Master of Business Administration

Data Analytics

Online On Campus
Classes Start October 16 and January 9. Reserve your seat today!
Classes Start Six Times Per Year For Ultimate Flexibility

Goals and Course Topics

32-36 credit, 14-month MBA program

Know the customer

More than ever, today’s global economy requires a deeper understanding of products, customers, competitors and strategies. The world of business is quickly converging to a personalized market for goods and services that requires a thorough understanding of what customers want, when they want it and where they want it. The online MBA data analytics program will help you meet the market’s needs. 

Practical Education

Our online MBA data analytics program is unique in several ways:

  • Courses taught by real faculty with expertise in analytics
  • Live interaction with and access to faculty
  • A highly robust curriculum that includes such topics as data acquisition, management of data, use of statistical software to produce intelligent outcomes, knowledge of concepts that advance the understanding of “what and why to do” and data visualization and presentation
  • “Hands on” use of real data to advance understanding of concepts
  • Case based format to further reinforce the understanding of concepts
  • Capability to complete the concentration in less than a year
  • Cost that is highly competitive; plus, tuition costs have held steady over the past five years
  • A high Return on Investment (ROI), based on industry trends

Learn More About Our Online MBA Data Analytics Program

Online MBA Data Analytics Format

Online: Two terms per semester starting in January, March, May, July, August and October

On Campus: Two terms per semester starting in August only.

Core MBA courses are offered online or on campus, and the concentration-specific courses will be offered online in the Fall and Spring semesters.

Who Is This Online MBA Data Analytics Program For?

The goal of the TU online MBA Data Analytics concentration is to introduce students to the tools and techniques that Data Analysts use to examine data in order to draw meaningful and actionable conclusions. Students will learn how to gather data, examine the suitability of the data, determine relevant models, calculate parameters of the models using software, interpret and communicate the results and suggest strategies to improve business performance.

Waiving courses allows for cost savings and faster degree completion.

MGT515 and MGT516 may be waived by permission of the Dean. With these two courses waived, qualified students can complete their MBA in as little as 14 months if they are enrolled full-time; however, part-time options are also available.

Optional Second Concentrations

You can enhance your skillset even more by adding just a few more courses for a second concentration. The MBA program offers the following second concentrations:

MBA Data Analytics FAQ

What is data analytics?

Data analytics is the process of examining data sets to determine trends and draw conclusions about the information they contain. Data analytics is done with the aid of systems and software, and data analytics technologies enable organizations to make informed business decisions. Scientists use analytics to prove or disprove scientific theories, models and hypotheses.

What is an MBA in data analytics?

An MBA in data analytics introduces students to the tools and techniques that data analysts use to examine data and draw meaningful and actionable conclusions. Students will learn how to gather, examine and interpret data as well as communicate strategies to improve organization performance.

What can I do with an MBA in data analytics?

With an MBA in data analytics, you will be qualified for a variety of career opportunities, including data analyst, data scientist, data engineer, quantitative analyst, operations analyst, marketing analyst and more.  

Average degree completion for a full-time student
32 - 36 credits
Average degree completion for a part-time student
32 - 36 credits

At a Glance

  • 32-36 credit, 14-month MBA program
  • Regional accreditations
  • No application fees
  • Flexible start dates
  • Accepts transfer credits
  • No GRE/GMAT required
  • Also offered as an online certificate
  • 33% of MBA students receive tuition discounts. Contact us today to learn more!

Quick Links

Sample Courses

Data Mining and Structure (DAX 511)

In this course, students will learn how to load different types of data files into a usable format as well as levering external data sourcs with internal data. Students will become proficient with articulating problem solving techniques that involves data from different sources and the value external data sources can provide to organizations

Descriptive and Inferential Statistics (DAX 521)

In the course, students will develop techniques to help visualize and understand the data gathered. Students will also learn how to draw inferences from the data using some simpler models and statistical techniques. 

Advanced Inferential Techniques (DAX 631)

This course will focus on building and using different tools to find information within the data sets retrieved. Students will be expected to review data sets and find value within the data sets for the data owners. The data can answer questions and it can generate additional questions to be asked using SAS and SPSS software.

Related Blog Posts

Find out what it takes to earn your

Online MBA in Data Analytics!

Learn More About TU

Watch video testimonials from our students: