• Crop and Soil Sciences:
  • These sciences use data science to analyze agricultural data, optimize crop yields, and develop sustainable soil management practices, including AI-driven precision agriculture techniques.
    • Agronomy (BS)
    • Crop Biotechnology (BS)
    • Soil Science (BS)
    • Turfgrass (BS)

• Graphic and Experience Design:
  • Graphic design leverages AI tools for automating tasks, enhancing user experiences, and creating data-driven design solutions
    • Undergraduate Minor in Data Science with Graphic and Experience Design
    • Undergraduate Certificate of Data Science with Graphic and Experience Design

• Undergraduate Minor in Data Science in K-12 Education (in progress)
  • This minor will integrate the following DSA courses: DSA 201, DSA 202, DSA 205, DSA 220, DSA 225, DSA 235, DSA 240, DSA 295, DSA 405, DSA 406, DSA 410, DSA 412, DSA 495, and DSA 595

• Computer Science:
  • Computer science is a core discipline at the foundation of both data science and AI. It is required for admission to the Foundations of Data Science and Applied Analytics Master’s programs.
    • Computer Science Artificial Intelligence Concentration
      • This concentration integrates the following DSA courses: DSA 201, DSA 202, DSA 205, DSA 240, DSA 295, DSA 405, DSA 406, DSA 410, DSA 412, DSA 495, and DSA 595
• Engineering and Applied Sciences:
  • Computer engineering emphasizes data processing, embedded systems, and cybersecurity, which are core areas of artificial intelligence and data science.
    • Undergraduate Minor in Data Science in Engineering Analytics and Decision-Making (DSA)
• Department of Civil, Construction, and Environmental Engineering:
  • Civil Engineering (BS)
    • This degree integrates the following DSA courses: DSA 201, DSA 202, DSA 205, DSA 225, DSA 406, and DSA 412

• Cognitive Science Minor
• Certificate in Professional Writing
  • This certificate integrates the following DSA courses: DSA 202, DSA 205, DSA 220, DSA 225, DSA 235, DSA 295, DSA 405, DSA 406, DSA 412, and DSA 495

• Business and Economics:
  • Business analytics, machine learning, and data science techniques are essential parts of the finance, marketing, and operations management data-driven decision-making process
    • Undergraduate Minor in Data Science in Business
    • Undergraduate Certificate of Data Science in Business
    • Business Analytics Concentration
      • This concentration integrates the following DSA courses: DSA 201, DSA 202, DSA 205, DSA 225, DSA 235, DSA 405, DSA 406, and DSA 412

• Biological and Environmental Sciences:
  • Geospatial Analytics Minor (in progress, anticipated release in Fall 2025)
    • This minor will integrate the following DSA courses: DSA 201, DSA 202, DSA 205, DSA 225, DSA 405, and DSA 406
• Fisheries, Wildlife, & Conservation Biology:
  • These fields use AI and data science modeling in wildlife tracking, conservation efforts, and ecological research to protect biodiversity and manage fisheries sustainably.
    • Conservation Biology (BS)
    • Fisheries Science (BS)
    • Wildlife Science (BS)
      

• Statistics:
  • Statistics is a core discipline at the foundation of both data science and AI. It is required for admission to the Foundations of Data Science and Applied Analytics Master’s programs.
    • Data Science Concentration (in progress).
• Mathematics:
  • Mathematics is a core discipline at the foundation of both data science and AI. It is required for admission to the Foundations of Data Science and Applied Analytics Master’s programs.
    • Mathematical Data Science Minor
      • This minor will integrate the following DSA courses: DSA 202, DSA 220, DSA 225, DSA 235, DSA 240, DSA 295, DSA 405, DSA 406, DSA 410, DSA 412, DSA 495, and DSA 595
• Sciences:
  • Biological Oceanography (concentration)
  • Chemistry (BS)
  • Geology (BS)
  • Integrative Physiology and Neurobiology Concentration
    • This concentration integrates the following DSA special topics course: DSA 595
  • Meteorology (BS)
  • Physics (BS)

• Textile Technology:
  • Textile technology may be used to improve textile supply chains, develop smart fabrics, and optimize production techniques at scale through the use of data science and AI.
    • Textile Technology Minor
• Humanities and Textiles:
  • Textile manufacturing involves predictive maintenance, optimizing production processes, and innovating new textile materials, which are relatedly advanced through data science and AI methods and applications.
    • Textile Engineering (BS)

A meeting is planned to discuss pathways in Spring 2025.