Data Analytics B.S.

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Availability
Available - On Campus

The B.S. in Data Analytics degree program focuses on the collection, analysis, application, and management of data to make better decisions. The program focuses on creating and managing information systems in ways that promote effective decision making, increased employee productivity, and optimal service of an organization's information needs. Students gain the actionable insight that will provide real competitive advantage in a data-driven world. With the 4+1 integrated degree program, students can go on to earn their M.S. in Data Analytics with only one additional year of study.

Graduates go on to work in aerospace, banking, computer systems design, financial, government, and insurance. Jobs include computer programmer, investment banker, network administrator, software designer, and systems analyst.

Contact Information

Dr. Jamie Pinchot
Department Head, Computer and Information Systems
Professor of Computer and Information Systems
Email: pinchot@rmu.edu
Phone: 412-397-6050

Degree Requirements and Courses

The Bachelor of Science in Cybersecurity degree consists of 120 credit hours of coursework. The study plan below is for guidance only. Always review your individual check sheet for your degree requirements.

View Guided Curriculum

Courses

Major Credits - 66 Credits Required (Minimum grade of "C" must be earned for each course)

  • INFS2020 Operating Systems
  • INFS2150 Introduction to Web Development
  • INFS2470 Decision Support Systems
  • CYBS3170 Cyberlaw
  • INFS3220 Systems Analysis Design
  • INFS3230 Computer Networking
  • INFS3235 Network Security
  • INFS3450 Discrete Mathematics for Computing
  • INFS3510 Introduction to Data Analytics
  • INFS3710 Knowledge Management
  • INFS4240 Database Management Systems
  • INFS4260 Data Integration for Analytics
  • INFS4370 IT Governance & Ethics
  • INFS4630 Introduction to Geographic Information Systems
  • INFS4810 Project Management
  • INFS4860 Program Outcomes Assesment
  • MATH2040 Finite Math and Calculus
  • ACCT20230 Introduction to Financial Accounting
  • ACCT2060 Managerial Accounting
  • FINA3000 Principles of Finance
  • BLAW1050 Legal Environ of Business I; or MARK2000 Principles of Marketing
  • BLAW1050 Legal Environ of Business I; or MGMT2000 Management Theory and Practice

RMU Core Courses - 39 Credits
Open Electives - 15 Credits

Admissions and Tuition Information
Scholarships, Professional Opportunities, & Student Organizations

Scholarships, internships and professional opportunities are available throughout the program.

Meet the Faculty

The School of Informatics, Humanities and Social Sciences faculty is a team of dedicated teacher-scholars, award-winning artists, practitioners, and academics who are committed to your long-term success.

Meet the Faculty

Contact Us

Wu, Peter Y. Dr. Jamie Pinchot

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

Email: pinchot@rmu.edu
Phone: 412-397-6050

Sample Courses:

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

Data Warehousing
Knowledge Management
Database Management System
Major Credits
63
Information Science, Business Law, Marketing
Core Credits
39
Communication Skills, Economics, Humanities, History, Sciences, etc.
Elective Credits
18

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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. 

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