Accredited online PhD in AI for working professionals, innovators, and researchers.
The SMC Doctor of Philosophy in Artificial Intelligence (PhD in AI) is an online program designed for professionals who want to make a lasting impact through advanced doctoral research. Whether your ambitions reside in business innovation, technology and computer science, or policy and governance, this distance-learning PhD in AI equips you with the expertise and opportunity to lead in the world of Artificial Intelligence.
Research. Governance. Innovation. Application & Implementation. Security & Safety.
Connected to the Institute of Artificial Intelligence, the program supports interdisciplinary research across technology, governance, ethics, and AI-driven transformation.
Model design, evaluation, explainability, and safety.
Policy, compliance, governance, and cross-border frameworks.
Business transformation, adoption, value creation, and ROI.
Transparency, fairness, accountability, and human-centered design.
The PhD in Artificial Intelligence is designed from the ground up for advanced research in AI methods and their real-world deployment. SMC’s AI PhD concentrates your doctoral training on the exact capabilities employers and institutions are scaling today.
Deep learning, generative models, reinforcement learning, causal inference, evaluation and safety — applied to complex, high-impact domains.
You will engage with business strategy, law, and ethics to plan, deploy, and govern AI at scale — skills rarely covered in a general CS track.
Dissertations aim to both advance the state of the art and address adoption challenges such as risk, compliance, explainability, and ROI.
At SMC, this focus is reinforced through specializations in AI Business Strategy, Technology & Intelligent Systems, AI Law, and Ethics & Governance, all delivered in a flexible online format to support working professionals.
SMC’s European-accredited online PhD in Artificial Intelligence is a research-intensive doctorate built for leaders who want to advance scholarship and practice. Delivered 100% online with flexible pacing, it offers supervision from international faculty and specializations in AI business strategy, technology, law, and ethics & governance.
Doctor of Philosophy Degree — EQF Level 8
EU government-accredited, internationally recognized
Part-time and flexible
Research-based, distance learning
English, multi-language support
“I don’t write your dissertation. I help you ask better AI questions.”
A playful reminder of the doctoral standard: tools can support your process, but originality, research judgement, and academic contribution remain yours.
Recognized for academic rigor and global relevance.
Study anytime, anywhere — no campus attendance required.
Learn from AI experts, legal scholars, and interdisciplinary thought leaders.
Address the challenges of AI governance, ethics, innovation, and deployment.
SMC’s doctorate pathway uses an adaptive tuition model for PhD applicants.
Connect your doctoral work with SMC’s Institute of Artificial Intelligence and its interdisciplinary research domains.
The online PhD in Artificial Intelligence program at SMC empowers scholars, innovators, and policymakers to lead the global transformation driven by AI. This research-intensive, European-accredited doctorate invites you to explore the profound intersection between intelligent systems, law, ethics, and society, and to contribute original research that advances both human and technological progress.
What drives you to pursue a PhD in Artificial Intelligence?
Is it the desire to be recognized as a leader in one of the most transformative fields of our time, or the ambition to secure your place among the experts shaping the future of technology? Perhaps it’s the challenge of mastering a discipline that demands intellectual rigor and offers unmatched prestige, positioning you for roles where your voice carries weight in both boardrooms and research forums.
This accredited PhD in Artificial Intelligence offers a unique opportunity to focus on your own career ambitions. Whether you aim to lead innovative projects, influence global AI policies, or secure a competitive edge in a rapidly expanding job market, a PhD in AI positions you at the intersection of knowledge, influence, and opportunity.
Frameworks for accountability, transparency, regulation, and responsible deployment.
Models, evaluation, interpretability, safety, and technically grounded doctoral inquiry.
How AI creates value inside organizations, industries, public systems, and society.
Original doctoral research connects all three layers into one coherent contribution.
The PhD in AI follows a formal eight-phase doctoral structure. It moves your work from initial intent, to proposal, to supervised research, to thesis submission and defense.
The program combines formal committee review, supervised research progression, quarterly seminars, and a final examination pathway. Each stage is designed to build research quality, originality, and academic readiness.
Intent and proposal come first. Approved candidates then move into supervised research, MPhil-to-PhD transfer, thesis writing, submission, and oral defense before the degree is formally conferred.
Define the topic, articulate significance, and develop a viable doctoral direction through the Letter of Intent and Research Proposal.
Present the proposal, undergo committee review, and move into formal doctoral studies with approved supervision.
Advance through MPhil-to-PhD transfer, quarterly seminars, chapter development, and ongoing supervised research.
Submit the thesis, complete evaluation and oral defence, address required changes, and proceed to degree conferral.
Doctoral seminars, supervisor meetings, and progress reporting support research momentum.
Your thesis demonstrates advanced subject competence and contributes new knowledge to the field.
Board review, oral defence, and verification of required changes conclude the doctorate.
Phase one consists of writing a 1,000-word Letter of Intent aimed at communicating your intended area of study.
An affirmative reply to the Letter of Intent from the SMC Doctoral Committee allows the candidate to move on to a formal Research Proposal of around 3,000 words.
The proposal is reviewed by the SMC Doctoral Committee, followed by a presentation, interview, and Q&A session.
The research phase commences once the candidate receives a formal letter of acceptance with the approved thesis title, supervisors, and timeframe.
Transfer occurs on condition that the work submitted is approved by the appointed Board of Examiners. The transfer can take place after a minimum of 24 months and a maximum of 48 months of part-time study.
PhD candidates attend quarterly SMC Doctoral Seminars, present thesis chapters, engage with conferences and webinars, and meet regularly with tutors to discuss research progress.
The candidate submits a thesis of around 100,000 words. An appointed Board of Examiners is set up to examine the thesis and the oral defense process.
Following verification of the Board of Examiners’ declaration and any required changes, the Doctor of Philosophy degree is conferred.
Students work closely with assigned supervisors through all eight phases. Research candidates write a thesis that clearly demonstrates advanced competence in the subject area and contributes toward new knowledge. At the end of each term, the researcher and supervisors each submit a progress report to the SMC Doctorate Committee. When supervisors are satisfied that the work is ready, the thesis is submitted to an appointed Board of Examiners.
After examination, the Chairperson may approve the oral defense or request resubmission with corrections.
Depending on your professional background and interests, the online PhD in AI enables you to conduct research on areas that align with your expertise and goals. Build on your knowledge of AI or delve into evolving avenues of data science to work toward the career of your dreams.
Whether your experience lies in business, technology, or law, the program provides opportunities to advance AI in ways that are both significant and aligned with your ambitions. Once you’ve chosen your area of focus, you’ll complete your graduate coursework and conduct advanced research toward your doctoral dissertation.
For professionals with a business background, the PhD offers the chance to research how AI enhances organisational strategies and performance. You could examine how predictive analytics improves decision-making, study AI’s role in streamlining operations, or explore its potential to create personalised customer experiences.
Explore how artificial intelligence reshapes society — and how society must govern AI in turn. This specialization examines ethical, legal, and human implications of intelligent systems and develops frameworks for transparency, fairness, accountability, and responsible innovation.
For those with a legal or policy background, the PhD enables research on the frameworks that govern AI development and use, from data privacy and intellectual property to global compliance, transparency, and ethical deployment.
If you’re a developer or engineer, the program provides opportunities to focus on technical challenges in AI, including efficient machine learning algorithms, interpretability, autonomy, and real-world intelligent systems.
Do you have a research idea but feel uncertain whether it’s the right fit for a PhD in AI? Defining a strong topic is an important step, whether it involves solving a business challenge, advancing technological innovations, or addressing legal and ethical issues in AI.
If you’re unsure about your research idea, you are strongly encouraged to connect with SMC’s PhD in AI coordinator, Dr. Walter Kurz, before deciding to enroll. He can help you assess its potential, offer guidance, and refine your focus so it aligns with your ambitions and the field’s requirements.
A strong PhD in AI topic sits at the intersection of research feasibility, originality, and real-world significance. Whether you are working on governance, intelligent systems, business transformation, or AI law, topic refinement at the beginning saves time and strengthens the full doctoral trajectory.
Graduates of the PhD in AI, with its emphasis on AI business, AI technology, and AI law, are uniquely positioned for leadership roles at the forefront of AI innovation.
Lead the integration of AI technologies within an organisation to drive innovation and growth, develop AI strategies aligned with business goals, oversee implementation, and ensure compliance with legal and ethical standards.
Provide expert advice to businesses and governments on maximising the potential of AI technologies, recommending AI-driven solutions and supporting implementation across sectors such as consulting, logistics, retail, and manufacturing.
Guide organisations and governments through complex regulatory landscapes, develop ethical AI frameworks, ensure compliance with international standards, and advise on policy trends such as the EU AI Act.
Lead innovation in machine learning, natural language processing, or autonomous systems, publish in academic journals, present at conferences, and contribute to the advancement of AI knowledge.
Design and implement AI-driven solutions tailored to business needs, create scalable AI frameworks, optimize systems for real-time processing, and align technical solutions with strategic business goals.
Ensure that organisations comply with AI-related laws, from data protection to intellectual property, and help design governance frameworks that balance innovation with responsibility.
Dr. Kurz brings a business-focused perspective to Artificial Intelligence and specializes in research at the intersection of AI and business. He has initiated several prominent programs, including the AI Competence Program for Southeast Europe, certified Chief AI Officer trainings, and the development of multi-agent business AI systems.
As an entrepreneur, Dr. Kurz leads a team dedicated to pioneering new business models that integrate AI with distributed ledger technology. He is actively involved in developing timestamping and verification services, access points for oversight by governmental authorities, and several patents combining AI with distributed ledger technology and smart contracts.
Dr. Kurz has been supervising MBA, DBA, and PhD theses for several years, guiding candidates in developing impactful research that bridges academic inquiry with practical relevance.
The SMC PhD in Artificial Intelligence is built for professionals and researchers who want to contribute original research, strengthen their influence, and shape the responsible future of AI across industries, institutions, and societies.
Apply now if you are ready to enter a research-driven, European-accredited doctoral program that connects technology, governance, ethics, and real-world impact.
Research-based, distance-learning Doctor of Philosophy in Artificial Intelligence.
Eight structured research phases from Letter of Intent through degree conferral.
Adaptive doctorate tuition via SMC’s calculator pathway.
Connected to SMC’s Institute of Artificial Intelligence and interdisciplinary AI domains.