Master of Science in Enterprise Analytics

Degree Plan Details

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The Master of Science in Enterprise Analytics at Amberton University targets adult learners interested in affecting positive change at their organizations through improved data-driven decision-making.  Grounded in an array of business analytics principles, the MSEA program is a study of strategies, tools, methods, and applications that provides students with the capability to master the implementation of advanced enterprise analytics to gain a competitive advantage.  Students acquire knowledge of business analytics tools, techniques, and processes necessary to effectively employ applications such as machine learning, artificial intelligence, linear programming, data mining, optimization, predictive analytics, and root cause analysis.  Finally, data analytics is a fun, easy-to-learn specialization that is inherently multi-disciplinary: instead of a focus on mathematical proofs, students at Amberton University will use modern technology to learn in a lab-like setting that emulates how data analytics professionals actually work in business.  Plus, at Amberton University, we bring the class to you w/ weekly Zoom sessions that are recorded for students who prefer to engage asynchronously.

A graduate with a Master of Science in Enterprise Analytics degree will be able to:

  • Analyze and apply the Enterprise Analytics processes of acquiring, cleaning, combining, synthesizing, and analyzing large amounts of data from many sources.
  • Effectively communicate Enterprise Analytics insights, conclusions, and information clearly and concisely to support decision making.
  • Integrate and apply Enterprise Analytics tools and techniques to disparate data within organizations to extract meaningful insights.
  • Understand and examine Enterprise Analytics theory(ies) and its implications for business strategy and competitive positioning for modern organizations.
  • Demonstrate knowledge of ethical issues and apply decision-making skills as they relate to the application of Enterprise Analytics.
  • Conduct relevant research appropriate to the understanding and application of Enterprise Analytics.

The minimum requirements for a Master of Science in Enterprise Analytics are:

  • 24 semester hours applicable to the degree must be completed at Amberton University.
  • 30 semester hours for a degree.
  • A minimum cumulative grade point average (GPA) of 3.00 is required.

Degree Plan

Prequisities (BBA or the following course)
BUS3310 Competitive Analysis 3 hours
Required Graduate Studies  (6 hours)
RGS6035 Theory & Application of Research Methods 3 hours
RGS6036 Ethics for Decision Making 3 hours
Major Requirements (6000 level courses 18 hours)
MGT6460 Applied Business Analytics 3 hours
MGT6470 Operations Analytics 3 hours
MKT6450 Competitive Marketing Analytics 3 hours
ACC6135 Data Analytics for Accountants 3 hours
MGT6480 Human Resources Analytics 3 hours
MGT6490 Enterprise Analytics 3 hours
Electives (6 hours)
Business Administration Electives
(Selected from courses with the following prefixes: ACC, BUS, ECO, FIN, MGT, MKT)
6 hours

Total Hours

30 hours
(Excluding Program Prerequisites)

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