Program Highlights
The mission of the Master of Science in Data Analytics program is to prepare students to be competent data analysts in an organization.
This program will provide a curriculum that focuses on both the application of analytical software and the fundamental techniques needed to analyze data. This program concentrates on educating students on the concepts of operations research, analytics, mathematics, statistics, and database management.
The program may be completed 100% online.
Career Impact
Grounded in an array of business analytics principles, the MS Data Analytics 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.
Earning your Degree
Degree Plan Requirements
9hrs
Prerequisites & Required Graduate Studies
15hrs
Major Requirements
9hrs
Electives
The mission of the Master of Science in Data Analytics program is to prepare students to be competent data analysts in an organization. This program will provide a curriculum that focuses on both the application of analytical software and the fundamental techniques needed to analyze data. This program concentrates on educating students on the concepts of operations research, analytics, mathematics, statistics, and database management. The program may be completed 100% online.
A graduate with a Master of Science in Data Analytics degree will be able to:
- Understand basic concepts of probability and their application to data analytics.
- Perform basic descriptive and inferential statistics to include (but not limited to) measures of central tendency and dispersion, confidence intervals, and hypothesis tests.
- Describe the basic tenets central to designing and developing a quality database and be able to understand the role databases play in storing complex data.
- Differentiate between the various types of predictive analytical techniques that exit, and successfully apply each one to a data set and interpret the results.
- Apply the fundamental concepts of data visualization to create meaningful displays of data.
- Evaluate a research question, develop testable hypotheses, and be able to apply the correct statistical technique(s) to derive an actionable insight.
- Efficiently and effectively communicate the results of a complex analysis to senior leadership in an organization.
The minimum requirements for a Master of Science in Data Analytics are:
- 18 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.
| Requirements | Hours |
|---|---|
| I. Program Prerequisites | 3 hours |
| The prerequisite to the MS/DA 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) | 15 hours |
| COM5469 Managerial Communication | 3 hours |
| MGT6460 Applied Business Analytics | 3 hours |
| MGT6785 Applied Predictive Analytics | 3 hours |
| MGT6790 Applied Database Management | 3 hours |
| MGT6795 Applied Storytelling & Visualization | 3 hours |
| III. Electives (5000/6000 levels) | 9 hours |
| Business Administration Electives | 9 hours |
| (Selected from courses with the following prefixes: ACC, BUS, ECO, FIN, MGT, MIS & MKT) | |
| Total | 30 hours |
Degree Plan Requirements
9hrs
Prerequisites & Required Graduate Studies
15hrs
Major Requirements
9hrs
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 - Data Analytics
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