What drives you to pursue a PhD in Artificial Intelligence? Is it the desire to be recognised 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.
Our PhD in AI provides a platform to develop practical skills that impact industries, governments, and societies. With three core pillars—AI Business, AI Technology, and AI Law—you will be equipped to address pressing challenges while contributing to meaningful advancements. Whether it’s pioneering AI-driven business solutions, optimising public operations, or addressing the ethical and regulatory frameworks that guide the deployment of AI, your work will have the potential to make a tangible difference.
At the same time, this accredited PhD programme 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. If you’re ready to take this step and define your place in the world of AI, we invite you to join us.
Depending on your professional background and interests, our PhD in AI enables you to focus your research on areas that align with your expertise and goals. Whether your experience lies in business, technology, or law, the programme provides opportunities to advance AI in ways that are both significant and aligned with your ambitions.
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. With this focus, a PhD will prepare you to lead AI-driven business transformations and develop strategies that harness AI’s full potential in competitive industries.
If you’re a developer or engineer, this programme provides an opportunity to focus on the technical challenges in AI. Research topics might include designing more efficient machine learning algorithms, improving AI interpretability, or developing applications for autonomous systems. A PhD in this area allows you to deepen your technical skills and contribute to innovations that push the boundaries of AI, positioning you as an certified expert in a rapidly advancing field
For those with a legal or policy background, the PhD enables you to focus on frameworks that govern AI’s development and use. Your research might explore data privacy regulations, intellectual property rights, or ethical challenges in AI. Specific frameworks could include the EU AI Act, GDPR, UNESCO’s Recommendation on the Ethics of AI, OECD AI Principles, and ISO/IEC standards. You may also examine regional approaches, such as the United States’ Executive Order on AI or China’s AI Governance Principles. A key focus could be developing AI systems that comply with diverse frameworks, ensuring they are ethical, transparent, and legally compliant when deployed globally.
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. Your idea has the potential to become a meaningful contribution to this ever-evolving field.
If you’re unsure about your research idea, connect with our SMC PhD AI coordinator, Dr. Walter Kurz, before deciding to enrol. He will help you assess its potential, offer valuable guidance, and refine your focus to ensure it aligns with your ambitions and the field’s requirements.
Graduates of our 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. Here are examples of career paths reflecting the diverse expertise this programme cultivates:
As a Chief AI Officer, you will lead the integration of AI technologies within an organisation to drive innovation and growth. Responsibilities include developing AI strategies aligned with business goals, overseeing AI implementation, and ensuring compliance with legal and ethical standards. This role is pivotal in industries like finance, healthcare, and public administration, where AI is transforming operations and creating competitive advantages.
AI consultants provide expert advice to businesses and governments on maximising the potential of AI technologies. In this role, you will assess organisational challenges, recommend AI-driven solutions, and support implementation. Consultants are particularly in demand in sectors such as management consulting, manufacturing, logistics, and retail, where operational efficiency and decision-making improvements are critical.
With expertise in the legal and ethical dimensions of AI, you can guide organisations and governments through complex regulatory landscapes. You might focus on developing ethical AI frameworks, ensuring compliance with international standards, or advising on global policy trends such as the EU AI Act. This career is crucial for shaping responsible AI deployment and is often found in think tanks, governmental agencies, or corporations prioritising ethical governance.
As a research scientist, you will lead innovation in areas such as machine learning, natural language processing, or autonomous systems. This role often involves publishing in academic journals, presenting at international conferences, and developing groundbreaking AI tools. Research scientists typically work in tech companies, academic institutions, or specialised R&D labs, driving the advancement of AI knowledge.
AI systems architects design and implement AI-driven solutions tailored to business needs. Responsibilities include creating scalable AI frameworks, optimising systems for real-time data processing, and ensuring integration with business strategies. This role is ideal for those who want to work at the intersection of AI development and practical business applications, with opportunities across tech companies, multinationals, and large enterprises.
Specialists in AI governance and regulation ensure that organisations comply with AI-related laws, from data protection to intellectual property. You might also contribute to developing governance frameworks that balance innovation with responsibility. Roles in this area are found in regulatory bodies, international organisations, and large corporations adopting AI technologies.
Accreditation License Number 2019-014