2023-2024 Graduate Catalog

Master of Science in Data Analytics

CIP: 110199

Program Description:

The Master of Science in Data Analytics program is designed for those who want to learn how to locate, extract, and transform data into meaningful information by using appropriate analytic tools. Students will learn to apply descriptive and prescriptive analytic techniques in order to inform data-driven business decisions. 

Program Outcomes:

Identify and evaluate moral and ethical issues in the analysis of data.

Select the appropriate analytic tools to perform data analytics to help make informed decisions.

Locate, extract, and transform raw data into more useful information.

Apply descriptive and prescriptive analytic techniques to business problems.

Construct and present compelling visuals to communicate a data-driven story.

Plan and execute a real-world project using the steps of the data analytics life cycle.

Admissions Requirements:

Bachelor’s degree from a regionally-accredited institution AND

Documentation of ONE of the following:

GMAT or GRE score (440/285) OR

3.25 Overall undergraduate GPA OR

3 years of full-time work experience OR

Master’s degree from a regionally-accredited institution with at least a 3.0 GPA

Research/Professional Component:

All graduate students must complete a research or professional development component as part of their requirements for graduation. Students in the M.S. in Data Analytics program will complete a professional development experience in the CSIS 44-688 Data Analytics Capstone course. 

Required Courses

CSIS 44608Data Analytics Fundamentals

3

CSIS 44609Practical Evaluation of Data

3

CSIS 44613Data Visualization

3

CSIS 44620Web MIning and Applied Natural Language Processing

3

CSIS 44630Continuous Intelligence and Interactive Analytics

3

CSIS 44632Business Intelligence and Analytics

3

CSIS 44661Databases for Analytics

3

CSIS 44670Applied Machine Learning

3

CSIS 44671Streaming Data

3

CSIS 44688Data Analytics Capstone Project

3

Total Credit Hours: 30