Data Analytics M.S.

The M.S. in Data Analytics extends the concepts in systems analysis and information systems management to the tools, concepts, and processes used to collect, analyze, store, and support organizational decisions from external information sources. Taught by experienced faculty, the program gives students actionable insight that provides a real competitive advantage in a data-driven world.

Degree Requirements and Courses

View Guided Curriculum

• INFS6010 Decision Support Systems
• INFS6510 Introduction to Data Analytics
• INFS6240 Database Management Systems
• INFS6720 Data Mining
• INFS6730 Data Integration for Analytics
• INFS6241 Big Data Technologies
• CYMS6210 Defending and Securing Networks
•  INFS/CYMS6000-7000 Level Elective
•  INFS/CYMS6000-7000 Level Elective
•  INFS/CYMS6000-7000 Level Elective
• INFS7000 Program Outcomes Assessment (0 credits)

Program Learning Outcomes

Through your course work, you will learn how to:

• Understand and apply the process of decision-making and use decision support tools to
  facilitate decision-making in organizations.
• Understand and apply database technologies, design, modeling, and SQL to the solution
  of business problems.
• Apply network security defense tools to protect data at rest and data in transit by
  leveraging cybersecurity strategies.
• Evaluate and apply various data analytics software tools and concepts to develop
  enterprise reporting, data visualizations, and executive dashboards for transforming and
  analyzing big data.
• Evaluate and apply various data analytics software tools and concepts for model
  development and evaluation.
• Compare and contrast the statistical techniques behind the wide variety of data mining
  algorithms and apply data mining tools and techniques to various business, scientific,
  and social problems.

Admissions, Tuition, and Scholarship Information

• Prospective students should have an undergraduate GPA of 2.75 and above with a degree in computer science, information systems, mathematics, software engineering, or related fields.
• Students from other fields are welcome to apply, but should note that some experience with introductory statistics is recommended.

Contact Us

Natalya G. Bromall, Ph.D.

Director, CIS Graduate Programs 
Professor of Computer and Information Systems

Email: bromall@rmu.edu 
Phone: 412-397-6435 
Office Wheatley Center 305

Jamie L. Pinchot, D.Sc.

Department Head, Computer and Information Systems
Professor of Computer and Information Systems

Email: pinchot@rmu.edu
Phone: 412-397-6050 
Office: Wheatley Center 309