Doctorate of Artificial Intelligence and Technology Management

Candidate Profile

The DAITM program is designed for:

• Senior executives and C-level leaders
• Technology and digital transformation directors
• AI strategy leaders and innovation managers
• Policy advisors and regulatory professionals
• Consultants and academics specializing in technology management

Why Choose This Program?

• Clear positioning as an AI & Technology Management Doctorate
• Applied doctoral model with strong strategic and governance focus
• Flexible self-paced structure for senior professionals
• Integration of AI, ethics, policy, and organizational leadership
• International accreditation program
• ISO-certified institution
• AI-supported academic learning environment
• Global recognition and degree verification

Program Structure

The DAITM program consists of 60 credits, typically completed over approximately 3 years, structured into Doctoral Learning Phases.

• Core Doctoral Courses (70%) – 42 credits
• Doctoral Project / Dissertation / Publication Track (30%) – 18 credits

Candidates may choose one of the following completion pathways:

• Doctoral Dissertation
• Applied Doctoral Project
• Publication-Based Doctorate

Doctoral Learning Phase Framework

• Phase 1: Foundations of AI and Technology Management
• Phase 2: Advanced AI Strategy, Governance, and Ethics
• Phase 3: Applied Research and Technology Transformation
• Phase 4: Doctoral Contribution and Defense

Curriculum and Syllabus

Core Doctoral Courses (42 Credits)

Doctoral Contribution Track (18 Credits)

Candidates select one of the following:

• Doctoral Dissertation in AI and Technology Management (18 credits)
• Applied Doctoral Project and Strategic Technology Portfolio (18 credits)
• Publication-Based Doctorate (peer-reviewed outputs) (18 credits)

Specialization Areas

DAITM candidates may focus their research on areas such as:

• Advanced AI Research Methods
• Machine Learning And Deep Learning
• Computer Vision And Image Recognition
• Ethical And Responsible Artificial Intelligence
• AI Systems Architecture And Deployment
• AI Data Governance And Privacy Ethics
• AI Strategic Decision Making
• Neural Networks And Intelligent Systems
• Robotics And Autonomous Systems
• Advanced Technology

Specializations will allow candidates to deepen scientific competence in a selected applied fields.

Learning Methodology

• Self-paced doctoral study
• Advanced seminars and doctoral colloquia
• Individual supervision by senior faculty and industry experts
• AI-supported research, analytics, and academic writing tools
• Independent applied inquiry and strategic problem-solving

Entry Requirements

Applicants must meet the following criteria:

• Master’s degree or equivalent qualification
• Significant professional experience in technology, digital, or leadership roles recommended
• Preliminary doctoral proposal or defined research interest
• English proficiency suitable for doctoral-level academic and professional writing
• Eligibility for equivalency and RPEL assessment may apply

Admissions Process

• Online doctoral application submission
• Academic and professional profile review
• Doctoral readiness and proposal assessment
• Approval by the Academic Council
• Enrollment and doctoral onboarding

Admissions operate under a Rolling Admission System.

Assessment and Evaluation Method

Assessment is based on:

• Doctoral coursework and seminar participation
• Proposal defense and candidacy assessment
• Doctoral dissertation, project, or publication evaluation
• Oral defense and external review

Completion Requirements

To be awarded the DAITM degree, candidates must:

• Complete all required credits
• Successfully defend the doctoral contribution
• Demonstrate applied doctoral-level originality and impact
• Adhere to academic integrity, research ethics, and AI governance standards

Career Opportunities

Graduates of the DAITM program are prepared for roles such as:

• University Professor (AI & Management)
• Senior Academic or Industry Thought Leader
• Chief Artificial Intelligence Officer (CAIO)
• Chief Technology Officer (CTO)
• Senior Academic
• AI Strategy Director
• Head of Digital Transformation
• AI Research and Development (R&D) Director
• Principal Consultant in AI & Emerging Tech
• AI Governance and Ethics Lead
• VP of Technology Innovation
• Director of Data Science
• Advanced Technology Policy Advisor
• AI Product Strategy Lead
• Enterprise AI Architect
• Head of Automation & Robotics
• Venture Capitalist (Deep Tech/AI focus)
• Global Technology Operations Director
• Scientific Director in AI Applications
• Strategic IT Consultant
• Director of Smart Manufacturing & Industry 4.0
• Founder/CEO of AI Startup

International Accreditation And Global Recognition

The Doctorate of Artificial Intelligence and Technology Management at Enigma Business School is internationally accredited by SEAAC (South East Asian Accreditation Council), ICDLA (International Commission for Distance Learning Accreditation), EDLC (European Distance Learning Commission), GABDE (Global Accreditation Board for Distance Education), and IAHRM (International Association of Human Resources Management). All of these institutions are highly respected accreditation bodies in ASEAN, EU and the USA.

Program Notes

The Doctorate of Artificial Intelligence and Technology Management at Enigma Business School represents a forward-looking doctoral pathway dedicated to shaping leaders who can responsibly govern, manage, and transform organizations through artificial intelligence and advanced technologies at a global scale.