Master of Information Technology Management
Student must complete 36 credit hours
Speciality Requirements Student must complete 18 credit hours
| Course Code | Course Name | Credit Hours | Prerequests |
|---|---|---|---|
| 464600 | Introduction to Digital Transformation | 3 |
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| This course offers a comprehensive overview of digital transformation and its significance in modern industries. it covers the principles and technologies driving the fourth industrial revolution and their applications for improving performance, efficiency, and innovation. students will learn to analyze and evaluate digital transformation strategies and develop technology-driven solutions aligned with organizational goals. the course also examines the impact of digital technologies on traditional business models and the development of new, technology-based models. | |||
| 464601 | Data Analysis: Theory and Practice | 3 |
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| This course introduces the theoretical and practical aspects of data analysis methods and tools. students will gain a thorough understanding of data analysis techniques and their application in various fields. topics include data collection, cleaning, organization, and analysis using statistical methods, machine learning, and graph-based approaches. emphasis is placed on advanced software tools for data analysis and visualization, as well as practical applications in real-world scenarios. | |||
| 464602 | Introduction to Data Mining and Applications | 3 |
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| This course provides a foundation in data mining principles and techniques, with a focus on their applications across fields such as business, marketing, healthcare, and technology. students will learn how to use data mining tools to discover patterns and extract valuable insights from large and complex datasets. the course emphasizes analytical approaches to support data-driven decision-making. | |||
| 464603 | Business Intelligence Management | 3 |
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| This course introduces advanced computing techniques essential for modern business decision-making. it covers business intelligence and analytics methods alongside knowledge management, interactive data visualization, and reporting tools to support informed decision processes. | |||
| 464604 | Strategic Management in Digital Enterprises | 3 |
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| This course explores strategic management concepts and practices within digital enterprises, with a focus on the global shift towards industry 4.0 and digital transformation. students will learn how to develop and implement effective strategies to lead organizations in dynamic digital environments. the course emphasizes competitive analysis, opportunity identification, and the creation of innovative strategies to gain a competitive edge, while leveraging data and analytics for strategic decision-making. | |||
| 464605 | Research Methods | 3 |
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| This course provides students with essential knowledge and skills for conducting scientific research systematically and effectively. topics include formulating research questions, data collection and analysis methods, and presenting results. students will learn how to design and execute research studies, review academic literature, and evaluate prior studies. emphasis is placed on academic writing and professional presentation of findings. | |||
| 464698 | Comprehensive Exam | 0 |
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| This capstone course evaluates the knowledge and skills acquired by master's students in information technology throughout their program. the exam is a critical milestone to assess readiness for academic and professional challenges in the it field. it includes theoretical and practical questions spanning core it topics. students are expected to demonstrate deep understanding, critical analysis, and the ability to apply theoretical knowledge to real-world problems. the exam may also include project presentations or case studies. successful completion signifies mastery of it concepts and readiness for advanced professional or academic paths. | |||
Speciality Optional Requirements Student must complete 18 credit hours
| Course Code | Course Name | Credit Hours | Prerequests |
|---|---|---|---|
| 464650 | Artificial Intelligence and Data Science | 3 |
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| This course provides students with a comprehensive understanding of artificial intelligence (ai) and data science. it covers both theoretical foundations and practical applications, with a focus on how these technologies are applied across various industries. students will learn how to leverage ai techniques for data analysis, pattern recognition, and insight generation, as well as explore machine learning (ml) models to solve complex problems. the course emphasizes ai-powered data science tools and techniques for efficient data collection, analysis, and visualization. | |||
| 464651 | Cloud Computing and Big Data | 3 |
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| This course equips students with knowledge and practical skills in cloud computing and its integration with big data technologies. it covers theoretical and applied aspects of these technologies and their transformative impact on it and businesses. students will learn how to utilize cloud platforms for efficient data storage and management, and how to apply big data analytics tools to extract insights for data-driven decision-making. security and privacy in cloud environments, as well as challenges related to big data, are also addressed. | |||
| 464652 | Information Systems Security | 3 |
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| This course introduces key concepts and issues related to information systems security. topics include security policies for data and system protection, types of cyberattacks, associated risks, and defense mechanisms. the course also covers encryption technologies, secure communication protocols, and emerging cybersecurity techniques. | |||
| 464653 | Human Computer Interaction (HCI) | 3 |
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| This course offers an in-depth exploration of the principles and practices of human-computer interaction. students will learn how to design and evaluate user-friendly, efficient, and engaging systems and applications. emphasis is placed on understanding user needs and behaviors to create innovative, intuitive interfaces. the course also covers research and evaluation methods in hci, alongside psychological theories and models that shape user experience design. students will apply hci concepts and tools to design, develop, and evaluate interfaces that enhance user experience. | |||
| 464654 | Blockchain and Its Applications | 3 |
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| This course introduces the foundational concepts and evolution of blockchain technology and cryptocurrencies. it explores diverse applications in business environments, particularly smart contracts, initial coin offerings (icos), and decentralized autonomous organizations (daos). | |||
| 464655 | E-Business | 3 |
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| This course provides a thorough understanding of e-business concepts and applications in the digital era. it examines both theoretical and practical aspects, including e-commerce, e-services, and the impact of digital technologies on traditional business models. students will learn how to design and implement e-business strategies that enhance organizational efficiency and innovation. the course emphasizes e-business models and strategies, supplemented by case studies across various sectors. | |||
| 464656 | Ethics and Data Privacy in Information Systems | 3 |
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| This course examines ethical and privacy challenges arising from the rapid growth and integration of information technologies into everyday life. topics include privacy, intellectual freedom, copyright and licensing, system reliability, and the broader social and individual impacts of it. | |||
| 464657 | IT Project Management | 3 |
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| This course provides students with the knowledge and tools required to manage technology-driven projects effectively and sustainably, from planning to completion. it covers fundamental principles and best practices in project management, with an emphasis on the unique challenges of it projects. topics include project scope definition, scheduling, cost management, quality assurance, and risk management. the course also highlights the importance of collaboration and stakeholder communication. students will evaluate project proposals and analyze real-world case studies. | |||
| 464658 | Data Governance and Auditing | 3 |
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| This course introduces the concept of data governance and its importance in effective data management. it covers the processes of acquiring, storing, retrieving, securing, and deleting data, ensuring efficiency and reliability throughout the data lifecycle. the course also addresses data ownership, access permissions, and accountability in case of data breaches or errors. | |||
| 464661 | Risk Management in Digital Enterprises | 3 |
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| This course explores strategic management concepts and practices within digital enterprises, with a focus on the global shift towards industry 4.0 and digital transformation. students will learn how to develop and implement effective strategies to lead organizations in dynamic digital environments. the course emphasizes competitive analysis, opportunity identification, and the creation of innovative strategies to gain a competitive edge, while leveraging data and analytics for strategic decision-making. | |||