Data Science & Strategic Analytics, MS Program Handbook
Subpages
Program Introduction
History of Stockton University
Founded in 1969, Stockton University welcomed its first students in 1971 and soon established its permanent campus in Galloway Township. Named for Richard Stockton, a signer of the Declaration of Independence, the University has grown into a comprehensive institution with campuses in Galloway and Atlantic City. Today, Stockton is recognized for academic excellence, community engagement, and its commitment to environmental stewardship.
School of Natural Sciences and Mathematics (NAMS)
The School of Natural Sciences and Mathematics (NAMS) at Stockton University provides a rigorous and innovative education in the sciences, mathematics, and related disciplines. With a strong emphasis on experiential learning, NAMS offers students opportunities to engage in hands-on laboratory work, field studies, research projects, and internships that prepare them for graduate study and professional careers. The School is also distinguished by its commitment to sustainability, environmental stewardship, and the integration of science with real-world problem solving.
The leadership of the School of Natural Sciences and Mathematics (NAMS) at Stockton University consists of the Dean of the School of Natural Sciences and Mathematics and an Assistant Dean of the School of Natural Sciences and Mathematics who report to the Provost of Stockton University.
M.S. in Data Science & Strategic Analytics
The Master of Science in Data Science & Strategic Analytics at Stockton University is a stand-alone, interdisciplinary graduate program designed to equip students with advanced skills in computational tools, data analysis, visualization, and predictive modeling across diverse domains such as science, business, healthcare, and the humanities. Through a curriculum combining rigorous coursework with industry-aligned real-world projects and internships, students gain practical experience and valuable networking opportunities. Admission requires a bachelor’s degree from a regionally accredited institution, a minimum undergraduate GPA of 3.0 (with 3.2 in quantitative courses), and submission of an application essay describing computing experience, transcripts, recommendations, and a resume.
The program is administered by a pair of tenured Stockton University Faculty Co-chairs who answer directly to the Dean of the School of Natural Sciences and Mathematics and the Provost. Courses are taught by Stockton University tenured professors as well as part-time adjunct professors chosen from industry and government.
