MBA in Data Analytics

... United States
... Herzing University

Course Overview

Big data is more than just a buzzword. In today’s wired world, businesses and organizations are collecting and producing more data than ever before. Patterns that can help improve operational efficiency and customer service and reveal new opportunities for targeting audiences, expanding into new markets, and staying ahead of the competition are buried in this mountain of information.

You can gain the knowledge and skills you need to take a leading role in data analytics at your organization with Herzing University’s MBA in as few as 14 months.

  • Innovative online program with courses covering business intelligence applications for data analysis

  • Opportunity to earn Associate Certified Analytics Professional (ASCAP) designation before graduation.

  • Gain experience using a variety of industry-standard software such as Tableau, OpenRefine, Microsoft Power BI, Talend, and more

After graduation, you will be equipped to help drive informed, strategic decision-making through data-derived insights. This versatile qualification applies across many industry sectors.

General Eligibility

Enrollment prerequisites to enroll in Herzing's MBA program include the following:

  • A bachelor's or graduate degree from a college or university accredited by an agency recognized by the U.S. Department of Education or have completed a three or four-year bachelor's degree at a foreign college or university recognized as equivalent to a U.S. bachelor's degree by an approved foreign credential evaluator.

  • Meet and interview with a Herzing admissions advisor

  • Complete an application form

Part Time Work Details

20 hours per week

Language Requirement

    • No minimum GMAT/GRE score is required for admission

Programme Information
...
Course Category

Data Analytics


...
Campus Name

Online


...
Course Level

Postgraduate


...
Duration

14 Months


...
Available Intake

January


...
IELTS Score

0.0


...
Tuition Fees Range

$536 per credit,


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