The University of North Carolina at Charlotte Mathematics, Statistics Concentration, B.A.
The University of North Carolina at Charlotte

The University of North Carolina at Charlotte

Mathematics, Statistics Concentration, B.A.

Charlotte, USA

BA

English

Full time

Key Summary

About: Mathematics B.A., Statistics concentration at UNC Charlotte requires 120 credit hours. The program includes 12 credit hours of calculus, linear algebra, an introductory programming course, probability and statistics, applied regression, plus electives such as design of experiments, time series, multivariate analysis, applied statistics, and statistical computing. The department develops understanding of mathematical concepts and structure, deductive and inductive reasoning, and facility with applications. Keywords: statistics, probability, regression, linear algebra, programming, data analysis, statistical computing, quantitative reasoning.

Career Outcomes: Graduates can enter data analysis, analytics, actuarial science, data science, research, government, or industry roles, and pursue graduate study in statistics.

Mathematics, Statistics Concentration, B.A. at a Glance

A Mathematics degree requires 120 credit hours. Math majors in the Statistics concentration take 12 credit hours of calculus, linear algebra, an introductory computer programming course, probability and statistics, applied regression, and upper-level electives such as design of experiments, time series analysis, multivariate analysis, applied statistics, and statistical computing, among others.

The Unifying Language of Mathematics

Mathematics is a language, a science, an art form, and a tool of tremendous power. Today every educated person needs at least a familiarity with the language of mathematics to understand the growth of technology in almost every aspect of our society. The Department of Mathematics and Statistics seeks to introduce students to this vast area of knowledge and assist its students to develop:

  • Understanding of concepts, structure, and style of mathematics;
  • The ability to reason deductively and inductively; and
  • Facility with the applications of mathematics.