A Meaningful Degree in an In-Demand Career

With ever increasing advances in information technology, almost every industry has a need for data analysts to leverage collected information and help organizations operate more effectively and efficiently.

According to a recent McKinsey & Company big data report, in 2018, the United States alone could face a shortage of 140,000 to 190,000 professionals with proficient analytical skills. The shortage is expected to continue in the near future.

Through its Big Data and Business Analytics undergraduate and graduate programs, UCM is filling that skills gap, by helping students graduate ready to enter the workforce with a meaningful degree.

The Big Data and Analytics major at UCM provides focused knowledge and training to students so they can learn how to utilize a company’s data and generate information for strategic decision making.

More than Just Numbers

The undergraduate program is a collaborative effort between UCM’s Computer Information Systems and Analytics, Economics, and Finance programs, and the graduate program is offered by Computer Information Systems and Analytics. Both programs focus on applying the tools of Big Data and Analytics to various disciplines like:

  • Accountancy
  • Finance
  • Economics
  • Computer Information Systems and Cybersecurity
  • Marketing and Management
  • Healthcare Management

Students will learn how to use software tools to interpret data and identify important business trends, as well as:

  • Storage and management of Big Data including clustering, NoSQL, Hadoop, PIG, and Hive
  • Data mining
  • Artificial Intelligence
  • Operations management
  • Market analysis
  • Project management techniques
  • Predictive analytical tools and techniques

Career paths for Big Data graduates often include:

  • Data Analysts
  • Analytics Developers
  • Predictive Analysts
  • Data Scientists
Program taught in:
  • English
University of Central Missouri

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Last updated February 27, 2019
This course is Campus based
Start Date
Sep 2019
Duration
4 years
Full-time
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Sep 2019
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Sep 2019

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