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Doctorate in AI and Technology Management

Transform your leadership potential with our rigorous 36-month Doctorate in AI and Technology Management, accredited by UCAM Universidad Católica de Murcia. This advanced research program empowers senior professionals to drive innovation at the intersection of artificial intelligence and strategic management through cutting-edge research methodologies and real-world application across 180 credit hours of intensive study.
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  • Duration

36 Months

  • Modules

6 Core Modules

  • Assignments

Research Projects

  • Format

Blended Learning

  • Projects

Thesis Research

  • Level

Doctoral

Internationally Accredited & Recognized

16000

Global students enrolled

20

Years of academic excellence

25

Worldwide U-Multirank Ranking

100

Online Learning Facility

Guglielmo Marconi University, Italy - Doctoral Degree

The Doctorate in AI and Technology Management aims to develop advanced expertise in the strategic application of artificial intelligence and emerging technologies within organizational and managerial contexts. This program will equip learners with the research skills, theoretical knowledge, and practical competencies required to lead, innovate, and implement AI-driven solutions to complex business and societal challenges.

Learners will be prepared to contribute to the academic and professional fields of AI and technology management, conducting pioneering research that bridges the gap between cutting-edge AI technologies and effective management practices for sustainable, data-informed decision-making in dynamic environments.

The program offers a rigorous, research-intensive curriculum tailored for IT and management professionals aiming to lead in the evolving field of AI and technology. The program integrates advanced study in AI, machine learning, and business analytics with core principles of technology management, providing a multidisciplinary approach to address critical challenges faced by organizations today.

Eligibility

Eligibility

This doctoral program is designed for senior professionals and academic leaders seeking to advance their expertise in AI and technology management. The program welcomes experienced practitioners from diverse backgrounds including technology leadership, research, consulting, and academia who demonstrate the commitment and capability to conduct rigorous doctoral-level research in artificial intelligence and strategic management domains.

Prerequisites

A second-class Master’s degree or internationally recognized equivalent qualification is required, along with a minimum of 3 years senior-level IT experience. International applicants must demonstrate English proficiency through IELTS 7.0 (minimum 7.0 in writing) or equivalent educational background in English.

Course Modules

Module 1
Research Methods
Module 2
Disruption, Innovation & Leadership
Module 3
Research perspectives in Ai
Module 4
Governance, Ethics & Regulation
Module 5
Innovation & Sustainability
Module 6
Doctoral Research Proposal
Foundations of Research

Build a strong understanding of the research process, including its purpose, structure, and language. Learn how to formulate research questions, explore ethical principles, and differentiate between various research paradigms. Develop the ability to critically assess sources, interpret data, and apply research logic in academic and professional contexts.

Study Designs and Methodologies

Dive into the core of research planning by exploring major study designs—quantitative, qualitative, and mixed methods. Learn how to design and implement Cross-sectional studies, Cohort studies, Randomized Controlled Trials (RCTs), quasi-experiments, and Cluster RCTs. Understand how to choose the right design based on research goals and how to evaluate each for strengths, weaknesses, and practical relevance.

Secondary Research & Critical Analysis

Gain practical exposure to secondary research approaches such as Scoping Reviews and Systematic Reviews. Learn how to gather, analyze, and synthesize existing data to draw meaningful conclusions. Understand how to assess research quality through standards of validity, reliability, and ethical rigor.

Learning Outcomes
Module Duration: 4–6 weeks

By completing this module, you will:

  • Identify, describe, and assess various quantitative study designs and their practical applications
  • Understand qualitative methods and how to apply them in data collection, analysis, and reporting
  • Explore secondary research tools such as scoping and systematic reviews
  • Combine study designs in mixed-method approaches for richer research insights
  • Evaluate research quality through ethical principles and standards of validity and reliability
Disruptive Innovation & Emerging Tech

Gain a deep understanding of disruptive innovation theories and their real-world impact on industries. Explore emerging technologies—from AI and IoT to blockchain and automation—that are reshaping competitive strategies and creating new market dynamics. Analyze how early adoption and technology diffusion influence business sustainability.

Strategic Leadership for Innovation

Learn how visionary leadership fuels innovation. Dive into frameworks like Agile project management, Design Thinking, and Lean Startup. Develop the strategic capabilities to lead innovation-driven change, inspire creative teams, and foster a culture of adaptability and experimentation within your organization.

Sustainable Growth & Organizational Resilience

Understand how to implement sustainable innovation strategies that align with long-term business goals. Examine how organizations can remain resilient by embracing continuous improvement, mitigating disruption risks, and embedding environmental, social, and governance (ESG) considerations into their innovation roadmap.

Learning Outcomes
Module Duration: 4–6 weeks

By completing this module, you will:

  • Analyze how disruptive technologies impact industries, business models, and organizational strategies
  • Synthesize technological trends and data to propose innovative solutions to evolving business challenges
  • Apply frameworks to build long-term innovation strategies that promote resilience and sustainable growth
  • Design leadership approaches to successfully manage technological change across diverse business environments
Foundations of AI & Organizational Impact

Explore the theoretical underpinnings of artificial intelligence in modern organizations. Understand how AI influences knowledge creation, decision-making, and business transformation across sectors. Examine ethical implications and frameworks for responsible AI integration.

AI in Knowledge Systems

Learn how AI supports the creation, organization, and retrieval of knowledge in enterprise environments. Analyze its impact on knowledge management systems and how AI facilitates smarter, faster, and more informed decision-making at scale.

Research Skills & Strategic Innovation

Develop advanced research skills to evaluate the influence of AI in real-world contexts. Critically assess data-driven strategies and synthesize research insights to propose innovative, efficient, and sustainable AI-powered knowledge practices for organizational growth.

Learning Outcomes
Module Duration: 4–6 weeks

By completing this module, you will:

  • Evaluate the foundations and trends in AI as they relate to knowledge creation and decision-making

  • Analyze the role of AI in improving knowledge systems and organizational memory

  • Design innovative, AI-driven strategies to enhance efficiency and data-informed leadership

  • Synthesize findings from AI research to solve complex challenges and guide future innovation

  • Assess the ethical, legal, and social implications of AI deployment in organizational knowledge practices, ensuring responsible and equitable innovation.
  • Apply interdisciplinary research approaches to examine AI’s evolving role in strategic knowledge development across diverse organizational settings.
Ethical Challenges in Emerging Technologies

Explore key ethical concerns including data privacy, bias, accountability, and algorithmic transparency. Understand how these challenges impact society, businesses, and end-users in AI-powered systems and advanced technologies.

Global Governance & Regulatory Frameworks

Analyze international governance models and legal regulations aimed at controlling the use of AI. Learn how global policies balance innovation and control while shaping the development and deployment of responsible technology.

Policy Design & Responsible Implementation

Gain practical insights into designing ethical frameworks and organizational policies that promote responsible AI use. Learn to assess risk, address gaps in governance, and propose improvements that align with both legal and social responsibilities.

Learning Outcomes
Module Duration: 4–6 weeks

By completing this module, you will:

  • Identify the key ethical and regulatory issues associated with AI and emerging technologies.
  • Critically review and analyse international frameworks and governance models to assess their effectiveness in regulating AI and other advanced technologies.
  • Develop comprehensive assessments of the risks and ethical implications of AI and emerging technologies in organizational settings.
  • Design ethical frameworks to be used as interventions to close potential gaps and provide directions for future research on AI ethics.
Research for Sustainable Innovation

Understand how research supports the development of innovative products, processes, and technologies that align with sustainability goals. Learn how responsible innovation integrates environmental priorities and long-term business value.

Sustainable Business Models & Leadership

Explore models that drive sustainable innovation, focusing on leadership strategies and stakeholder communication. Develop the skills to lead purpose-driven initiatives and build businesses that balance economic, social, and environmental needs.

Design Thinking & Green Innovation

Dive into research-based approaches like green design and design science. Learn how sustainable design—through energy efficiency, thermal comfort, and recyclable materials—can address global issues while supporting innovation.

Learning Outcomes
Module Duration: 4–6 weeks

By completing this module, you will:

  • To understand and evaluate research on innovation and sustainability and to enhance research for sustainable business solutions.
  • To explore and understand models of Innovation and Sustainability in business and explore design thinking to improve sustainable innovation research.
  • To analyse research sustainability perspectives with green design and design science approach in the field of innovation.
Developing a Research Proposal in Leadership & Business Management

This module empowers learners to design a comprehensive research proposal focused on leadership and business management. Through a step-by-step process, participants identify a relevant knowledge gap, formulate a clear problem statement, and construct researchable questions.

Research Design, Tools & Ethics

Learners will receive expert guidance on conducting literature reviews, referencing, using citation management tools, framing research objectives, and applying ethical standards in research. Emphasis is placed on critical appraisal, evidence synthesis, and feasibility analysis.

From Concept to Proposal

By the end of the course, participants will be able to construct a complete, ethical, and viable doctoral-level research proposal, complete with clear timelines, methodology, and a structured framework for academic inquiry.

Learning Outcomes
Module Duration: 4–6 weeks

By completing this module, you will:

  • Identifying a relevant and suitable knowledge gap in Leadership and business Management and develop structured research questions to address the knowledge gap.
  • Write a literature review to identify existing evidence and knowledge gaps associated with the research problem of interest.
  • Develop a well-structured research protocol/proposal with clear timelines and relevant study methods that comply with the universal principles research ethics principles.

Your Success Story Starts Here

Every image here tells a story of transformation, dedication, and success. Be the next to wear the cap and gown. Enroll today, and let your journey begin.

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What Our Students Say

Every student has a story—of ambition, of challenge, of growth. In their own words, they share how Airtics became a turning point in their learning journey and helped them move closer to their goals.

Pemsith Ravi

Thanks to the support of this prestigious institution – airtics. I was able to earn a master’s degree in data science. I had a fantastic educational experience there, and they possess a highly competent and knowledgeable lecturing panel. Anyone looking to make it major in the data science field should enrol in their course.
  • Verified Review

Zeeshan Ali

Airtics offers a truly transformative learning experience. The course content is up-to-date, the mentors are incredibly supportive, and the flexibility of the online platform made it easy to balance with my work. Highly recommended for anyone looking to upskill!

  • Verified Review

Aalaa Shbair

The experience at Airtics College has been tremendous for me. It has illuminated my path and opened the way for me to become a developer of solutions in my workplace. I cherish every moment of this online learning experience and the supportive community of instructors and peers.

  • Verified Review

Muhammad Fatouh

Airtics offered a great platform that allowed me to take a meaningful step forward in data science while balancing my demanding job as a telecom engineer. If you have a busy schedule and struggle with work-life balance, I encourage you to find a flexible platform like Airtics to pursue your goals.

  • Verified Review

Al Tayyab Bakhsh

Coming from a non-technical background in marketing, switching to data science was challenging. The faculty at Airtics was incredibly helpful, especially my mentor Miss Piyali, who guided me with patience every step of the way. Their mentorship gave me the confidence to succeed.

  • Verified Review

Dilnawaz Qureshi

Airtics provides an impressive curriculum for Python Full Stack development that is both well-structured and up-to-date. This comprehensive approach ensures we acquire a thorough understanding of the field and are well-prepared for real-world challenges.

  • Verified Review

Charuhaas Shenoy

Airtics offers a truly transformative learning experience. The course content is up-to-date, the mentors are incredibly supportive, and the flexibility of the online platform made it easy to balance with my work. Highly recommended for anyone looking to upskill!
  • Verified Review

Madonna Ghanem

The resources provided by Airtics for AI and ML students are top-notch. The institute has a well-equipped virtual lab with the latest software, allowing us to experiment with complex algorithms. The online library offers a wide range of reference materials and research papers.

  • Verified Review

Dhruv Narse

Airtics provides a conducive learning environment for data analytics students. They have experienced faculty, and provide access to the latest software and tools used in the industry. This ensures that we are well-prepared for our future careers in the field.

  • Verified Review

What Our Students Say

Every student has a story—of ambition, of challenge, of growth. In their own words, they share how Airtics became a turning point in their learning journey and helped them move closer to their goals.

Pemsith Ravi

Thanks to the support of this prestigious institution – airtics. I was able to earn a master’s degree in data science. I had a fantastic educational experience there, and they possess a highly competent and knowledgeable lecturing panel. Anyone looking to make it major in the data science field should enrol in their course.
  • Verified Review

Zeeshan Ali

Airtics offers a truly transformative learning experience. The course content is up-to-date, the mentors are incredibly supportive, and the flexibility of the online platform made it easy to balance with my work. Highly recommended for anyone looking to upskill!

  • Verified Review

Aalaa Shbair

The experience at Airtics College has been tremendous for me. It has illuminated my path and opened the way for me to become a developer of solutions in my workplace. I cherish every moment of this online learning experience and the supportive community of instructors and peers.

  • Verified Review

Muhammad Fatouh

Airtics offered a great platform that allowed me to take a meaningful step forward in data science while balancing my demanding job as a telecom engineer. If you have a busy schedule and struggle with work-life balance, I encourage you to find a flexible platform like Airtics to pursue your goals.

  • Verified Review

Al Tayyab Bakhsh

Coming from a non-technical background in marketing, switching to data science was challenging. The faculty at Airtics was incredibly helpful, especially my mentor Miss Piyali, who guided me with patience every step of the way. Their mentorship gave me the confidence to succeed.

  • Verified Review

Dilnawaz Qureshi

Airtics provides an impressive curriculum for Python Full Stack development that is both well-structured and up-to-date. This comprehensive approach ensures we acquire a thorough understanding of the field and are well-prepared for real-world challenges.

  • Verified Review

Charuhaas Shenoy

Airtics offers a truly transformative learning experience. The course content is up-to-date, the mentors are incredibly supportive, and the flexibility of the online platform made it easy to balance with my work. Highly recommended for anyone looking to upskill!
  • Verified Review

Madonna Ghanem

The resources provided by Airtics for AI and ML students are top-notch. The institute has a well-equipped virtual lab with the latest software, allowing us to experiment with complex algorithms. The online library offers a wide range of reference materials and research papers.
  • Verified Review

Dhruv Narse

Airtics provides a conducive learning environment for data analytics students. They have experienced faculty, and provide access to the latest software and tools used in the industry. This ensures that we are well-prepared for our future careers in the field.

  • Verified Review

Learn from Industry Leaders & Experts

Learn from distinguished doctoral supervisors, industry leaders, and AI researchers from top organizations. Our world-class faculty combines advanced academic credentials with extensive industry experience, bringing cutting-edge research expertise and practical insights to guide your doctoral journey in AI and technology management.

Dr. Abdullah El Nokiti - B&W
Dr. Abdullah El-Nokiti Professor
Dr. Meraj Inamdar - B&W
Dr. Mohd Merajuddin Inamdar Professor
Dr. Madhavi Vaidya - B&W
Dr. Madhavi Vaidya Professor
Dr. Poonam Chaudhari - B&W
Dr. Poonam Chaudhari Professor
Dr. Anup Maurya - B&W
Dr. Anup Kumar Maurya Professor
Dr. Milan Joshi - B&W
Dr. Milan Amrutkumar Joshi Industry Expert
Dr. Mohamed Elhaw - B&W
Dr. Mohamed Elhaw Industry Expert - Strategic HR & Organizational Development
Dr. Pradeep Tiwari - B&W
Dr. Pradeep Tiwari Industry Expert - AI Research & Generative AI Specialist
Dr. Nabil Beshara - B&W
Dr. Nabil Beshara Industry Expert - Operations Management & Strategic Planning
Dr. Peter Damilare Oyinloye - B&W
Dr. Damilare Peter Oyinloye Industry Expert - Blockchain Technologies & Information Security
Global Student Community

Students from 60+ Countries Worldwide

Frequently Asked Questions

Find answers to common questions about our Advanced Program in Data Science. Learn about program details, requirements, and what to expect from this 6-month certification course.
What are the entry requirements for the Doctorate in AI and Technology Management?

Applicants need a second-class Master’s degree (or internationally recognized equivalent) plus minimum 3 years senior-level IT experience. International students must demonstrate English proficiency through IELTS 7.0 (minimum 7.0 in writing) or equivalent educational background in English.

How long does the program take to complete?

The program is designed as a 36-month (3-year) doctoral journey with 180 total credits. Year 1 focuses on research methods and core modules, Year 2 on proposal defense and thesis development, and Year 3 on dissertation completion and defense.

What learning format does the program offer?

The program uses a blended learning approach, combining online coursework, virtual seminars, and intensive research supervision sessions to accommodate working professionals while maintaining rigorous academic standards.

What qualifications will I receive upon graduation?

You’ll earn three international qualifications: a Doctoral Degree from UCAM Universidad Católica de Murcia (Spain), a Master of Research (MRes), and CMI Certification from the Chartered Management Institute.

Can I pursue this doctorate while working full-time?

Yes, the program is specifically designed for experienced professionals. The flexible blended learning format allows you to balance doctoral studies with senior-level career responsibilities.

What research areas can I focus on?
Research areas include AI ethics and governance, digital transformation leadership, sustainable technology innovation, disruptive innovation theory, and technology management strategies across various industry sectors.
Is there recognition of prior learning available?
Yes, if you’ve completed appropriate doctoral-level modules in related subjects within the last 6 years, you may apply for credit transfer which could eliminate the need for certain program modules.
What support is provided during the research phase?

You’ll receive dedicated supervision from expert faculty, ongoing research meetings, academic seminar participation, and guidance through proposal defense, thesis writing, and final viva voce examination.

Still have questions?

If you have any other questions or need further information about our Advanced Program in Data Science, don’t hesitate to contact us. Our admissions team is here to help you take the next step in your data science career.

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