Schools

School of Natural Sciences

Bachelor of Science in Data Science - Online

Degree Requirements

Students receiving the Bachelor of Science in Data Science must complete 120 total credit hours including:

  • General Education Core (30 cr.)
  • Data Science Core (65 cr.)
  • Electives as needed to complete 120 total credit hours

  • A minimum of 30 credit hours at the 300- or 400-level
  • Courses required for the major must be completed with a grade of C or higher
  • A minimum GPA of 2.0 is required

Data Science Core

Communication Foundations

  • Professional Speaking: Complete one of
    • COMM-C 180 Interpersonal Communication
    • COMM-C 223 Business and Professional Communication
    • COMM-S 122 Interpersonal Communication
    • SPCH-S 223 Business and Professional Communication
    • CMCL-C 122 Interpersonal Communication
  • Professional Writing: Complete one of
    • ENG-W 230 Science Writing
    • ENG-W 231 Professional Writing Skills
    • ENG-W 233 Technical Writing
    • ENG-W 234 Technical Report Writing
    • ENG-W 270 Argumentative Writing
Computer Science Foundation
  • CSCI-A 204 Programming I (4 cr.)
  • CSCI-A 205 Programming II (4 cr.)
  • CSCI-C 310 Data Structures
Math Foundations
  • MATH-M 220 Calculus for Data Science I
  • MATH-M 230 Calculus for Data Science II
  • Linear Algebra: Complete one of
    • MATH-M 301 Linear Algebra and Applications
    • MATH-M 303 Linear Algebra

Statistics Foundations

  • PBHL-B 275 Probability
  • PBHL-B 384 Biostatistical Refression
  • CSCI-C 377 Biostatics OR PBHL-B 303 Biostatistics for Health Data
Data Science Core Fluency
  • PBHL-B 420 Biostatical Learning OR INFO-I 415 Statistical Learning
Data Science Program
  • CSCI-C 442 Database Systems

Data Science Core Data Mangagement 

  • PBHL-B 352 Foundational Public Health Data Management

Data Science Core Data Applications

  • CSCI-N 317 Computation for Scientific Applications

Data Science Core Cloud Computing

  • INFO-I 308 Information Representation
  • INFO-I 416 Applied Cloud Computing for Data Intensive Sciences

Data Science Core Data Mining

  • INFO-I 421 Applications of Data Mining

Data Science Core Ethics

  • INFO-I 453 Computer and Information Ethics
Data Science Core Data Visualization
  • NEWM-N 328 Visualizing Information
Capstone: Complete one of
  • INFO-I 490 Professional Practicum/Internship
  • INFO-I 492 Senior Thesis

Academic Bulletins

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