Temple University’s Data Science Institute offers interdisciplinary data science undergraduate and graduate programs and coursework. Learn more about our academic programs using the links in the sections below.
Ideally suited for the business professional who wishes to develop advanced mastery of one business specialization. The Business Analytics program helps students develop practical expertise through case analyses and presentations, interaction with business practitioners, and team projects.
The M.S. in Computational Data Science is designed for students interested in developing expertise in data science with a specialization in computational analytics. The goal is to enable students to analyze large quantities of data to discover new knowledge and facilitate decision making.
The undergraduate program in Statistical Science and Data Analytics provides graduates with a rigorous and broad-based curriculum. This curriculum has a rigorous quantitative foundation and alignment and coordination with the established quantitative disciplines both at the Fox School and Temple University. The Statistical Science and Data Analytics offers exposure to programming and modern languages such as C, SAS, etc., including preparation for future SAS certification exams, after obtaining the Basics SAS certificate during the program and effective communication skills.
The MIS department at the Fox School of Business offers specific courses in Data Science, which include Data-Centric Application Development, Data Analytics, Data Science, Applied Predictive Analytics, Digital Solutions Studio, Strategic Management of Information Technology, Lead Global Digital Projects, and Social Media Innovation.
The goal of the graduate program in Sport Business is to prepare future leaders in the areas of policymaking, management, supervision, education, and research. The program provides for the analysis of current trends, problems, and policies that affect sport and leisure services.
Data Science Centers
The Data Science Institute tackles the challenges and opportunities posed by our data-rich society. Our eight research centers serve as an engine of translational research and education in the data sciences.