DATA SCIENCE

Over the last several decades there has been an explosion of data in nearly every field imaginable including business, marketing, sports, as well as scientific fields such as medicine, genetics, and neuroscience. As a result of this deluge of data, the demand for individuals with the skills to manage, analyze, and communicate results based on large amounts of data is as high as it has ever been.

Data science is a multi-disciplinary field combining techniques from mathematics, computer science, and statistics to organize, analyze, visualize, and extract useful information from data.

At the graduate level, students can pursue a Master's Degree (M.S.) in Data Science with an option between thesis track and non-thesis track. In addition, undergraduate students have the option to pursue a Bachelor's and Master's degree in five total years through the 4+1 program. 

FURTHER INFORMATION

If you have questions about the graduate programs in Data Science at Loyola University Chicago, please contact Dr. Yasin Silva, Graduate Program Director for Data Science, and Dr. Swarnali Banerjee, Director of the Data Science Program.

GRADUATE PROGRAMS

Graduate & Professional Standards and Regulations

Students in graduate and professional programs can find their Academic Policies in Graduate and Professional Academic Standards and Regulations under their school. Any additional University Policies supersede school policies.

DATA SCIENCE GRADUATE HANDBOOK

Access the latest version of the Data Science Graduate Handbook. This document contains the academic policies for the Data Science MS and BS/MS programs, a description of the general duties of graduate assistants in these programs, and multiple resources available for data science students.