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Abstract The digitalization of higher education has introduced a wealth of data, presenting significant opportunities for utilizing Big Data and data science analytics to streamline processes and improve institutional efficiency. This paper delves into the practical applications of Big Data and data science analytics across various domains of higher education, including student enrolments management, academic advising, learning analytics, and institutional effectiveness. Through the implementation of predictive analytics, personalized interventions, and data-informed decision-making, institutions can optimize resource allocation, enhance student outcomes, and foster a culture of continuous improvement. The paper explores the benefits, challenges, and future prospects associated with integrating Big Data and data science analytics, emphasizing their transformative potential in shaping teaching methodologies, learning experiences, and institutional practices. By fostering collaboration and embracing innovation, higher education institutions can fully leverage the power of Big Data and data science analytics to drive student success and achieve institutional objectives.
Syed et al. (Wed,) studied this question.