• This degree program is 34 credits and can be completed in as little as one year.
  • The curriculum combines a primary core, secondary core (data science track), and electives to give students a strong data science foundation.
  • As an interdisciplinary program, the master’s in Applied Data Science provides students the opportunity to learn in a broad range of areas related to data science. Successful students in our program will be able to:
    • Collect, store, and access data by identifying and leveraging applicable technologies
    • Create actionable insight across a range of contexts (e.g. societal, business, political), using data and the full data science life cycle
    • Apply visualization and predictive models to help generate actionable insight
    • Use programming languages such as R and Python to support the generation of actionable insight
    • Communicate insights gained via visualization and analytics to a broad range of audiences (including project sponsors and technical team leads
    • Apply ethics in the development, use and evaluation of data and predictive models (e.g., fairness, bias, transparency, privacy)