The B.S. in Data Science degree requires a total of a minimum of 120 semester credit hours. Courses required for this degree are outlined below:
University Core Curriculum – 42 hours
General education classes in various academic areas.
See University Core Curriculum Requirements in the Academics section of this catalog for University Core Curriculum requirements.
BS-DS Major Requirements
Pre-Data Science Requirements, 15 hours
Students must complete the following four (4) courses before registering for major courses.
- MATH 1650 - Pre-Calculus (5)
- MATH 1680 - Elementary Probability and Statistics (3)
- CSCE 1030 - Computer Science I (4)
- CSCE 1040 - Computer Science II (3)
Major requirements, 24 hours
Students must complete the following eight (8) courses:
- INFO 3010 - Introduction to Data Science
- INFO 3020 - Introduction to Computation with Python
- INFO 4050 - Statistical Methods for Data Science and Analysis
- INFO 4501 - Principles of Data Science and Analytics
- INFO 4670 - Data Analysis and Knowledge Discovery
- INFO 4707 - Data Modeling and Data Warehousing
- INFO 4730 - Digital Curation and Preservation
- INFO 4907 - Data Visualization
Professional field, 24 hours
Students will complete 8 courses from the information science OR business analytics professional field.
Information Science professional field:
- INFO 4080 - Research Methods and Evaluation
- INFO 4203 - Information Indexing and Organization
- INFO 4206 - Information Retrieval Systems
- INFO 4230 - Records Management Operations
- INFO 4306 - Project Management for Information Systems
- INFO 4307 - Knowledge Management Tools and Technologies
- INFO 4365 - Health Sciences Information Management
- INFO 4745 - Information Architecture
Business Analytics professional field:
- BCIS 3610 - Basic Information Systems
- DSCI 2710 - Data Analysis with Spreadsheets
- DSCI 3710 - Business Statistics with Spreadsheets
- DSCI 3870 - Management Science
- DSCI 4330 - Enterprise Applications of Business Intelligence/Analytics
- DSCI 4510 - Modeling for Business Intelligence
- DSCI 4520 - Introduction to Data Mining
- DSCI 4700 - Analytics for Decision Making
Electives, 15 hours
Students may choose five (5) courses from the list below, or courses in a related field such as computer science, statistics, business analytics, digital communications analytics, health data analytics, and education analytics.
- INFO 4970 - Information Science Seminar *
- BCIS 3615 - Visual Display of Business Information
- BCIS 3630 - Object-Oriented Programming for Business
- BCIS 3680 - Enterprise-Oriented Programming
- BCIS 4610 - Analysis of Business Information Systems
- BCIS 4620 - Introduction to Database Applications
- BCIS 4630 - Fundamentals of Information Technology Security
- BCIS 4660 - Introduction to Data Warehousing
- BCIS 4690 - Information Technology Management
- BCIS 4720 - Web-Based Information Technologies
* Required course for those students who wish to complete an internship or CPT
A grade of "C" or higher is required in all Pre-Data Science, Major Courses, Professional Field, and Supporting Field courses.
A 2.0 UNT, 2.0 Overall, and 2.7 Professional/Supporting Field GPA is required for graduation.