MSITM - Information Technology Management Concentration

Students in this track are required to take the following seven courses offered by the College of Business. Please check with the College of Business for addtional details and information.

  1. ISM 6026 Management of Information Systems and Technology
  2. ISM 6316 Information Technology Project and Change Management
  3. ISM 6328 Management of Information Assurance and Security
  4. ISM 6368 Enterprise Information Technology Service Management
  5. ISM 6508 Electronic Commerce and Internet Business Applications
  6. ISM 6509 Information Technology Sourcing Management
  7. GEB 6215 Graduate Business Communication Applications

Students must take one elective from the following Information Technology and Operations Management (ITOM), College of Business courses:

  1. ISM 6405 Advanced Business Analytics
  2. ISM 6136 Data Mining and Predictive Analytics
  3. ISM 6555 Social Media and Web Analytics
  4. ISM 6058 Mobile Apps for Business
  5. QMB 6303 Data Management and Analysis with Excel

In addition, students need to take three electives (two electives for students entering Fall 19 and later) from the following courses offered by the College of Engineering and Computer Science::

  1. CAP 5615 Introduction to Neural Networks
  2. CAP 6315 Social Network and Big Data Analytics
  3. CAP 6411 Foundations of Vision
  4. CAP 6673 Data Mining and Machine Learning
  5. CAP 6776 Information Retrieval
  6. CAP 6807 Computational Advertising and Real-Time Data Analytics
  7. CEN 5035 Software Engineering
  8. CEN 5086 Cloud Computing
  9. CEN 6027 Software Maintenance and Evolution
  10. CEN 6076 Software Testing
  11. CEN 6085 Software Architecture and Patterns
  12. CIS 6370 Computer Data Security
  13. CNT 5109 Sensor Networks and Smart Systems
  14. CNT 6517 Mobile Computing
  15. COP 5339 Object-Oriented Software Design
  16. COT 5930 Topics in Computer Science
  17. COP 6731 Theory and Implementation of Database Systems
  18. CTS 6319 Cyber Security: Measurement and Data Analysis