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The Graduate Certificate Program in Business Analytics launches in fall 2020. The program is 12 credit hours and curriculum consists of four courses:

1. Information Systems Strategy and Planning (MBA 5205)

2. Knowledge Discovery Using Business Analytics (MBA 5210)

3. Practical Business Analytics (MBA 5220)

4. Data Mining for Business Analytics (MBA 5230)


All courses will be offered in Self-Paced Online (SPO) format.

Admission criteria can be found on the MBA Admissions page.

Application Deadlines:


  • Domestic: First Monday in October
  • International: September 1


  • Domestic: First Monday in June
  • International: May 1

 **More information can be found on:

Benefits of Earning Your Degree at MSU Denver

The MSU Denver College of Business is accredited by AACSB, earned by just 5 percent of the world’s business schools.

Sample Classes

The program is 12 credits. Below includes the four required courses to receive a graduate certificate:

Information Systems Strategy and Planning (MBA 5205)

This course builds an understanding of information technology from a management perspective. By the end of this course, students will have an understanding of the links between information technology, business strategy, business process management, and organizational management dynamics. Three main themes are emphasized: the current market for IT capabilities and services, ways to gain competitive advantage by using information technology to enable new value-enhancing strategies and business models and products, and understanding how managers should specify, source, deploy, manage and support their information technology assets and infrastructure.


Knowledge Discovery Using Business Analytics (MBA 5210)

This course presents students with material from each of the three areas of Business Analytics—Descriptive Analytics, Predictive Analytics, and Prescriptive Analytics. Descriptive Analytics will cover descriptive statistics and the exploration of data. Predictive Analytics will cover regression analysis, model building, time series analysis, forecasting and Analysis of Variance. Prescriptive Analytics will cover decision making under uncertainty and risk, linear optimization, integer optimization, nonlinear optimization, and simulation modeling. A variety of software tools will be used to analyze data and solve decision-making problems.


Practical Business Analytics (MBA 5220)

This course introduces the role of business analytics in organizations with examples of projects in multiple functional areas, industries and using a variety of analytics methods. This course applies practical methodologies, strategies, and best practices for performing descriptive, predictive, and prescriptive analytics. In order to support the overall business analytics framework and methodology, this course also includes the use of enterprise level analytics tools and systems.


Data Mining for Business Intelligence (MBA 5230)

This course provides students with a theoretical and practical understanding of data mining concepts and techniques; and hands-on experience in applying these techniques to practical real-world business problems using commercial data mining software. As an applied course, the emphasis is on application and interpretation of various data mining methods using business cases and data.

Program Accreditation

Association to Advance Collegiate Schools of Business (AACSB) logo

AACSB Accreditation.


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