Master of Science in Data Science
This program enables students to pursue advanced careers in Data Science addressing state and national workforce shortages and supporting the growth of the local knowledge-based economy.
The Master of Science in Data Science (MSDS) enables students to pursue advanced careers in Data Science addressing state and national workforce shortages and supporting the growth of the local knowledge-based economy.
The goal of the Master of Science in Data Science (MSDS) program is to equips students with the knowledge and skills to advance their current careers in or perform a mid-career transition into data science fields, to work independently and collaboratively, and to pursue academic or professional careers in education and research, industry, business, or government.
Graduate of this program will be able to 1) demonstrate a comprehensive understanding of data science, 2) utilize advanced data science knowledge and skills to solve complex computing problems related to data science specialization, 3) identify and analyze user needs, and integrate data science-based solutions into user environment, and 4) possess skills in data science leadership and information management.
The program offers two curricular tracks: a Research (Thesis) Track and an Applied (Project) Track. The research track facilitates students to advance careers in data science research, possibly continuing toward a doctoral degree. The applied project track maximizes the acquisition of advanced practical skills for professional placements in industry, business, or government. Within each track, there are three concentrations from which students may choose: Data Management and Intelligence, Knowledge and Information Systems, and Health Informatics.
To earn the Master of Science in Data Science degree, a student must complete 30 credit hours including Data Science core courses, courses within the chosen concentration, and a project or a thesis plus a research techniques course.
Dr. Shakil Akhtar
Professor/Graduate Coordinator of Computer Science and Information Technology
(678) 466 –4401