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Data Science

COLLEGE OF SCIENCE & HEALTH

Data science is a more targeted version of the computer science major, involving more math, statistics and, most importantly, analysis.

Our data science program provides students with the ideal mixture of mathematical and computational sciences. It is administered jointly by the mathematics and computer science departments, offering students a well-rounded experience. Benedictine is one of very few local schools offer an undergraduate major in either data science or data analytics.

Students in the Data Science program will have the opportunities to:

Learn how to search, collect and analyze data sets of all types, big and small.
Analyze data through mathematical and statistical techniques and present a well-defended conclusion about the data.
Train in database management, object-oriented programming and potentially machine learning, data mining and big data.

View Course Information

BS Requirements - Lisle

What Our Graduates Have Done With This Degree

Data Science Alumni

Our alumni have gone on to successful careers at companies like Google, HS2 Solutions, Boeing, Argonne National Laboratory, Northrop Grumman, Cisco, Navistar, UPS, Motorola, and more.

Dedicated Facilities

The Department of Mathematics and Computational Sciences is housed in the Birck Hall of Science, which includes advanced laboratories, computer classrooms and faculty offices. These systems are used exclusively for student instruction and faculty research.

Trade lab, classroom, students, professor, analytics, business, COB
Male student in Goodwin Trading Lab

Participation in ACCA

Benedictine University participates in the science education programs of the Associated Colleges of the Chicago Area. The annual student symposium in April provides a forum to present results of research or an interesting data science problem to students and faculty from member colleges.

Capstone Experience

At the end of the curriculum, the students will engage in a capstone experience where they will come face-to-face with a big data set to analyze and find viable solutions as well as present the results in written and oral form.

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