Master of Arts in Emerging Technology for Future Workforce [MA(ETFW)] (*Subject to the University's Approval)

Future of Work and Workforce Trends

This course offers a deep dive into the changing dynamics of the workplace and the various factors influencing workforce trends. It covers how technological innovations, global interactions, and shifts in demographics affect job roles and the work environment. Students will explore both current and emerging trends to better understand the competencies and approaches necessary for success in the evolving job market. Students will be able to analyze the impact of technological advancements on the workforce,

understand the effects of globalization and demographic shifts on work, and acquire the skills needed for future job markets and develop strategic responses to work-related challenges.

Emerging Technologies for Workforce Development

This course delves into the transformative impact of emerging technologies on workforce development. Students will explore how advancements in technology are reshaping industries, creating new job opportunities, and necessitating the continuous evolution of skills. The course will cover a range of technologies, including artificial intelligence, machine learning, blockchain, and the Internet of Things (IoT), and their implications for the future of work.

Key topics include: Overview of emerging technologies and their applications; The role of technology in driving economic growth and innovation; Skills and competencies required for the future workforce; Strategies for integrating technology into workforce development programs; Case studies of successful technology-driven workforce initiatives

Students will have a comprehensive understanding of how to leverage emerging technologies to enhance workforce development and ensure that workers are equipped with the skills needed to thrive in a rapidly changing job market.

Futuristic Mindset and Leadership in the Digital Age

This is a dynamic and interactive course designed to equip students with futuristic mindset the knowledge and skills necessary to effectively lead in an increasingly digital and interconnected business environment. The course explores the impact of digital transformation on leadership practices and organizational dynamics, emphasizing the development of strategic thinking, innovation, and adaptability. Students will be able to understand the key characteristics and challenges of leading in a digital age and analyse how digital technologies are reshaping organizational structures and leadership roles.

Key topics include: Evolution of digital technologies (with a focus on emerging trends and potential future advancements), Digital leadership, Fostering a futuristic mindset (techniques for visionary thinking and adaptability), Global perspectives on digital transformation, Human-machine collaboration (the potential of AI-augmented teams, the evolving role of human creativity and intuition), Ethical implications and challenges (balancing innovation with societal values).

Students will gain visionary thinking, cultivating the ability to anticipate and adapt to future technological trends; leadership skills, mastering the essentials of leading effectively in a digital environment; ethical insight, navigating the complex ethical landscape of digital transformation; data literacy, utilizing data for informed decision-making and strategy development; global awareness, understanding diverse digital strategies and their global impacts; and human-machine collaboration, exploring the synergy between human creativity and AI capabilities. In a nutshell, students will be better equipped to lead, innovate, and thrive in an increasingly digital world.

AI for Knowledge Management and Professional Development

This course delves into the role of artificial intelligence (AI) in transforming knowledge management and its implications for professional development. Students will explore how AI technologies are reshaping the way organizations capture, store, and use knowledge to drive innovation, decision-making, and growth. Key topics include AI-driven tools for knowledge discovery, information sharing, and collaboration, as well as how AI is fostering a culture of continuous learning and skill development. By the end of the course, students will be able to evaluate the role of AI in enhancing knowledge management practices, understand its impact on personal and organizational growth, and develop strategies to incorporate AI into professional development initiatives.

Data Mining for Trends Analysis and Forecasting

This course provides an overview of data mining and the fundamental concepts of education. Data mining is increasingly being used to improve teaching and learning process and educational pedagogy. It is designed for educators and professionals aiming to harness data-driven insights for decision-making and strategic planning in various sectors. Participants will learn about the processes of data preprocessing and visualization, essential for making raw data amenable for analysis. The course also provides a comprehensive understanding of probability and statistics, which are fundamental in developing and validating models for association, classification, and clustering. These models are crucial for identifying patterns and predicting future trends based on historical data. It also covers the concepts of STEM education for students to design STEM learning activities and discuss the social and moral issues related to STEM education. Some examples of data analytics in STEM applications are presented. By the end of the course, participants will be equipped with the necessary skills to apply data mining techniques in their professional fields for effective trend analysis and forecasting.

Envision and Design Global Education Futures    

Students will explore the evolving landscape of global education and develop innovative strategies to shape its future. Through a combination of theoretical frameworks and practical applications, participants will examine current trends, challenges, and opportunities in education worldwide. The course will emphasize the importance of cultural sensitivity, technological advancements, and sustainable practices in designing educational systems that are equitable and inclusive.

Key topics include: 1) Historical and contemporary perspectives on global education; 2) The impact of globalization on educational policies and practices; 3) Emerging technologies and their role in education; 4) Designing inclusive and sustainable educational environments, and 5) Case studies of successful educational innovations from around the world. Students will be equipped with the knowledge and skills to envision and design forward-thinking educational models that address the needs of diverse populations in a rapidly changing world.

The course will be delivered by a group of Guest lecturers to be invited from Harvard, MIT (Massachusetts Institute of Technology), iLRN (Immersive Learning Research Network), University of Toronto, and top Universities in China. Students will be able to have conversations with international scholars.

Well-being and Productivity in the Digital Age

This course focuses on developing strategies to maintain well-being and adaptability in today’s rapidly evolving world. Students will explore the challenges posed by digital transformation, remote interactions, and the integration of new technologies, while examining techniques to support mental health, balance, and sustained personal growth. Emphasis will be placed on leveraging tools for communication and collaboration, fostering flexibility in everyday life, and creating supportive environments that promote well-being and engagement. Through case studies and discussions, participants will gain practical insights and skills to navigate changing conditions, ensuring individuals remain resilient, connected, and healthy in the digital age.

Key topics include: (1) Understanding the fundamentals of digital well-being; (2) Analyzing the psychological and physical impacts of digital technologies; (3) Strategies for managing digital consumption and promoting healthy digital habits; (4) Designing effective digital wellness programs for educational and social enterprises; and (5) Evaluating case studies on successful and unsuccessful digital well-being initiatives. Through this exploration, students will be equipped to design and implement thoughtful strategies that enhance digital well-being, fostering environments that prioritize mental health and productivity in the digital age.

Data Mining for Trends Analysis and Forecasting

This course provides an overview of data mining and the fundamental concepts of education. Data mining is increasingly being used to improve teaching and learning process and educational pedagogy. It is designed for educators and professionals aiming to harness data-driven insights for decision-making and strategic planning in various sectors. Participants will learn about the processes of data preprocessing and visualization, essential for making raw data amenable for analysis. The course also provides a comprehensive understanding of probability and statistics, which are fundamental in developing and validating models for association, classification, and clustering. These models are crucial for identifying patterns and predicting future trends based on historical data. It also covers the concepts of STEM education for students to design STEM learning activities and discuss the social and moral issues related to STEM education. Some examples of data analytics in STEM applications are presented. By the end of the course, participants will be equipped with the necessary skills to apply data mining techniques in their professional fields for effective trend analysis and forecasting.

Innovation, Creativity and Forecasting Skills

This course is a comprehensive course designed to cultivate the critical skills required for identifying, developing, and implementing innovative solutions in a rapidly changing world. This course explores the principles of creativity, the processes of innovation, and the methodologies used for forecasting future trends and demands. Students will gain a deep understanding of how to leverage these skills to drive organizational growth and maintain a competitive edge in various industries. Students will learn how to innovate by using the power of design to get inspired by user insights, generate innovative solution paths, and refine ideas iteratively.

Trends in Artificial Intelligence at Workplace and at Home

The course provides a broad survey of advanced AI concepts and technologies including symbolic and sub-symbolic, with a particular emphasis on their transformative potential across various sectors. It aims to provide students with a comprehensive overview of cutting-edge AI concepts and their transformative potential across diverse sectors, including healthcare, education, entertainment, industry, tourism, and finance. For example, in education, although AI-driven tools for supportive reflective writing or automated essay scoring are commonly used, there remains an open discussion about using these tools directly for learning and teaching or as resources for critical analysis by students. Students will engage with topics such as the latest advancements in machine learning, the integration of AI in organisations, the ethical considerations and societal impacts of AI. Students will be engaged in a detailed analysis of the chosen trend’s current state, its expected evolution, and societal impacts. This course aims to equip students not only with knowledge of current AI trends but also with the foresight to anticipate and navigate future developments in the field.

Capstone Project  

This course provides students with opportunities to apply and extend their knowledge and skills developed in the programme to their own chosen area of specialism. They need to plan, conduct and report the small-scaled research: students will identify a research question or project topic relevant to their field of study or work.