Jul 18, 2024  
2020-2021 Shepherd University Catalog 
2020-2021 Shepherd University Catalog [ARCHIVED CATALOG]

Data Analytics and Information Systems, M.S.

Return to {$returnto_text} Return to: Colleges/Departments/Programs

The Master of Science, Data Analytics and Information Systems, is a 36 credit hour program that is interdisciplinary in nature, and is designed for students to utilize their understanding of data in the field of data analytics and in the computer-oriented study of information systems. The program develops students who have advanced capacity to derive knowledge from data, communicate an understanding of that knowledge, and to develop and manage computer information systems that are used in data analytics and other supporting areas. These include skills in data collection, preparation (“munging”), representation using mathematics, data analysis using custom or developed software, as well as storage and retrieval. This process involves selection of and processing with appropriate methods, development and analysis of algorithms in a modern distributed and cloud-based computing environment, and implementation in computer programming languages.

All students in the M.S. Data Analytics and Information Systems program take a 12-credit Data Science core and a 12-credit Information Systems core. The remaining 12 credits of electives and special topics courses provide students with opportunities to conduct research projects with their mentoring professors and internship projects to gain real-world experiences.

Program outcomes include:

  • Integrate components of data analytics to produce knowledge-based solutions for real-world challenges using public and private data sources.
  • Evaluate data management methods and technologies used to improve integrated use of data within the framework of information sciences.
  • Construct data files using advanced statistical and data programming techniques to solve practical problems in data analytics.
  • Develop team skills to ethically research, develop, and evaluate analytic solutions to improve organizational performance.
  • Evaluate machine learning methods and strategies for advanced data mining.

Curriculum for a Master of Science, Data Analytics and Information Systems, 36 Hours:

Total Credit Hours, 36 Hours:

Capstone Requirement, 3 Hours:

Choose one with advisor:


Elective Courses, 9 Hours:

In addition to the DATA and IS required courses (24 hours), and Capstone/Internship (3 hours), and in consultation with their advisor, students must complete 9 credits from any 500- or 600-level course in DATA or IS or from any of the following approved graduate courses:


  • No more than 9 credits of 599 coursework may be applied to the MS, Data Analytics/Information Systems degree.

Return to {$returnto_text} Return to: Colleges/Departments/Programs