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 (68 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

  • Professional Speaking: Complete one of
    • COMM-C 180 Interpersonal Communication
    • COMM-C 223 Business and Professional Communication
    • SPCH-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
  • CSCI-A 201 Programming I
  • CSCI-A 202 Programming II
  • CSCI-C 343 Data Structures
  • 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
  • PBHL-B 302 Introduction to Biostatistics
  • PBHL-B 285 Classical Biostatistical Regression Methods
  • Statistical Learning & Data Analytics: Complete one of
    • PBHL-B 420 Introduction to Biostatistical Learning
    • INFO-I 415 Introduction to Statistical Learning
  • INFO-I 223 Data Fluency
  • Database Programming: Complete one of
    • CSCI-N 311Database Programming
    • CSCI-C 442 Database Systems
    • INFO-I 308 Information Representation
    • CSCI-B 461 Database Concepts
  • Introduction to Data Management: Complete one of
    • CSCI-N 211 Introduction to Database
    • CSCI-N 213 Database Applications
  • CSCI-N 317 Computation for Scientific Applications
  • INFO-I 416 Applied Cloud Computing for Data Intensive Sciences
  • INFO-I 421 Applications of Data Mining
  • INFO-I 453 Computer and Information Ethics
  • NEWM-N 328 Visualizing Information
  • PBHL-B 452 Fundamentals of Data Management
  • Capstone: Complete one of
    • INFO-I 490 Professional Practicum/Internship
    • INFO-I 492 Senior Thesis

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