Quantitative Competency

Definition of a Q course:

Q courses require the knowledge and use of mathematics and/or statistics at or above the basic algebra level as an integral part of the course. These courses might include comprehensive analysis and interpretation of data. The mathematical and/or statistical methods and skills required are those specific to the particular course and discipline.


Courses appropriate for a Q designation should have the following attributes:

1. Mathematics and/or statistics at or above the basic algebra level must be an integral part and used throughout the course;

2. Courses must include use of basic algebraic concepts such as: formulas and functions, linear and quadratic equations and their graphs, systems of equations, polynomials, fractional expressions, exponents, powers and roots, problem solving and word problems. Formal abstract structures used in symbolic logic and other algebraic analyses are acceptable;

3. Courses should require the student to understand and carry out actual mathematical and/or statistical manipulations, and relate them to whatever data might be provided in order to draw conclusions. Merely feeding numerical data into a program on a computer or a calculator to obtain a numerical result does not satisfy this requirement. Technology should be viewed as a tool to aid understanding and not as a driver of content.

Entry Expectations:

The present admission requirement for quantitative skills is the satisfactory completion of three or more years of high school mathematics course work including second-year algebra and first-year   geometry. Students are strongly encouraged, however, to take four years of mathematics  in high school. All students are expected to enter the University with a competency in basic algebra and quantitative reasoning as preparation for completing Q courses. All entering students will be evaluated for quantitative proficiency based on their Math SAT1 score and/or class rank.

Exit Expectations:

All  students must pass two Q courses, which may also satisfy Content Area  requirements. One Q course must be from Mathematics or Statistics. Students should discuss with their advisor how best to satisfy these requirements based  on their background, prior course preparation and career aspirations. Students  whose high school algebra needs strengthening should be encouraged to complete  MATH 1011Q: Introductory College Algebra  and Mathematical Modeling, as preparation for other Q courses.  Alternatively, students may take MATH 1010: Basic  Algebra With Applications (a course that does not carry credit toward  graduation). To receive credit for Math 1011Q it must be taken before successful  completion of another Q course. In some cases, advisors may recommend postponing  registration in a Q course until after the student has completed a semester of course work at the University.

The University Quantitative Learning Center:

Advisors may also recommend that students avail themselves of support services offered at the University Quantitative Learning Center in Storrs and at the regional campuses. The Quantitative Learning Center will be directed by a full time faculty member who will oversee the administration  of diagnostic examinations, quantitative-skills tutorials, workshops, modules, supplemental instruction, etc. The Quantitative Learning Center will also provide support to advisors and to faculty teaching Q courses on all campuses.