Through the School of Data Science (SDS), UNC Charlotte and our corporate partners have fully actualized the critical role of big data and digital science as a determining factor of competitive success. We are proud to be one of the first organizations to develop a comprehensive program that provides a talent pipeline and serves as an expert resource for continuing education and external research. UNC Charlotte offers the researchers and infrastructure for digital science innovation.
At its core, the mission of the School of Data Science is to develop and generate talent to meet market demand for professionals with domain expertise, a passion for data, deep analytical talents, and strong communication skills.
UNC Charlotte's graduate programs draw students from diverse backgrounds in health, retail, financial, supply chain, and energy. The curriculum stresses applied research and problem solving, often with industry experts and practitioners leading the classes.
UNC Charlotte offers graduate programs in Health Informatics and Analytics (HI&A) and in Data Science and Business Analytics (DSBA). They are interdisciplinary degree programs drawing faculty talent from the Colleges of Business, Computing and Informatics, Health and Human Services, and the College of Liberal Arts and Sciences.
Throughout their studies, students work in multidisciplinary teams that foster communication and leadership skills while also honing their technical and analytical expertise. The capstone for the master’s students is a required industry internship/practicum. During that practicum, students are immersed in the organizational culture and mentored by subject matter experts in the field. The intended product is a graduate with translational skills, experienced with data and analysis in multiple domains.
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An internship is an opportunity for students to apply theories, ideas, principles, and skills learned in the classroom to a capstone project of problem-solving in practice. The practicum environment provides students an opportunity to demonstrate their ability as Data Science professionals and contributing team members. For employers, this is an opportunity to evaluate potential job candidates in the real-world work environment, before offering permanent employment.