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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:

  • DTSC 3010 - Introduction to Data Science
  • DTSC 3020 - Introduction to Computation with Python
  • DTSC 4050 - Statistical Methods for Data Science and Analysis
  • DTSC 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 4709 - 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.

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