Academic Catalog

Data Science - BS

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.  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, learn to ask pertinent questions, study ethical considerations, ​and develop ​communication skills involved in data science and data analytics within contextual variety among the liberal arts spectrum. 
 
Data Science majors are required to complete a domain minor or a double major and secure at least one internship as part of the major. They must also choose an interdisciplinary emphasis track based on their personal or professional interests or goals. 

This major is offered in the College for Women only. 

Required Prerequisite Courses
CSCI 1110Introduction to Computer Science4
MATH 1130Calculus I4
STAT 1090Statistical Analysis4
Required Major Courses
DSCI 1000Telling Stories with Data - Introduction to Data Visualization4
DSCI 2100Introduction to Programming: Applied Computing I4
DSCI 3000WAI Data Ethics, Governance & Social Impact4
DSCI 3100Database Management4
DSCI 3200WAnalyzing Social Issues with Data4
DSCI 3300Introduction to Machine Learning for Data Science4
DSCI 4100Introduction to Cloud Computing4
DSCI 4200Introduction to Large Language Models: A Machine Learning Approach4
DSCI 4952Independent Study2-4
or DSCI 4604 Internship
Interdisciplinary Track Electives 116
Required Supporting Courses
CSCI 1120Algorithms and Java Programming4
MATH 1140Calculus II4
STAT 2090Statistical Modeling4
STAT 3090Predictive Analysis4
Additional DSCI Elective4
Total Credits82-84
1

Suggested interdisciplinary tracks include Business Administration, Economics, Sociology, Psychology, and Arts and Humanities. Students are encouraged to consult with their academic advisor to explore different pathways that best suit their individual goals.

Data science majors satisfy the Writing Requirement for Majors by completing DSCI 3000W AI Data Ethics, Governance & Social Impact and DSCI 3200W Analyzing Social Issues with Data. They complete the liberal arts core Writing Requirement with two other writing-intensive courses (CORE 1000W The Reflective Woman and CORE 3990W Global Search for Justice). 

 
Freshman
FallCreditsSpringCredits
DSCI 10004CSCI 11104
MATH 11304STAT 10904
Core Courses, as needed MATH 11404
 Core Courses, as needed 
 8 12
Sophomore
FallCreditsSpringCredits
DSCI 3000W4DSCI 21004
CSCI 11204DSCI 33004
Core Courses, as needed Core Courses, as needed 
 8 8
Junior
FallCreditsSpringCredits
DSCI 31004STAT 30904
STAT 20904DSCI 42004
Interdisciplinary Elective4DSCI 3200W4
 Interdisciplinary Elective4
 12 16
Senior
FallCreditsSpringCredits
DSCI 41004DSCI 4604 or 49522-4
Data Science Elective4Interdisciplinary Elective4
Interdisciplinary Elective4 
 12 6-8
Total Credits: 82-84