Data Science

Using credits to participate in experiential learning is a great way to put classroom learning into practical experience. While engaged in the supportive environment of an internship, you can test career goals, enhance professional skills, develop self-reliance, self-esteem, and responsibility. Furthermore, these opportunities encourage networking with professionals and will provide increased marketability for employment after graduation.

Below are your options for earning experiential credits. Please meet with your academic advisor before making a final decision regarding which option is best for you.

CSC 499: Project in Data Science

Requirements

  • Advanced standing in data science
  • Department approval

Logistics

  • Project in Data Science
  • Supervised work preparing students for careers in industry and graduate study
  • 4 credits each (S/U Only)
  • May be repeated for a maximum of 8 credits

Contact

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    ITR302/304: Field Experience & Seminar

    Requirements

    • 2.0 cumulative GPA or higher
    • Minimum 60 credits prior to internship
    • Available free elective credits
    • Good academic and social standing

    Logistics

    • ITR 302 Field Experience: 3-12 credits (S/U grade)
    • ITR 304 Seminar: 3 credits (letter grade)
    • Seminar is asynchronous online via Brightspace

    Contact

    Your Career Education Specialist