Program Highlights
The mission of the Master of Science in Enterprise Analytics (MS/EA) program is for graduates to successfully master the strategies, tools, methods, and applications necessary to become skilled at the implementation of advanced enterprise analytics to gain 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.
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.
This program can be completed 100% online.
Career Impact
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 at Amberton University will use modern technology to learn in a lab-like setting that emulates how data analytics professionals actually work in business.
Earning Your Degree
Degree Plan Requirements
9hrs
Prerequisites & Required Graduate Studies
18hrs
Major Requirements
6hrs
Electives
The mission of the Master of Science in Enterprise Analytics (MS/EA) program is for graduates to successfully master the strategies, tools, methods, and applications necessary to become skilled at the implementation of advanced enterprise analytics to gain competitive advantage. The MS/EA program is ideal for individuals who want to enhance their ability to successfully initiate and manage business analytics functions in modern organizations. The curriculum focuses on contemporary Enterprise Analytics theories and best practices. Students acquire knowledge of business analytics tools, techniques, and processes necessary to effectively employ applications such as machine learning, artificial intelligence, linear / non-linear programming, big data mining, optimization, and root cause analysis. MS/EA graduates are prepared to fulfill leadership roles in applying business analytics to support decision making in modern organizations.
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 technologies, tools and techniques to disparate data within organizations to extract meaningful insights.
- Critically 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.
| Requirements | Hours |
|---|---|
| I. Program Prerequisites | 3 hours |
| The prerequisite to the MS/EA program is a bachelor's degree in business; otherwise, the student must have taken the following course or its equivalent: | |
| BUS3310 Competitive Business Analysis | 3 hours |
| II. Required Graduate Studies | 6 hours |
| RGS6035 Theory & Application of Research Methods | 3 hours |
| RGS6036 Ethics for Decision Making | 3 hours |
| III. Major Requirements (6000 level) | 18 hours |
| ACC6135 Data Analytics for Accountants | 3 hours |
| MGT6460 Applied Business Analytics | 3 hours |
| MGT6470 Operations Analytics | 3 hours |
| MGT6480 Predictive Human Resources Analytics | 3 hours |
| MKT6450 Competitive Marketing Analytics | 3 hours |
| MGT6490 Enterprise Analytics (Capstone) | 3 hours |
| (Taken at the completion of all course work, except electives) | |
| III. Electives (5000/6000 levels) | 6 hours |
| Business Administration Electives | 6 hours |
| (Selected from courses with the following prefixes: ACC, BUS, ECO, FIN, MGT, MKT) | |
| Total | 30 hours |
Degree Plan Requirements
9hrs
Prerequisites & Required Graduate Studies
18hrs
Major Requirements
6hrs
Electives
Stackable Certifications:
Certification programs can be earned in conjunction with degree programs or as stand-alone programs of study. Students may earn one or more certifications offered by Amberton while pursuing this degree.
Master of Science - Enterprise Analytics
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