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This pilot study aims to assess the acceptability of Open University’s training platform called Gamified Intelligent Cyber Aptitude and Skills Training course (GICAST), as a means of improving cybersecurity knowledge, attitudes, and behaviours in undergraduate students using both quantitative and qualitative methods. A mixed-methods, pre-post experimental design was employed. 43 self-selected participants were recruited via an online register and posters at the university (excluding IT related courses). Participants completed the Human Aspects of Information Security Questionnaire (HAIS-Q) and Fear of Missing Out (FoMO) Scale. They then completed all games and quizzes in the GICAST course before repeating the HAIS-Q and FoMO scales as well as several open-ended questions. Pre-training HAIS-Q Knowledge, Attitude and Behaviour all improved from ‘reasonable’ pre-training levels to become ‘very high’ following training with large effect sizes estimated. FoMO improved to a lesser degree but also predicted the degree of HAIS-Q improvement suggesting it is relevant to the impact of this training course. Qualitatively, five key themes were generated: enjoyment, engagement, usability of GICAST, content relevance, and perceived educational efficacy. Overall, sentiment towards training was very positive as an enjoyable engaging and usable course. GICAST was found to be a feasible course for a wide range of students at a UK university: overall the training improved cyber-security awareness on a well validated measure with outcomes comparable to information-security-trained employees of a secure workplace. Despite a diversity of views about content, the course appears to be well suited to the non-IT undergraduate sector and may suit wide uptake to enhance students’ employability in a wide range of cybersecurity relevant contexts.