Academic Catalog and Handbooks

2023-2024 Edition

Data Analytics (DATA)

DATA 162  Data Analysis and Visualization  (2 Credits)  
Grounded in the liberal arts, students will learn how data can be used to understand the world through multiple disciplinary lenses (e.g., business, economics, history, music, political science, et cetera). Students will learn introductory data organization and visualization skills. Students will pose interesting questions about real-world data, learn the computational tools needed to organize and visualize data related to the question, draw meaningful conclusions from such analyses, and communicate their findings. One college-level statistics course recommended
Prerequisites: None  
DATA 271  INDEPT STUDY  (1-4 Credits)  
Prerequisites: None  
DATA 272  Intermediate Data Analysis and Visualization  (2 Credits)  
This course provides students an opportunity to gain greater proficiency in computer programming, data management, and visualization. The emphasis will be on leveraging the skills acquired in earlier courses and providing students with the opportunity to more fully develop their abilities to organize, visualize, and analyze real-world data as well as communicate findings.
Prerequisites: (CSCI 150 or CSCI 150Z) and DATA 162 and (MATH 124 or MATH 345 or MATH 124Z or PSYC 221 or HONR 260A)  
DATA 314  Data Analytics Project  (2 Credits)  
This course will provide an integrative experience where students use computing, statistics, and disciplinary skills to explore a particular data-related project. The final project should demonstrate satisfaction of the learning goals of the minor. Students complete a standalone activity distinct from their major under the supervision of a faculty member outside of their major.
DATA 331  Topics in Data Analytics  (2-4 Credits)  
Content varies from semester to semester. Course would apply existing technological knowledge to the study of humanities, social sciences, fine arts, or other disciplinary areas or could be focused on the development of new technological skills and applications. May be repeated for credit when topics vary. Additional prerequisites possible depending on the topic.
Prerequisites: DATA 162  
DATA 371  INDEPT STUDY  (1-4 Credits)  
Prerequisites: None