Overview, Definition, and Objectives
The Information Technology (IT) program is designed to prepare students for the dynamic and ever-evolving world of digital systems and networked environments. This field focuses on the application of computing technologies to collect, process, store, secure, and transmit information efficiently and effectively across diverse platforms and organizations.
The curriculum provides a balanced combination of theoretical foundations and practical experience. Core areas of study include computer networks, cybersecurity, database management, web technologies, cloud computing, data analytics, and IT project management. Students gain a comprehensive understanding of both hardware and software infrastructures that support today’s digital ecosystems.
The program emphasizes a hands-on and research-driven learning approach, encouraging students to engage in real-world projects and case studies under expert academic supervision. By adopting innovative teaching models—particularly Learning by Doing—students develop the ability to design, implement, and manage technological solutions that address complex challenges in business, education, government, and industry.
In addition to technical expertise, the curriculum highlights essential soft skills such as teamwork, communication, problem-solving, and ethical decision-making. Courses on IT ethics, digital responsibility, and information governance help students cultivate a sense of accountability and professionalism in managing information systems.
Overall, the IT program aims to develop graduates who are not only technically competent and innovative but also capable of applying information technologies responsibly to enhance organizational performance and societal well-being in a rapidly digitalizing world.
Prerequisite Courses
| Course Title | Credits |
|---|---|
| Research Methods and Presentation | 3 |
| Data Mining | 3 |
| Database Design | 3 |
| Strategic Management and Planning of Information Technology | 3 |
Core Courses
| Course Title | Credits |
|---|---|
| Foundations of Digital Transformation* | 3 |
| Emerging Technologies in Organizations | 3 |
| Data Analysis | 3 |
| Digital Business Models | 3 |
| Big Data Analytics | 3 |
| Business Analytics | 3 |
| Digital Customer Relationship Management | 3 |
| Business Process Reengineering | 3 |
Elective Courses (Sample List)
| Course Title | Credits |
|---|---|
| Digital Organizations and Information Systems | 3 |
| Design and Development of Digital Products | 3 |
| Digital Transformation Project Management | 3 |
| Digital Marketing | 3 |
| Digital Change Management | 3 |
| Statistical Data Analysis | 3 |
| Data Visualization | 3 |
| Deep Learning | 3 |
| Theoretical Foundations of Data Science | 3 |
| Internet of Things, Blockchain, Cloud Computing, Data Security and Privacy, etc. | |
Specialization Description
Key Educational and Research Areas
Artificial Intelligence (AI)
Internet of Things (IoT)
Big Data
Blockchain
Cloud Computing and Digital Services
Analysis of Traditional and Digital Processes
Designing a Digital Transformation Roadmap
Assessing Organizational Digital Readiness
Managing Change and Employee Resistance to New Technologies
Formulating Organizational Digital Strategy
Managing Digital Transformation Projects
Digital Economy and New Business Models
Architecture of Digital Systems
Data and API Integration
Security and Privacy in Digital Environments