Dr Paul Doyle
Head of School of Computer Science, TU Dublin
Dr Susan McKeever
Head of Artificial Intelligence and Data Science, TU Dublin
Artificial intelligence (AI) and data science skills are increasing in demand exponentially. Across industries, organisations must adapt quickly to harness their transformative potential.
Dr Paul Doyle and Dr Susan McKeever of TU Dublin emphasise that upskilling in AI and data science is no longer optional; it’s a necessity for both individuals and businesses to remain competitive.
Why AI upskilling is essential
“It’s difficult to overstate the transformative impact that AI and data science will have as they integrate into every aspect of our lives,” explains Dr Doyle. “Upskilling in these areas isn’t just important for tech professionals — it’s a transdisciplinary imperative that every discipline must engage with.”
Dr McKeever highlights the dual nature of this upskilling need, categorising it into two distinct groups. “There are users of AI, where off-the-shelf AI technologies like large language models are there for quality and productivity. For this group, using AI isn’t a choice; it’s like ignoring the internet. Then, there are ‘implementers’ of AI and data science, who require a deeper understanding of technologies like machine learning to support data-driven decision-making. We offer learning for both groups,” she explains.
Upskilling effectively requires the
ability to learn at one’s own pace.
Education tailored for a diverse workforce
TU Dublin has developed a suite of educational offerings designed to cater to both novices and experienced professionals. “Upskilling effectively requires the ability to learn at one’s own pace,” says Dr Doyle. “We offer flexible options — from single modules like the AI Fundamentals microcredential to full Master’s degrees that explore these technologies in greater depth. These opportunities make advanced education accessible to all who wish to upskill or reskill.”
Dr McKeever elaborates on the variety of pathways available: “Our data science certificates provide foundational skills, giving learners the confidence to navigate the data space. Many students use this as a stepping stone to Master’s level study. This year, we’re excited to launch a new MSc in Data Analytics with specialisations in business, sport and precision diagnostics, catering to both technical and non-technical backgrounds.”
Bridging the gap between academia and industry
A critical aspect of TU Dublin’s success in delivering these skills lies in its industry collaborations. “Collaborating with industry is at the heart of what we do,” Dr Doyle emphasises. “We work closely with companies to design programmes that meet current industry needs, offer work placements for practical experience and engage in collaborative research projects.”
Partnerships ensure that graduates and corporate partners are equipped with cutting-edge skills, positioning them for success in a rapidly evolving technological landscape. As Dr McKeever notes: “This is a growing space for companies, and we’re already collaborating to deliver applied machine learning programmes directly to employees.”
