Robert Sparks
I’ve always loved problem‑solving. Even in secondary school, I gravitated toward subjects like maths, biology and chemistry because they pushed me to think abstractly and make sense of complex ideas. When I began researching career paths, I came across Data Scientist and Data Analyst roles, and something clicked. The work felt like a natural extension of the things I enjoyed, analytical thinking, creativity and technical problem‑solving, while also being broad enough to apply across many industries. That combination is what drew me to the Data Science degree in DCU.
A Course That Surprised Me (In the Best Way)
The course didn’t just meet my expectations, it exceeded them. It challenged me academically and pushed me to develop strong technical and problem‑solving skills. I started with no programming experience, but the modules were designed to bring you along gradually. By the end, I was comfortable writing code, building projects and approaching problems with a much more structured mindset.
One thing I appreciated was how the modules built on each other. Sometimes it wasn’t obvious in the moment, but eventually everything connected. The course encouraged creative thinking, and I found myself tackling problems in ways I never would have imagined when I first started.
I also really valued the smaller class size. It made it easier to interact with lecturers and created a supportive learning environment. The quality of the learning materials, from lectures to assignments, was excellent, and the wider supports in DCU, like the library and the Maths Learning Centre, were genuinely helpful. All of this made the experience both challenging and enjoyable.
After finishing my degree, I spent a year working in industry. That’s when I saw how quickly AI was gaining momentum. I already had the fundamentals from my undergrad, but I wanted to deepen my understanding, so I returned to DCU to complete a Master’s in Computer Science with a major option in AI. It felt like a natural next step and a chance to build on what I’d learned.
My INTRA placement was another highlight. Working in a smaller company meant I got exposure to the full lifecycle of a project, from identifying a problem to deploying the final solution. It was the first time I saw how the concepts from lectures translated into real‑world applications, and that experience ultimately led to my first graduate role.
Robert Sparks - Data Science Alumni