Data Analytics M.S.

Apply Today
Available - On Campus
Available - Online
Program Credits

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 must take two prerequisite courses at the undergraduate level, one in statistics and one in Python programming, before beginning the MS Data Analytics program. The prerequisite courses can be taken at RMU or another institution and include:
    • STAT 2110 Statistics or a similar course
    • INFS 3240 Python Programming or a similar course
  • 4+1 accelerated prospective students are encouraged to take the prerequisite courses as open electives to prepare them to begin the MS Data Analytics program.

Contact Us

Natalya G. Bromall, Ph.D.

Director, CIS Graduate Programs 

Professor of Computer and Information Systems


Phone: 412-397-6435 

Office Wheatley Center 305

Jamie L. PinchotJamie L. Pinchot, D.Sc.

Department Head, Computer and Information Systems

Professor of Computer and Information Systems


Phone: 412-397-6050 

Office: Wheatley Center 309

Sample Courses:

These are some of the classes for students in this academic program:

Data Mining
Data Warehousing
Geographic Information Systems

Top Employers

top employers

School of Data Intelligence and Technology

School of Data Intelligence and Technology

In the School of Data Intelligence & Technology, students are immersed in cutting-edge programs that prepare them for careers in a variety of rapidly evolving fields. 

Visit School Site