Master of Business Administration

Data Analytics

Online On Campus
Hurry! Classes Start Jan 15, 2018
Classes Start Six Times Per Year For Ultimate Flexibility

Goals and Course Topics

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. 

Practical Education

Our 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 very reasonable and highly competitive
  • A high Return on Investment (ROI), based on industry trends

Format

Online: Two 7-week terms per semester starting in January, March, May, July, August and October

On Campus: Two 7-week terms per semester starting in January, March, May, July, August and October

Who Is This Program For?

The goal of the TU 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.

Average degree completion for a full-time student
4.5 Semesters
Average degree completion for a part-time student
8 Semesters

At a Glance

  • Regional accreditations
  • No application fees
  • Flexible start dates
  • Accepts transfer credits

Sample Courses

Data Mining and Structure (DAX510)

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 (DAX520)

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 (DAX630)

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.

Find out what it takes to earn your

MBA in Data Analytics!