Information Systems Management Curriculum

The 30-unit master of information systems management program is available for both part-time and full-time students.

A 15-unit graduate certificate is also offered and can be transferred into the degree program at any time. The certificate focuses on the managerial and technical acumen required to lead an IT enterprise including governance, IT architecture and infrastructure, service delivery, data management strategy, risk management, and fundamentals of cybersecurity.

* These courses are required to earn a Graduate Certificate in Information Systems Management.

Required Courses (Choose 6)

  • Operational Excellence & Service Delivery* (T81-517)
  • IT Architecture & Infrastructure* (T81-540)
  • IT Governance & Risk Management* (T81-563)
  • Enterprise Data Management* (T81-575)
  • Introduction to Cybersecurity* (T83-559)
  • Capstone (T81-585)

Cybersecurity Emphasis (Choose 4)

  • Cybersecurity Technical Fundamentals (T83-560)
  • Oversight for Excellence Cybersecurity Management & Governance (T83-561)
  • Efficient and Effective Cybersecurity Operations (T83-562)
  • The Hacker Mindset: Cyber Attack Fundamentals (T83-567)

Management Emphasis (Choose 4)

  • Developing Leadership for Professionals (T54-582)
  • Human Performance in the Organization (T54-583)
  • Communication Excellence for Influential Leadership (T54-584)
  • Leadership for Technology Professionals (T81-570)

Applied Data Analytics and Machine Learning Emphasis (Choose 4)

  • Applications of Deep Neural Networks (T81-558)
  • Foundations of Analytics (T81-574)
  • Analytics Applications (T81-576)
  • Applied Data Science for Practitioners (T81-577)

Mathematical Data Analytics Emphasis (Choose 4)

Offered through Computer Science & Engineering Department for those with a STEM background

  • Mathematical Statistics (L24-494)
  • Optimization (E35-415)
  • Introduction to Artificial Intelligence (E81-511A)
  • Data Mining (E81-514A)
  • Machine Learning (E81-517A)
  • Introduction to Machine Learning (CSE 417T)

AI & Machine Learning Emphasis (Choose 4)

Offered through Computer Science & Engineering Department for those with a STEM background

  • Introduction to Artificial Intelligence (E81-511A)
  • Data Mining (E81-514A)
  • Introduction to Machine Learning (CSE 417T)
  • Machine Learning (E81-517A)
  • Advanced Machine Learning (E81-519T)

Bridge Course

  • Fundamentals of Information Technology (T81-506)

**This program qualifies as a STEM program.

Although certificate programs do not qualify for federal loan programs, loans are still available for the master's degrees. For more information, contact Johanna Sengheiser (jsengheiser@wustl.edu).