Data Science

Our data science major curriculum intentionally provides a foundation and pathway for engaging broad discipline interests in the arts, humanities, social sciences, physical sciences, health sciences, and business.  The idea is that data - in any domain - is at our disposal almost instantaneously.  We need the knowledge and skills to manage, analyze, summarize and interpret the data, and then be able to effectively communicate, both visually and verbally, the results in context within an ethical and respectful frame.

Students majoring in ​data science at St. Catherine University will learn to navigate, model, visualize, summarize, and communicate with data within a vibrantly interdisciplinary, collaborative environment. 
 
​Students will engage in creating​ appropriate models to analyze and interpret data, ​in learning to ask  pertinent questions, ​and in developing ​communication skills and ethics involved in data analytics within contextual variety among the liberal arts spectrum. Data Science majors will also be required to complete a domain minor and secure at least one internship as part of the major.

This major is offered in the College for Women only. 

Required Major Courses
DSCI 1000Telling Stories with Data - Introduction to Data Visualization4
DSCI 2000Seminar for Data Science and Statistics2
DSCI 2100Introduction to Programming: Applied Computing I4
DSCI 3100Database Management4
DSCI 3200WAnalyzing Social Problems with Data4
DSCI 4XXXData Science Internship0,2,4
MATH 1130Calculus I4
MATH 2050Linear Algebra4
STAT 1090Statistical Analysis4
STAT 2080Statistical Modeling4
STAT 3090Statistical Computing4
Total Credits38-42
Required Supporting Courses
CRST/WOSTUpper-division (3XXX or 4XXX) course4
Select one from:4
Speaking to Lead and Influence
Small Group Communication 1
Communication in Organizations 1
Select one from:4
Ethics
Ethics in Communication
Biomedical Ethics
Total Credits12
Additional Required Supporting Courses for the B.S. degree (must be taken for a letter grade)
Select one of the following:8
General Chemistry I with Lab
and General Chemistry II with Lab
Introductory Physics I
and Introductory Physics II
Strongly recommended supporting courses:
ART 2250Art and Technology4
COMM 2090Small Group Communication4
COMM 3090Communication in Organizations4
Total Credits12
Highly recommended supporting courses for graduate studies preparation:
CSCI 1110
CSCI 1120
Algorithms and Computer Programming I
and Algorithms and Computer Programming II
8
MATH 1140Calculus II4
One of the following sequences:8
Foundations of Biology I with Lab
and Foundations of Biology II with Lab
General Chemistry I with Lab
and General Chemistry II with Lab
Introductory Physics I
and Introductory Physics II
Total Credits20