Business Analytics (CERT)

Business Analytics is the application of statistical techniques using software to gain insights on business data for the purpose of making strategic business decisions. The focus is on helping students interested in business learn the basics of predictive and prescriptive techniques, using popular business visualization software such as Tableau, and analyze data using programming languages such as R. 

A certificate in business analytics can enhance your degree program by adding a desirable data analytics skills set to your core competencies.

Students who wish to pursue technology-related careers in business could benefit from adding a certificate in business analytics to their resume.

17 Credit program

Students with previous credit should consult with the Finance Department Chairperson before starting the certificate. Transfer students pursuing this certificate must complete at least 50% (one-half) of the coursework at Minnesota State University, Mankato.

For more information contact Dr. Ishuan Li Simonson, 507.389.5753. To declare this certificate visit or contact the College of Business Student Center, MH 151.

Learn more about the Business Analytics Advisory Board here>>>

Program Requirements

Major Common Core

Basic statistical methods including measures of central tendency and dispersion, probability, probability distributions, sampling, problems of estimation and hypothesis testing in the case of one and two sample meaans and proportions. Chi-Square, one-way analysis of variance, simple regression and correlation analysis, and brief introduction to multiple regression analysis. Use of computer statistical packages required.

Prerequisites: MATH 112 or equivalent

Goal Areas: GE-02, GE-04

Introduction to analytic tools and techniques using business applications.Grading Method

Prerequisites: ECON 207

Concepts of algebra (real numbers, exponents, polynomials, rational expressions), equations and inequalities, functions and graphs, polynomial and rational functions, exponential and logarithmic functions, systems of equations and inequalities, matrices and determinants, conic sections, sequences and series, probability, and binomial theorem.

Prerequisites: Satisfy Placement Table in this section, or MATH 098 with grade of P. 

Goal Areas: GE-04

Major Restricted Electives

Choose 6 Credit(s).

This course is designed to cover basic tools in time series analysis and to equip students with quantitative skills to analyze the financial market.Fall

Prerequisites: ECON 207

This course introduces a scientific approach to modeling and solving managerial decision problems. It includes such topics as linear and integer programming, network models, waiting-line models, simulation analysis, and decision theory.

Prerequisites: none

In this course, students will examine the role of research in decision making and the basics of scientific research, including the preparation of research proposals, design of data collection instruments, data analysis, interpretation, and reporting.

Prerequisites: ECON 207, MRKT 210