ماجستير العلوم في التحول الرقمي والابتكار

This course provides students with the theoretical foundations and practice of the IT architecture and Digital Business Models. The course presents the fundamentals of the design, selection, implementation, and management of enterprise IT applications, infrastructures, and their fit with the business. This course focuses on the integration of information systems in organizations, the process by which different computing systems and software applications are linked together physically or functionally. Students learn enterprise architecture frameworks and strategies for infrastructure management, enterprise information architecture models, information governance, data and content management, cloud computing, and new trends in dynamic warehousing and business analytics.

This course equips students with the critical skills and knowledge necessary to lead and manage digital transformation in organizations. Throughout this course, students will explore the intricacies of digital transformation, including the integration of digital technology into all areas of a business, fundamentally changing how you operate and deliver value to customers. The course also covers range of essential topics, such as digital strategy formulation, digital leadership, change management, digital business models, and the role of data and analytics in decision making, the digital customer experience, digital culture, and organizational change. Through lectures, case studies, and hands-on projects, students will gain a deep understanding of the strategies behind successful digital transformation and develop the ability to implement these strategies effectively.

This course introduces the Business Process Management lifecycle. It explores the innovative applications of automation and machine learning technologies to streamline business processes, identify inefficiencies, enhance operations through preventive measures, and drive organizational growth. Students will learn how to model business processes using Business Process Modeling Notation (BPMN), qualitatively and quantitatively analyze business processes to identify and implement redesign opportunities, deploy process mining, and process predictive monitoring to identify inefficiencies and take preventive actions, identify opportunities for automation, and use Robotic Process Automation (RPA) to innovate business operations.

This course provides a comprehensive introduction to Business Intelligence (BI), equipping students with essential skills to design and implement impactful BI solutions. In the first part, students will learn descriptive analytics, including data warehouse design, ETL processes, and creating interactive dashboards to visualize business performance. These skills will provide a strong foundation for understanding how data can drive decision-making. The second part focuses on predictive analytics and Data Science techniques, such as regression, classification, clustering, and time series analysis, helping students uncover trends and make data-driven predictions. Additionally, students will explore process mining techniques to analyze and improve business processes. Throughout the course, emphasis is placed on effectively communicating insights, leveraging Big Data analytics tools, and using BI to drive strategic decision-making and foster digital transformation.

This course introduces students to Big Data technologies and advanced ML and AI algorithms for managing large-scale digitalization in a hyper-connected world. Students will explore platforms like Hadoop, Spark, and Linked Big Data, learning to store, process, visualize, and analyze vast datasets. They will also apply AI techniques like Deep Learning, Genetic Algorithms, NLP, and Generative AI to uncover patterns, automate systems, and tackle real-world challenges across healthcare, business, and security. The course equips students with the skills to integrate AI and Big Data for strategic, data-driven decision-making, emphasizing the importance and relevance of these technologies in today's world.

This course explores the fundamental principles of the Blockchain technology and how it can be leveraged to enable digital transformation. It will introduce students to the applications of this potentially disruptive technology not only to financial services but also to other sectors such as supply chain management, shipping, and government. It will also address information systems management concerns and the implications of security and governance. Topics covered include Blockchain fundamentals, centralized and decentralized applications, Blockchain ecosystem, applications of Blockchain technologies, smart contracts, Blockchain protocols and consensus, Blockchain development platforms and APIs, cryptography and Blockchain security, Blockchain governance, limitations, and future challenges.

This course introduces both quantitative and qualitative methods for collecting and analyzing data to discover new knowledge. Applying research processes and information retrieval principles, the focus is on framing queries and defining investigable questions. Understanding the nature of complex problems and evaluating existing knowledge through critical and systematic analysis will identify relevant knowledge and knowledge gaps. Students will propose how these may be addressed using suitable methods such as case studies, experimentation, survey, and field studies. Along with general research concepts, the concept of analytics and methods for creating knowledge and discovery of information in datasets and other digital resources will be introduced.

This course involves the conduct of research appropriate to the sub-specialization of the student in the general domain of Information Systems Technology Management and Digital transformation. Students are required to develop and defend a comprehensive research thesis that demonstrates original contributions to the field, adheres to internationally recognized academic standards, and effectively communicates findings through a formal written report and oral presentation. This course also aims to equip students with essential research-related skills, including advanced technical writing, effective oral presentation techniques, and rigorous analytical methods. By the end of the course, students are expected to demonstrate proficiency in structuring and articulating complex ideas, critically evaluating existing literature, and employing appropriate methodologies to address research questions in their chosen field.

This course provides a framework for understanding the process of creating and managing technologically innovative organizations. It focuses on the skills necessary for the planning, analyzing, developing, and launching of technologically enhanced entrepreneurial and innovative ventures. The material covered includes the foundations of entrepreneurship, techniques for creative thinking, and processes for developing, planning, and launching a new venture including protecting intellectual property, evaluating markets, developing innovative business models, budgeting, and raising finance. A major piece of assessment is the development of an innovative business plan using innovative technology for a new venture.

This course aims to introduce students to important issues within the domain of Digital Transformation and Innovation that is not covered by established courses. Students will research and discuss cutting-edge topics in digital transformation. Content will vary, as this course is a means for classes to explore certain DT-related topics in depth.

This course provides an in-depth understanding of information security management, focusing on the development of an effective security program through the application of ISO/IEC 27001 standard. It includes the implementation of comprehensive contingency plans, detailed assessment of security risks, and the formulation of policies and security initiatives that align with organizational objectives as governed by top management. The course emphasizes practical application of industry standards, particularly ISO/IEC 27001, to implement necessary controls, prepare for ISMS audit, and evaluate the effectiveness of a security program using performance measurements.

This course introduces students to the concepts, standards, and components of the Internet of Things (IoT) technologies. It provides students with an overview of the main trends and challenges in the Internet of Things, models and applications. The course emphasizes the implications of the Internet of Things applications and services. It gives both practical examples and general knowledge about the Internet of Things, architectures, models, applications. The course discusses future emerging wireless technologies and their applications in the context of digital transformation.