If you are having any difficulty using this website, please contact the Help Desk at Help@nullHofstra.edu or 516-463-7777 or Student Access Services at SAS@nullhofstra.edu or 516-463-7075. Please identify the webpage address or URL and the specific problems you have encountered and we will address the issue.

Skip to Main Content
Hofstra College of Liberal Arts and Sciences

Quantitative Reasoning Requirement

For students entering between Fall 2018 and Summer 2020: Satisfactory completion of one course designated as Quantitative Reasoning (QR).  

For students entering Fall 2020 and later: Satisfactory completion of two courses designated as Quantitative Reasoning (QR). (See BA Requirements in the Bulletin.)

Quantitative Reasoning Requirement

Loading Writing Intensive (WI) Courses

An Overview of QR Courses

Quantitative reasoning (QR) courses intend to develop students' aptitude in the use of data and quantitative analytical tools in a wide range of inquiries in personal, professional, and public contexts; and their ability to think critically about quantitative measures of abstract concepts, and the accuracy and soundness of conclusions based on data or on mathematical models. 

Examples of QR Activities

The focus of QR courses is intended to be on the application of quantitative methods to a specific context, although these courses may embed basic methodological training in their subject matter. This characteristic sets QR courses apart from mathematics courses.

The methods that are emphasized in QR courses vary widely, but it is expected that students will engage in one or more of the following activities, and that at least 30% of the student’s grade will be determined by assignments and/or exams associated with these activities:

  • Learning to read, construct, interpret and evaluate tables, graphs, maps, and charts.
  • Developing quantitative measures of physical, spatial, behavioral or social phenomena.
  • Using mathematical models to express causal relationships and to explore the implications of changed assumptions or proposed solutions to problems in the physical or social world.
  • Collecting and organizing numerical data from archives, surveys, lab experiments or other sources.
  • Testing hypotheses using experimental or statistical controls.
  • Assessing the limitations of research, such as the reliability and validity of measures, adequacy of experimental design, sample size and quality and alternative hypotheses and interpretations.

How does a course receive the QR designation?

Chairs make decisions about proposed QR courses, in consultation with their faculty and the Hofstra College of Liberal Arts and Sciences Standards and Review Committee.

Syllabus Guidelines

Each syllabus should include a description of ways that QR will be taught, along with information about the number and types of assignments as well as the percentage of the grade dedicated to quantitative reasoning.