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Master of Science in Digital Transformation and Innovation
Program Duration
Location
Credit Hours
Cost Per Credit Hour
4 Semesters (On Average)
Abu Dhabi & Dubai
30
AED 2,666
The Master of Science in Digital Transformation and Innovation at Zayed University is crucial for developing the expertise needed to navigate and lead in the era of digital transformation and emerging technologies. The program's alignment with the United Arab Emirates' national priorities for technology and innovation such as UAE Vision 2031, and the Fourth Industrial Revolution Strategy, the comprehensive curriculum to lead digital transformation and emphasis on cutting-edge technology and research, make it a vital stepping stone for professionals aiming to excel in the dynamic field of information systems.
Five reasons why you should enrol in Zayed University’s Master of Science in Digital Transformation and Innovation program:
1. Comprehensive Curriculum to Drive Digital Transformation: Stay ahead in the industry by acquiring the latest skill set and strategies to drive, oversee, and lead digital transformation within organizations.
2. Leverage Emerging Technologies: Discover how to strategically utilize disruptive technologies such as artificial intelligence, big data, data science, Internet of Things and blockchain to innovate and streamline business operations to create value for customers.
3. Navigate Legal and Regulatory Frameworks: Learn how to evaluate global, ethical, social-technical, and legal considerations surrounding information systems and emerging technologies, and formulate strategies to effectively manage IT solution implementation and integration.
4. Research and Innovation Opportunities: Elevate your professional profile by collaborating with expert faculty and industry partners on cutting-edge research projects, demonstrating your commitment to staying at the forefront of digital transformation.
5. Enhanced Employability and Career Prospects: Alignment between the United Arab Emirates' strategic vision and program ensures that you are equipped with the leadership skills and knowledge that are in high demand in both the public and private sectors.
Connect with Dr. Feras Al-Obeidat, Graduate Program Coordinator, Master of Science in Digital Transformation and Innovation, and explore how this master’s degree program aligns with your academic and career aspirations and more particularly helps you develop strategic leadership skills to position yourself for success in the global technology landscape.
Upper level management and other career opportunities in industry sectors such as business, construction, health care, wholesale/retail, energy, finance and economics, aviation, manufacturing, telecommunications, public services (law enforcement and security), etc. will continue to emerge in the years ahead. Being an expert in transforming businesses, graduates will be in high demand across the emerging startup culture. Typical roles for graduates immediately following degree completion include the following:
The Master of Science in Digital Transformation and Innovation curriculum design combines rich research-oriented and strong skill-based components to provide students with advanced theoretical knowledge and marketable practical skills. The program takes a multidisciplinary approach and offers students a chance to acquire skills and expertise in some of the world’s most rapidly growing fields, such as digital transformation, artificial intelligence, Internet of Things, blockchain, big data, business intelligence, and information management.
The Master of Science in Digital Transformation and Innovation program, which is offered in both campuses, is enabled by state-of-the-art computer and laboratories supporting many of the courses through hands-on labs and projects, combining the best of breed in hardware and software platforms. The aim is to give students a first-hand experience with many of the technologies in demand today.
Required Program Courses (27 Credit Hours Required)
INS604 IT Architecture and Digital Business Models
INS612 Digital Transformation Strategy and Management
INS644 Business Process Modeling and Automation
INS636 Business Intelligence and Data Science
INS646 Artificial Intelligence for Big Data
INS654 Principles of Blockchain and Its Applications
INS601 Research and Knowledge Discovery
INS699 Research Thesis
Elective Courses (3 Credit Hours Required)
INS680 Technological Innovation and Entrepreneurship
INS655 Special Topics in Digital Transformation and Innovation
SEC620 Information Security Management
INS624 Architecture and Applications of Internet of Things Technologies
The Master of Science in Digital Transformation and Innovation is delivered in English over two years. Each year includes two regular semesters and one summer semester. The program accepts cohorts each semester on both the Abu Dhabi and Dubai campus.
Course Delivery Format
Courses are delivered in a full, 16-week semester. Each course meets once each week. Classes are generally scheduled on weeknights – Mondays through Thursdays – starting at 6:00 PM.
For more information on the Master of Science in Digital Transformation and Innovation application deadline and location for program delivery, please visit the Application Deadlines section of the website.
Courses in the Master of Science in Digital Transformation and Innovation program are taught by select professors from the College of Technological Innovation who are experts in their fields and possess diverse international research experience.
For more information on the Master of Science in Digital Transformation and Innovation program cost, payment procedure and financial support, please visit the Admissions and Fees section of the website.
INS604 IT Architecture and Digital Business Models (3 Credits)
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.
INS612 Digital Transformation Strategy and Management (3 Credits)
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.
INS644 Business Process Modeling and Automation (3 Credits)
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.
INS636 Business Intelligence and Data Science (3 Credits)
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.
INS646 Artificial Intelligence for Big Data (3 Credits)
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.
INS654 Principles of Blockchain and Its Applications (3 Credits)
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.
INS601 Research and Knowledge Discovery (3 Credits)
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.
INS699 Research Thesis (6 Credits)
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.
INS680 Technological Innovation and Entrepreneurship (3 Credits)
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.
INS655 Special Topics in Digital Transformation and Innovation (3 Credits)
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.
SEC620 Information Security Management (3 Credits)
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.
INS624 Architecture and Applications of Internet of Things Technologies (3 Credits)
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.
Program Recognition
Ministry of Higher Education and Scientific Research