The ability to understand and apply statistical and computational reasoning is essential in our society. It is a critical component of liberal arts education at DePaul University. Regardless of a student’s field of study or career after graduation, exposure to the methods and tools of statistical reasoning and computational reasoning is important for life-long learning.

Math and Computing Domain courses are particularly relevant to achieving the goals stated in 3.1.B. of DePaul’s 2024 strategic plan, to "ensure that all graduates demonstrate core competencies and transferable skills (e.g., cultural agility; technological, information, and data literacy; computational thinking; critical and systems thinking; effective communication; and ethical and moral reasoning)."

To adequately prepare our students in statistical and computational reasoning skills, the Math and Computing domain offers two categories of courses: Computational Reasoning (CR) and Statistical Reasoning (SR).

Learning Outcomes

Computational Reasoning

Students will be able to:

  • Apply computational thinking skills to analyze and design solutions to problems or to express a creative concept.
  • Develop, express, trace, and analyze algorithms.
  • Apply fundamental concepts of programming in implementing algorithms.
  • Create original artifacts using computational tools and techniques.
  • Apply computational tools to transform and manipulate data.
  • Explain the potential harms and benefits of computing in a number of contexts.

Statistical Reasoning 

Students will be able to:

  • Recognize and explain statistically based results from real data (either primary or secondary) and evaluate whether reported conclusions reasonably follow from the study and analysis conducted.
  • Use statistical software to produce and interpret graphical displays and statistical summaries.
  • Recognize and explain the roles of variability and randomness in interpreting data and drawing conclusions.
  • Explain common ethical issues associated with sound statistical practice, including those associated with research design, and their impact on statistical decision-making.
  • Measure the strength of association between variables and identify possible effects of confounding or interacting variables on the interpretation of the association.
  • Apply basic ideas of statistical inference, including confidence intervals or hypothesis testing, in a variety of settings.

QR and MCD Waiver

Depending on a student's program of study, they may need to take LSP 120 - Quantitative Reasoning. Readiness for LSP 120 is determined by the math placement test taken online after admission. Students may need to take developmental coursework prior to LSP 120. The LSP 120 requirement may be waived by credit already earned for advanced math coursework or by passing a dedicated proficiency exam. Students who complete LSP 120 and also successfully complete required work in the Math and Computing Domain (both Computational Reasoning and Statistical Reasoning categories) may take one less Learning Domain course. Students may not apply the course reduction to any Domain where only one course is required, and it may not be applied to the Scientific Inquiry Domain.


Below please find examples of courses offered for Math and Computing credit. For information on current offerings, please consult Campus Connection.

Computational Reasoning (CR)

Course Title Quarter Hours

Statistical Reasoning (SR)

Course Title Quarter Hours