdMichael Soltys, Ph.D., joined California State University Channel Islands (CSUCI) in 2014 as Professor and Chair of Computer Science, Information Technology and Mechatronics Engineering. His
vision is to build a world-class department where cutting edge research is put at the service of students and community. His Ph.D. is from the University of Toronto, and he was chair of Computer Science at McMaster University (2001–2014), an Ulam
professor at the University of Colorado Boulder (2007–2008), a visiting scholar at UC San Diego (2013), and author of two books and more than 60 research papers. He specializes in algorithms, cybersecurity, and cloud computing.

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