Master of Science in Digital Transformation

1503630

Digital Technology, Innovation and Leadership

3

Prerequisite:

Grad Standing.

The course provides students with the cutting-edge knowledge and skills in leading and managing digital transformation initiatives in organizations. The course covers advanced concepts in digital transformation, including digital products, digital tools and technologies, disruptive technologies, digital innovation, and digital business models. Additional concepts covered include leadership types and characteristics, digital strategies, managing digital assets, and alignment of digital initiatives with organizational goals. The course prepares students to be leaders of digital transformation projects by equipping them with the necessary knowledge and experience through practical cases and projects undertaken in small groups, benchmarked with the best industry practices and success stories.

1503631

Data Management and Analytics

3

Prerequisite:

Grad Standing.

This course introduces students to the fundamental principles and practices of data management and analytics, equipping them with the skills to collect, store, process, analyze, and visualize data effectively. Students will explore the entire data lifecycle, from data acquisition and cleaning to advanced analytics techniques and decision-making. The course covers key topics such as database design, SQL, data warehousing, big data technologies, and data governance. Students will also gain hands-on experience with popular data analytics tools (e.g., Power BI and Rapid Miner).

1503635

Digital Product Development, Compatibility and Compliance

3

Prerequisite:

Grad Standing.

This course introduces students to the foundation of digital product development focusing on the design, develop, and launch digital products in dynamic environments. Emphasis is also on compatibility across platforms and compliance with global standards and regulations. Students will explore methodologies, and tools used in digital product development while considering usability, sustainability, privacy, security, and ethical considerations.

1503637

Artificial Intelligence for Digital Transformation

3

Prerequisite:

Grad Standing.

This course covers fundamental and advanced concepts and techniques in the field of artificial intelligence for digital transformation. The main topic list includes intelligent agents, uninformed and informed search, adversarial search, constraint satisfaction problem, and uncertain knowledge and reasoning, which covers Bayesian Networks, and Decision Networks. In addition, advanced topics will include machine learning, reinforcement learning, natural language processing (or vision/robotics), deep learning, large and small language models, context-aware AI models and AI agents. The topics will also cover the process and frameworks for the integration of AI digital tools into digital transformation process.

1503670

Research Methods in Digital Transformation

3

Prerequisite:

Grad Standing.

The research methods course provides a comprehensive foundation of designing and developing research projects. It covers topics such as introduction to research in digital transformation, design thinking, project lifecycle, data collection and analysis techniques, proposal development, dissemination of research findings, emerging trends in digital transformation. In also provides knowledge and skills required to develop a well-structured research proposal. Students will collaborate closely with industry mentors who propose live, real-world projects. By the end of the course, students are expected to produce a detailed project/thesis proposal, demonstrating a clear understanding of the problem, its significance, and a roadmap for execution. This proposal lays the groundwork for the thesis or dissertation to be developed in subsequent stages of their academic journey.

1503690

Thesis(Dissertation)

9

Prerequisite:

Grad Standing.

This is a compulsory capstone course, serving as the program's final component, and allowing an extended independent study and research. The primary goal of the course is to provide the student with an opportunity to conduct an independent investigation of a digital transformation process and framework with an application in a specific problem of a selected sector through self-directed discovery and experiential learning process. It draws on various components of the program, most notably the quantitative and research methodologies. Additionally, students will benefit from personalized supervision by an academic supervisor, ideally along with an industry advisor who is expected to have a domain knowledge in the selected sector. The course is spread over two semesters. In semester 1, the student is expected to identify project, carry out a comprehensive literature review to identify the gap, and subsequently aim and objectives, and write the proposal along with the research methodology whereas the student will be developing the proposal project by following the research methodology defined. The student is then required to submit a final thesis documenting the research and defend the work in front of a committee

1503633

Emerging Digital Technologies and Innovation

3

Prerequisite:

Grad Standing.

This course provides an in-depth exploration of emerging digital technologies and their impact on innovation across industries. Students will examine the latest technologies such as Artificial Intelligence (AI), Blockchain, Internet of Things (IoT), 5G, Augmented Reality (AR), and others, and learn how these innovations are transforming businesses, society, and everyday life. The course combines theoretical foundations with practical case studies to help students understand the strategic and operational challenges and opportunities these technologies present.

1503639

Change Management and Digital Transformation

3

Prerequisite:

Grad Standing.

This course focuses on the intersection of change management principles and the processes of digital transformation within organizations. Students will explore strategies for leading and managing change in the face of technological disruption, including fostering a culture of innovation, overcoming resistance, and aligning organizational goals with digital initiatives. Topics include frameworks for successful change, stakeholder engagement, and the role of leadership in driving transformation. By examining case studies and best practices, students will develop the skills to navigate the complexities of change in a digitally evolving landscape and enable sustainable organizational growth.

1503641

Cybersecurity, Privacy, and Data Governance

3

Prerequisite:

Grad Standing.

This course equips students with cybersecurity tools for building a secure digital transformation platform to enhance data privacy, data governance, and information security in digital ecosystems. Through a blend of theoretical concepts and hands-on exercises, students will study the recent Cybersecurity concepts for securing digital data manipulation and achieve data privacy and governance with the used security tools. The final weeks emphasize real case studies for cybersecurity attacks, challenging students to use different information security tools and techniques to detect these types of attacks and improve the security of an existing digital transformation platform. By the end of the course, students will have a solid foundation in Cybersecurity tools and methodologies for improving the privacy of the digital transformation platforms, enabling them to handle data governance efficiently.

1503643

Digital Transformation Use Cases in Industry

3

Prerequisite:

Grad Standing.

This course explores the transformative impact of digital technologies across various industries, focusing on real-world use cases and practical applications. Students will examine how organizations leverage technologies such as artificial intelligence, cloud computing, IoT, blockchain, and data analytics to optimize operations, enhance customer experiences, and drive innovation. Key topics include digital strategy development, change management, and the challenges of scaling digital solutions. By the end of the course, students will gain insights into the best practices for implementing digital transformation initiatives and develop the skills needed to assess and apply these technologies effectively in a business context.

1503660

Blockchain and Distributed Ledger Technology

3

Prerequisite:

Grad Standing.

This course covers blockchain and distributed ledger systems' applications, technical foundations, and industry transformation possibilities. The graduate course covers decentralization, cryptography, consensus mechanisms, and smart contracts to teach students how blockchain works and how it builds trustless networks. Key themes include blockchain architecture, distributed ledger platforms, governance models, scalability issues, and integration with IoT and AI. Students will critically analyse banking, supply chain, healthcare, and government use cases, considering ethical, regulatory, and security issues. Through hands-on exercises and project work, participants will learn how to build and deploy blockchain systems, evaluate their suitability for diverse organisational contexts, and solve scalability, interoperability, and energy consumption issues. By the end of the course, students will learn how to design, lead, and deploy blockchain-enabled solutions that drive digital transformation and value modern organisations.

1503665

Advanced Digital Transformation Tools

3

Prerequisite:

Grad Standing.

This course comprehensively examines advanced tools and methodologies that facilitate digital transformation across various industries. The course encompasses digital tools for automation at the enterprise level, data analytics, artificial intelligence, cloud computing, blockchain, and the Internet of Things (IoT). Students will analyse case studies from diverse sectors, assessing the influence of these tools on organisational processes, customer engagement, and decision-making.

Through a combination of theoretical frameworks and practical experience, participants will acquire expertise in implementing digital transformation initiatives, managing change, and measuring the success of technology-driven projects. The course examines ethical considerations, cybersecurity challenges, and sustainability within the framework of digital transformation.

Upon completion of the course, students will possess the competencies necessary to lead and manage transformative digital strategies within dynamic and complex organisational contexts.

1503655

Digital Transformation with Mobile App Development

3

Prerequisite:

Grad Standing.

This course introduces mobile app development using Flutter, focusing on building high-performance, cross-platform applications for business growth and digital transformation. Students will learn the fundamentals of Flutter and Dart programming, including UI design, data integration, API connections, and security features. The course emphasizes practical development and explores how mobile solutions enhance customer engagement, optimize business processes, and support digital strategies. Through case studies and a capstone project, students will develop user-centric prototypes and evaluate their impact on business innovation and competitiveness.