Master of Science in Information Technology Management
The College of Information Technology offers the Master of Science in Information Technology Management program that produces graduates who have a thorough understanding of information systems and technologies such as Artificial Intelligence along with relevant management, communication, and decision-making skills. Students learn how to strategically manage technology-driven transformation, integrate information systems technology expertise and management skills to effectively implement organizational solutions. This combination of advanced technical knowledge and management skills with organizational strategy put graduates of this program in a position to succeed as technology-driven IT leaders and technical experts.
Program Objectives
- Develop in-depth knowledge in Artificial Intelligence, information systems and technologies.
- Integrate information systems technology and Artificial Intelligence expertise with management and leadership skills to effectively implement organizational solutions.
- Lead AI-enabled and IT projects and take a major role in building tomorrow’s economy with the highest professional standards, ethical practice, and social responsibility by addressing safety, privacy, security, and sustainability.
- Improve professional skills and expand knowledge to support lifelong learning, continuous development and adaptability in a rapidly evolving technological and business environment.
Program Learning Outcomes
Upon successful completion of this program, students will be able to:
- Demonstrate advanced understandings of the complex body of knowledge that involve the different strategic AI and IT management and approaches.
- Evaluate in depth enterprise architectures, including AI-enabled systems, for developing and delivering products and services to the marketplace.
- Develop ethically project work or research that contributes significantly to the current business needs and compliant with cutting-edge technology.
- Develop enterprise-wide management skills related to AI, computing and Information Technology, and expand the knowledge for lifelong learning and professional development.
- Critically analyze, synthesize, and apply management information, data and analytics to solve complex AI-supported and technology-driven problems.
- Demonstrate advanced oral and written communication skills in a teamwork environment.
Degree Requirements
Required Credit Hours : minimum 30 hours
Core Courses
| Required Courses (6 hours) | Credit Hours | |
|---|---|---|
| ITCO601 | Current Emerging Trends in Information Technology | 3 |
| ITCO602 | Management and Leadership in Information Technology | 3 |
Specialization Courses
| Required Courses (12 hours) | Credit Hours | |
|---|---|---|
| ISBP631 | Managing Intelligent Information Systems | 3 |
| ISBP632 | Applied Data Mining | 3 |
| ISBP637 | AI Strategy and Governance | 3 |
| ISBP639 | AI for Digital Transformation | 3 |
Elective Courses
| Students should select one course - 3CH for Thesis option or two courses 6CH for Non-Thesis option (6 hours) | Credit Hours | |
|---|---|---|
| ISBP633 | AI Innovations and Entrepreneurship | 3 |
| ISBP634 | AI for Business | 3 |
| ISBP640 | Cybersecurity for AI and IT Management | 3 |
| ITPG698 | Special Topics in Information Technology | 3 |
Research Thesis
| Required Course (9 hours) | Credit Hours | |
|---|---|---|
| ITPG696 | Research Thesis IT | 9 |
Praticum Projract
| Required Course (6 hours) | Credit Hours | |
|---|---|---|
| ITPG697 | Informatics and Computing Practicum Project | 6 |
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