Doctorate in AI and Emerging Technologies

Module Code: DAIET101

Level of Study: Level 8

Learning Hours: 500

Credits: 20 ECTS

Status: Core Course

Module Description

This course is designed to prepare the research scholars to understand the process of research. Participants of the course will explore the fundamentals of research methodology and furthermore learn about the basic writing ethics. Through a step-by- step approach the students will develop will understand the design and implementation of quantitative and qualitative research designs. The course will equip students with the skills that are necessary for conducting academic research and with appropriate choices of research methodologies and address practical issues identified at the workplace. Furthermore, the course will make the students future ready with the ability to take methodological rigour to also map it with the available published research work for application to the proposed research course.

Learning Outcomes

• LO1.Critically identify a relevant knowledge gap in the fields of emerging technologies and artificial intelligence using foundational research methods and formulate a structured research aim and objectives to address the identified gap.

• LO2.Demonstrate a critical understanding of research methodologies, including quantitative, qualitative, and mixed-method approaches. Evaluate their core principles, strengths, limitations, and suitability for addressing applied research problems in technology-driven contexts.
• LO3.Evaluate different types of secondary research methods, including scoping and systematic reviews, to identify existing evidence and inform research design through a coherent literature review.
• LO4.Provide an understanding and application of research quality assurance in research integrity and ethical principles. Apply the concept of validity and reliability in the development of a robust and ethically sound research proposal.

Module description

This course, change and innovation in Technology Management equips leaders with the skills to manage and adapt the rapidly changing technological landscape that has an impact on the business in a dynamic and versatile environment. This course explores the options that organizations have to manage the key barriers to change and innovation and helps to build strategies for fostering innovation culture by implementing transformative initiatives. The learners will look at organizational agility and focus on digital transformation, the strategy to effectively lead this and scaling AI adoption for meeting long-term business goals. Furthermore, an emphasis will be placed on linking strategic foresight and innovation frameworks so that a competitive advantage in tech-industries can be learned. At the end of this course, students gain advanced expertise in designing strategies to mange change and innovation while dealing with complexities of organizational environments.

Learning Outcomes

LO1.Critically identify and evaluate the theories and models related to change management and innovation that are relevant and applicable in the context of AI and Emerging Technology

LO2.Analyse the drivers, challenges, and facilitators of the technological innovation within organizations, and develop strategies that support transformation and change in dynamic environments.

LO3.Critically demonstrate the knowledge and understanding about the emerging technologies that influence the business transformation, organization structures, and value creation.

LO4.Discuss an evidence-based strategy that can manage innovation and technological change that syncs with the objectives of organization and promote a long-term growth and adaptation.

Module description

This course is crucial in providing a comprehensive understanding of the ethical, governance and policy implications arising from the development and the use of artificial intelligence and other emerging technologies. The course will equip the learners with conceptual and analytical tools that will help them to explore and examine any challenges relevant to transparency, bias or data privacy and proactively understand their impact to handle the organizational situations better.

The core focus of this course is on the regulatory framework, institutional governance models and policy making procedures to prepare the learners to lead formulation and evaluation of AI strategies in complex organizational context responsibly. Furthermore, emphasis is placed creating balance between innovation and ethical integrity, public trust and legal compliance. By the end of the course, the students will be prepared to critically influence and shape an evolving landscape of AI governance which ensures that technological advancement is aligned with ethical principles and organizational goals.

Learning Outcomes

LO1.Evaluate the critical ethical theories and identify key ethical and regulatory issues that relate to AI and emerging technologies that include the concerns around privacy, transparency, bias and social impact.

LO2.Critically analyse regulatory frameworks and governance models for AI, assessing the effectiveness, limitations and implications comparing them across organizational and policy context.

LO3.Develop and justify governance strategies that can help in the promotion of accountability, and fairness in AI driven systems by appropriately dealing with the ethical risk associated with AI and emerging technologies in organizational settings.

LO4.Formulate evidence-based ethical frameworks that can guide regulatory decision making in designing, delivering and utilizing AI and emerging technologies within public and private sector organizations.

Module description

This module delves into evolving research landscape in artificial intelligence and emerging technologies. This course will introduce scholars to diverse theoretical, conceptual and methodological perspectives of AI and emerging technologies and an application of the same to prepare them for driving AI responsibly in a professional context. This module is an introduction to perspectives that shape innovation and inquiry in this rapidly advancing field. This module will involve critical thinking with use of interdisciplinary literature and cases so that learners can explore frameworks and analyse the impact of AI on data-driven practices and develop the research skills. Furthermore, the module will focus on identifying current research trends, gaps and debates that will help learners decide about their choices for applying the concepts of Artificial Intelligence and emerging technologies.

Learning Outcomes

LO1.Critically examine the theoretical and emerging trends, themes, and challenges associated with Artificial intelligence and emerging technologies that can have an organizational impact.

LO2.Assess the use of AI and emerging technologies in reshaping the research paradigms and evaluate the impact on data generation, analysis and interpretation within professional technology context.

LO3.Explore and design strategies for application of AI and emerging technologies to improve the organizational and strategic decision making, drive innovation and technology and enhance the effectiveness and efficiency.

LO4.Synthesize academic and applied research studies on AI and emerging technologies so that evidence-based strategies can be generated to address complex challenges and support sustainable and future centric solutions.

Module description

This module explores the evolving role of leaders in the age of digitalization and technological advancement. The learners will be equipped with essential skills, strategies, and tools that they require to strategical and ethically transform the organization by integrating emerging technological tools and artificial intelligence and lead through the technological disruption. Participants will examine how AI, automation and emerging technologies are reshaping the leadership theories, organizational culture and promoting strategic decision-making. This module is a blend of theoretical and practical application of digitalization that can prepare scholars to lead digital transformation practices and foster innovation navigating through uncertain tech-driven environment. The knowledge from this module will enable participants to build their capacities in digital mindset development, integrative thinking, managing effective teams, and emerging digital infrastructure which are essential skills in leading organizations in the global business environment.

Learning Outcomes

LO1.Critically assess contemporary leadership approaches and their effectiveness in driving innovation, agility, and sustainable transformation within digitally evolving and technologically advanced organizational environments.

LO2.Explore and understand the impact of AI and emerging technologies on leadership theory, practice, and organizational dynamics in the digital age.

LO3.Critically justify digital leadership strategies that associate technological capabilities, ethical governance and create stakeholder engagement for organizational development.

LO4.Synthesize relevant literature to develop evidence-based recommendations for leading organizational behaviour through the effective use of AI and data-driven decision-making practices.