Data Science
Data science is an interdisciplinary field that employs methods and theories drawn from statistics, computer science (computer programming, databases, machine learning) and mathematics (calculus, probability, linear algebra) to extract insights from data with special emphasis on big data. Machine learning is a branch of artificial intelligence that deals with the study and development of algorithms and statistical models that allow computers to automatically learn patterns from data without being explicitly programmed. The field of data science encompasses topics such as exploratory data analysis, statistical inference, regression analysis, machine learning, cluster analysis, data wrangling, data mining, and data visualization.
Big data can be found in almost every sector of society, from business and industry, healthcare, education, and government. This necessitates the need to train individuals who can work with and analyze massive amounts of data to help organizations make informed decisions. The Data Science program at Saint Joseph’s University is a joint interdisciplinary program of the Departments of Mathematics, Computer Science and Decision & System Sciences. The program offers a major and a minor in data science, which include electives not just in mathematics, computer science and decision & system sciences but also in other departments such as economics and biology.
The required courses in the Data Science major and minor are taught by faculty from the Departments of Mathematics, Computer Science and Decision & System Sciences. Courses that count for the Data Science electives are taught not just by faculty in the three participating departments but also by faculty in other departments such as Economics and Biology.
Director
Dr. Rommel Regis
Advisory Board
- Dr. Babak Forouraghi
- Dr. Wei Chang
- Dr. Ginny Miori
- Dr. Abolfazl Saghafi
- Dr. Baha Taoufik