Program Overview

Master of Science in Information Technology and Management

The Master of Science in Information Technology and Management (MS ITM) degree requires a minimum of 36 semester credit hours, consisting of business core courses, IT core courses, IT elective courses, and free electives.

Degree Requirements

The business core courses are designed to provide incoming students with the context to better appreciate and understand the complex issues that occur at the interface between IT and business. The IT core courses cover the essentials of IT knowledge and the IT elective courses provide in-depth knowledge of the technology and technology management issues. In addition, students may choose approved electives that maximize their individual educational and professional goals.

Course Requirements

• Business Core Courses: minimum of 9 semester credit hours from the following
  • ACCT 6305 Accounting for Managers
  • FIN 6301 Financial Management
  • MECO 6303 Business Economics
  • MKT 6301 Marketing Management
  • OPRE 6301 Quantitative Introduction to Risk and Uncertainty in Business
  • OPRE 6302 Operations Management
  • OB 6301 Organizational Behavior
• IT Core Courses: 12 semester credit hours
  • MIS 6316 Data Communications
  • MIS 6323 Object Oriented Programming
  • MIS 6326 Data Management
  • MIS 6308 Systems Analysis and Project Management
• IT Electives: 9 semester credit hours
  • Choose 9 semester credit hours from the following list of courses that have an MIS prefix, excluding MIS 6204 and MIS 6320
    • MIS 6302 Information Technology Strategy and Management
    • MIS 6309 Business Data Warehousing
    • MIS 6311 Cybersecurity Fundamentals
    • MIS 6317 Healthcare Informatics
    • MIS 6319 Enterprise Resource Planning
    • MIS 6324 Business Analytics with SAS
    • MIS 6330 Information Technology Security
    • MIS 6332 Advanced ERP: Configurations
    • MIS 6334 Advanced Business Analytics with SAS
    • MIS 6338 Accounting Systems Integration and Configuration
    • MIS 6344 Web Analytics
    • MIS 6345 High Performance Analytics
    • MIS 6346 Big Data Analytics
    • MIS 6356 Business Analytics with R
    • MIS 6357 Advanced Business Analytics with R
    • MIS 6360 Agile Project Management
    • MIS 6363 Cloud Computing
    • MIS 6364 Enterprise IT Architecture
    • MIS 6369 Supply Chain Software
    • MIS 6372 IT Services Management
    • MIS 6373 Social Media and Business
    • MIS 6378 Enterprise Systems and CRM
    • MIS 6380 Data Visualization
    • MIS 6V98 Information Systems Internship
• Free Electives: 6 semester credit hours
  • Any course from the set of IT electives may be used as a free elective
  • Any course from the set of business core courses, or any other graduate level business course, except MIS 6204 and MIS 6320 may be used as a free elective

Graduate Certificates

The program offers several graduate certificates, including:

• Graduate Certificate in Healthcare Information Technology
• Graduate Certificate in Enterprise Systems
• Graduate Certificate in Business Intelligence and Data Mining

Graduate Certificate in Healthcare Information Technology

The Graduate Certificate in Health Information Technology emphasizes practical concepts in healthcare IT and hands-on experience gained using electronic medical records (EMR) software. The focus will be on identification and understanding the key information required for managing and working with healthcare information systems.

Graduate Certificate in Enterprise Systems

The Graduate Certificate in Enterprise Systems emphasizes theoretical concepts in enterprise resource planning and hands-on experience using SAP software. It provides broad exposure to various SAP functional modules such as sales and distribution, supply chain management, customer relationship management, procurement, human capital management, accounting, and data warehousing.

Graduate Certificate in Business Intelligence and Data Mining

The Graduate Certificate in Business Intelligence and Data Mining provides students with an understanding of how to analyze large complex data sets in order to solve business problems. It emphasizes theoretical concepts and clinical knowledge associated with the design, delivery, and use of business intelligence and data mining techniques in organizations.

Faculty

The program is supported by a diverse faculty with expertise in various areas of information technology and management. The faculty includes professors, associate professors, assistant professors, clinical professors, and senior lecturers.