Business Analytics (CERT)

Summary

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. 

Catalog Year

2023-2024

Degree

Certificate

Major Credits

17

Total Credits

17

Locations

Mankato

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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, STAT 154

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

* An equivalent to Math 112 can be substituted.

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

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: MRKT 210, STAT 154 or ECON 207

* MRKT 324 requires the prerequisite course MRKT 210.

4-Year Plan

The 4-Year Plan is a model for completing your degree in a timely manner. Your individual 4-Year plan may change based on a number of variables including transfer courses and the semester/year you start your major. Carefully work with your academic advisors to devise your own unique plan.
* Please meet with your advisor on appropriate course selection to meet your educational and degree goals.

First Year

Fall - 4 Credits

Elective Course in Major * 4 credits

Spring - 6 Credits

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

Prerequisites: ECON 207, STAT 154

Elective Course in Major * 3 credits

Second Year

Fall - 6 Credits

This course introduces concepts and skills in unsupervised data mining, prescriptive analytics, and an introduction to unstructured data analytics (text). Students will learn basic coding in R, Python, database management using SQL, and visualization with Tableau.

Prerequisites: FINA 375

Elective Course in Major * 3 credits