From Self-Taught to MSc Research: Tackling the Cold Start Problem at Skillsoft

Kevin Curtis is proof that talent and outcomes matter more than labels. As a Senior Business Analyst at Skillsoft, Kevin built his career the hard way: no undergraduate degree, but substantial industry experience, relentless curiosity, and years of self-directed learning on the job — supported by short courses through platforms like Coursera and DataCamp.

That learning gave him momentum, but he reached a familiar ceiling: lots of knowledge in pockets, without the depth and consistency needed to level up.

That's where the Postgraduate Diploma in Data Science with the Data Science Institute made the difference. Kevin found the diploma delivered far more depth — and, crucially, a structured, progressive pathway that connected concepts properly. The approach paid huge dividends in data management, where he tightened up how data was combined, cleaned, and validated — unlocking real and unexpected insights that would have been easy to miss with ad-hoc methods.

With the right structure and support, experienced professionals can convert self-taught skill into rigorous mastery.

Just as important, the programme strengthened his ability to communicate. Kevin can now discuss statistical methods with confidence with company management — moving from "I think" to "here's the evidence, the method, and what it means for the business." And the biggest milestone? Kevin has now started the Data Science Institute's MSc — despite not having an undergraduate degree — by demonstrating capability through his work and prior learning.

His research focus is highly relevant to the learning sector: tackling the "Cold Start" problem — how to predict outcomes when there's limited historical data, especially for new online learning programmes.

Kevin's journey is a powerful reminder: with the right structure and support, experienced professionals can convert self-taught skill into rigorous mastery and step confidently into postgraduate research.