Information Technology, M.S.

Program Description:

The MS in Information Technology degree program is designed for students who have earned a significant mastery of technical skills. The prospective student would like to achieve employment in higher levels of management or gain significant comprehension of technical business processes. Through rigorous academic coursework, the program will help the student gain the necessary skills to complement their experience and achieve the listed goals.

Program Goals:

Upon successful completion of the Master of Science in Information Technology, student will:

• Explain the concept of a business case and how a business case affects an IT project.  Effectively manage the project lifecycle: planning, scheduling, and monitoring phases, and provide appropriate reporting. Describe data and process modeling concepts and tools, including data flow diagrams, a data dictionary, and process descriptions. Apply the concept of user interface design and human-computer interaction, including basic principles of user-centered design.  Demonstrate an overall understanding of the systems analysis design process.
• Demonstrate an understanding of the development of facts into information.  Information into knowledge.  Knowledge into wisdom. Proficiency with reporting and Business Intelligence tools will cement the importance of these transformations.
• Demonstrate proficiency in an objective programming environment. 
• Examine the foundations of database management, data warehouses, and data abstraction.  Differentiate between database models and create properly normalized database tables and data structures. Retrieve data from transactional processing systems through proficiency in using Structured Query Language (SQL). 
• Demonstrate how to develop a relational database. 
• Understand, implement, and leverage generative AI in an organization, addressing ethical considerations and up-skilling the workforce for a competitive edge. Gain insights into AI governance, ethical guidelines, and regulatory compliance to develop and enforce responsible AI policies within an organization.
• Through real-world case studies develop essential skills in corporate governance, risk management, and compliance, covering board responsibilities, risk identification, and audit practices through real-world case studies.

Credit Hours: 36