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UC Riverside

Data Science

Data Science will be seeking ABET Accreditation

Program Educational Objectives 

Graduates of UCR’s BS degree in this program will meet high professional, ethical, and societal goals as demonstrated by:

  • Success in post-graduation studies as evidenced by:
    • satisfaction with the decision to further their education
    • advanced degrees earned
    • professional visibility (e.g., publications, presentations, patents, inventions, awards)
    • professional responsibilities (e.g. professional mentoring, professional society membership and offices, reviewing and editorial work for professional journals)
  • Success in a chosen profession or vocation as evidenced by:
    • career satisfaction
    • promotions/raises (e.g. Management leadership positions or distinguished technical positions)
    • professional visibility (e.g., publications, presentations, patents, inventions, awards)
    • professional responsibilities (e.g. professional registration, professional mentoring, professional society membership and offices)
    • entrepreneurial activities
    • consulting activities
  • Contributions to society as evidenced by:
    • leadership roles
    • public service
    • mentoring / outreach activities
    • volunteer service

Student Outcomes

Our goal for our graduates

As a graduate of our program, you will be able to move onto the next chapter of your life with the following skills:

  1. Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.
  2. Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
  3. Communicate effectively in a variety of professional contexts.
  4. Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
  5. Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
  6. Apply theory, techniques, and tools throughout the data analysis lifecycle and employ the resulting knowledge to satisfy stakeholders’ needs.