DS 2004

Data Ethics

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Course Description

Explores principles and applications of data ethics within a broader social framework that prioritizes conversations about policy, regulatory frameworks, accountability, transparency, and governance models. Will discuss who is responsible for doing responsible data science, question how our work shapes the world around us, and understand the impacts of big data on people and communities.


  • Mona Sloane

     Rating

    1.08

     Difficulty

    2.50

     GPA

    3.64

     Sections

    Last Taught

    Spring 2025

  • Jess Reia

     Rating

    4.00

     Difficulty

    2.00

     GPA

     Sections

    Last Taught

    Fall 2025

  • Farhana Faruqe

     Rating

    2.83

     Difficulty

    2.00

     GPA

    3.85

     Sections

    Last Taught

    Fall 2024

  • To Announced

     Rating

     Difficulty

     GPA

     Sections

    1

    Last Taught

    Spring 2026

  • Aaron Martin

     Rating

     Difficulty

     GPA

    3.88

     Sections

    Last Taught

    Fall 2024

  • Emanuel Moss

     Rating

     Difficulty

     GPA

     Sections

    1

    Last Taught

    Spring 2026