Curriculum

The 30-credit Professional Master of Science in Information Technology Management (MSITM) program consists of coursework centered on information technology management.

Required Coursework - 10 Courses (30 credits):

College of Business Core Curriculum 6 Courses (18 credits)
4 Required Electives (12 credits):
- 2 courses (6 credits) from Department of Information Technology & Operations Management (ITOM)
- 2 courses (6 credits) from Department of Electrical Engineering & Computer Science (EECS)
  - Course offerings will vary based on availability.

College of Business - Core Curriculum (18 credits)

Management Information Systems and Technology (ISM 6026) (3 credits) Study and evaluation of information systems: types, development and use. Emphasizes understanding information systems in the context of managerial use, problems, and opportunities. *Microsoft Office 365; Microsoft Project
IT Project and Change Management (ISM 6316) (3 credits) Addresses key issues in managing information technology projects through a study of the project life cycle. Topics include planning and control, risk management, change management, portfolio management, and the use of project management software. *Microsoft Project
Management of Information Assurance and Security (ISM 6328) (3 credits) Introduces students to the various technical and administrative aspects of information security. Emphasis is on the management of information security efforts.
Web-based Business Development (ISM 6508) (3 credits) Develops skills for launching and managing web-based businesses. Students complete a business plan for starting an online business of their choice. Additional topics include evaluating current web-based business opportunities, online entrepreneurship, web-based venture financing and e-business operations.
Information Technology Sourcing Management (ISM 6509) (3 credits) Assists students in developing the knowledge and skills needed to work with IT service providers and processes. IT focuses on the concepts and methods associated with designing, planning, and contracting for IT infrastructure and applications
Communication Strategies for Business Professionals (GEB 6217) (3 credits) Course focuses on a semester-long project that links writing and speaking strategies to (1) critical thinking for problem analysis/solution and persuasive proposals and (2) research for decision making.

ITOM - Choose 2 Elective Courses (6 credits) from list below:

Advanced Business Analytics (ISM 6405)	An in-depth examination of business analytics methods of visualization, data mining, text mining and web mining, using various analytical tools. In a laboratory setting, investigates applications for smaller firms.
Blockchain and Crypto Assets: Digital Business Transformation (ISM 6455)	Digital transformations encompass all organizations, business sectors and society. This course provides a critical understanding of transformative technological innovations such as blockchain, cryptocurrency, NFT and other crypto products, and how they evolve business and society. Business strategies are discussed in the context of these innovations. Appropriate for all business disciplines.
Business Innovation with Artificial Intelligence (ISM 6427C)	Covers essential concepts and scope of Artificial Intelligence (AI) from a business perspective. Learn the theory of AI and building end-to-end pipelines. Understand how AI is used across a wide variety of businesses and industries. Learn how AI and Machine Learning models are built, how to apply AI to operations, marketing, customer relationship, and social media, and how to transform business through AI - strategy to organization to implementation.
Data Management and Analysis with Excel (QMB 6303)	Solve research and business problems by leveraging the most powerful productivity tool, Excel. Curation, management, analysis, and visualization of information and data are covered by using PowerView, Vlookup, charts, pivot tables, scenarios, functions, macro programming, etc.
Data Mining and Predictive Analytics (ISM 6136)	Introduces the core concepts of data mining (DM) and its techniques, implementation and benefits. Identifies industry branches that most benefit from DM, such as retail, target marketing, fraud protection, health care and science, and web and e-commerce. Detailed case studies and using leading mining tools on real data are presented.
Managing Artificial Intelligence Product Development (ISM 6426)	This course introduces students to the practical methodologies of managing the development cycle of artificial intelligence-based applications and services to enhance business success. By managing, designing and developing AI-native as well as adapting commercial applications that support low-code/no-code tools, the participants acquire the necessary knowledge to explore opportunities for automation using AI and to acquire applied knowledge of managing the AI product development and deployment.
Social Media and Web Analytics (ISM 6555)	Covers concepts and techniques for retrieving, exploring, visualizing and analyzing social network and social media data, website usage and clickstream data. Learn to use key metrics to assess goals and return on investment and perform social network analysis to identify important social actors, subgroups and network properties in social media.

EECS - 2 Elective Courses (6 credits) Required: Offerings will vary based on availability

Students must take two electives from graduate courses with prefixes CAP and CEN offered by the Department of Electrical Engineering and Computer Science (EECS). Your academic advisor will provide the specific course options available.