MS Data Analytics at Benedictine University

Advance your data analytics expertise with the Master of Science in Data Analytics at Benedictine University. This program equips students from all backgrounds with the technical and analytical skills needed to process large data sets, build predictive models, and drive smart business decisions. Graduates are prepared for careers such as data scientist, data analyst, or business intelligence analyst, developing strong programming, statistical, and machine learning skills, and the ability to effectively communicate data insights.

Introductory Courses (3 semester credit hours)
(May be waived if equivalent undergraduate coursework has been completed.)
DASC 5100	Programming Fundamentals	3
Core Courses (21 semester credit hours)
DASC 5150	Ethics for Data Analytics	3
DASC 5200	Mathematics for Data Science	3
DASC 5300	Advanced Programming	3
DASC 5320	Data Analysis & Visualization	3
DASC 5383	Machine Learning	3
DASC 5400	Data Simulation, Bayesian Modeling, and Inference	0
DASC 6398	Capstone Project	3
Elective Courses (9 semester credit hours-choose from the following courses)
BALT 6102	Business Analytics I: Predictive Analytics
BALT 6103	Business Analytics II: Prescriptive Analytics
BALT 6201	Databases and Data Warehousing
MNGT 6501	Operations Management
MNGT 6701	Business Intelligence

Reminder

The term “Day 1 CPT universities” generally refers to institutions that allow eligible international students to apply for Curricular Practical Training (CPT) beginning in their first semester of study, provided that the program includes an integrated practical component. While some schools may support early CPT access, approval is not guaranteed on the first day and depends on the timely and accurate submission of required documentation. CPT authorization typically takes 5 to 15 business days after the complete application is submitted and reviewed.

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MS Data Analytics

@ Benedictine University

Benedictine University