Accreditation

Accreditation

Program Educational Objectives

Alumni, employers, faculty, and students participate in a process used to develop educational objectives for the undergraduate program in data science. Within a few years of graduation, program graduates completing the baccalaureate degree in data science will

  • Be recognized by their peers as fundamentally sound in the application of mathematics, statistics, computing, and artificial intelligence in the field of data science.
  • Be engaged in the practice of data science as innovative problem solvers with a strong work ethic, by identifying and implementing solutions using the proper tools, appropriate data, practical approaches, and flexible thinking throughout the data lifecycle.
  • Be productive and demonstrate leadership in the practice of data science, both individually and within multidisciplinary teams, using effective oral and written communication skills when working with peers, supervisors, and the public.
  • Be responsible in the practice of data science, embodying sound ethical principles and practices, a commitment to lifelong learning, and a genuine concern for society.

Student Outcomes

By the time of graduation, students should possess:

  1. An ability to identify, formulate, and solve broadly defined technical or scientific problems by applying knowledge of mathematics and science and/or technical topics to areas relevant to the discipline.
  2. An ability to formulate or design a system, process, procedure or program to meet desired needs.
  3. An ability to develop and conduct experiments or test hypotheses, analyze and interpret data and use scientific judgment to draw conclusions.
  4. An ability to communicate effectively with a range of audiences.
  5. An ability to understand ethical and professional responsibilities and the impact of technical and/or scientific solutions in global, economic, environmental, and societal contexts.
  6. An ability to function effectively on teams that establish goals, plan tasks, meet deadlines, and analyze risk and uncertainty.

Adopted August 27, 2025