A person writes mathematical equations and diagrams on a transparent board, surrounded by complex formulas and geometrical shapes in a blurred environment.

Minor in
Mathematics

The Math Minor is designed to equip students with the quantitative skills that are often required for entrance into top graduate schools. The Math Minor also improves the student’s future employability in a competitive work environment. This minor is particularly popular with students who major in Business Management, Finance, or Economics and wish to improve their quantitative skill set at both the theoretical and practical level.

Goes well with

Related minors

Programme Structure

An undergraduate may complete the requirements of one major and one minor and receive one US degree. A minor is an optional subject of specialisation within the undergraduate degree, which must be outside of the undergraduate major course of study and consist of at least 18 US /72 UK credits. A minor may not be completed independent of an undergraduate degree.

Undergraduates who add a minor to their major degree programme will normally need to complete more than the minimum 120 US/480 UK credits required for graduation. The normal course load for a full-time undergraduate student is 15-16 US/60-64 UK credits a semester. The minimum full-time undergraduate course load is 9 US/36 UK credits a semester.

Minor in Mathematics Programme Specification
Minor in Mathematics	US Credits	UK Credits
MTH 3111 Functions with Applications	3	12
MTH 4100 Calculus with Applications This course provides a sound understanding of the concepts of calculus and their applications to business and economics. Emphasis in providing the theory side by side with practical applications and with numerous examples. Topics include co-ordinate geometry of straight lines, quadratic curves, exponential and logarithmic functions; elementary differentiation and integration; and applications to maxima, minima, and optimization. It also deals with differentiation and integration of trigonometric and inverse trigonometric functions.	3	12
MTH 4120 Probability and Statistics I An introductory course in probability primarily designed for business economics and psychology majors. The course coverage will include: descriptive statistics, elementary probability theory, random variables and expectations, discrete probability distributions (Binomial and Poisson distributions), continuous probability distribution (Normal distribution), linear regression analysis and correlations, elementary hypothesis testing and Chi-square tests, non-parametric methods and SPSS lab sessions targeting applications of statistical concepts to business, economics and psychology and interpretations of hardcopies. All practical work will be produced using SPSS statistical software.	3	12
Plus three Level 5 / 6 MTH courses:	Minimum of 9	Minimum of 36
Minor Requirements	18	72

The University reserves the right to cancel or replace programmes and/or courses for which there is insufficient enrolment or concerns about academic standards, or for which the University cannot provide adequate teaching resources. Reasonable and appropriate effort is made to ensure that the content of courses corresponds with the descriptions in the University’s Programme and Course Listings.

For more detailed information on each of the course specifications, please visit our webpage here.

What is the Liberal Arts?

We understand that not everyone is familiar with the Liberal Arts education system. That is why we have produced a short guide explaining the structure at Richmond as well as the benefits.

THE LIBERAL ARTS