Outcomes and Effectiveness of AI-related SkillsFuture Programmes
Ministry of EducationSpeakers
Summary
This question concerns the monitoring of employment outcomes and wage changes for AI-related SkillsFuture programmes, as raised by Dr Wan Rizal to the Minister for Education. Minister Desmond Lee responded that SkillsFuture Singapore tracks placement for transition programmes, noting a 44% employment rate for ICT-related graduates within six months. He explained that wage outcomes are not tracked due to multiple external factors, and short courses focus on upskilling rather than job placement. Effectiveness is instead measured via Training Quality and Outcomes Measurement surveys that track learner feedback on job performance and responsibilities. These quality ratings are published on the MySkillsFuture portal to guide learners in selecting suitable AI-related training courses.
Transcript
19 Dr Wan Rizal asked the Minister for Education regarding participants in AI-related SkillsFuture programmes, whether the Ministry tracks (i) employment in AI-related roles within six months and (ii) median wage change within 12 months of completion.
Mr Desmond Lee: The Ministry of Education and SkillsFuture Singapore (SSG) adopt a variety of quality and outcome metrics to assess the effectiveness of SkillsFuture-funded Continuing Education and Training (CET) programmes, including programmes that equip learners with AI-related skills.
For placement programmes, such as the SkillsFuture Career Transition Programmes (SCTPs), SSG tracks the placement rates. Of the 8,000 learners who completed their ICT-related SCTP between June 2022 and March 2025, 44% found new roles or employment within six months of SCTP completion (as of 30 September 2025). We have not tracked the wage outcomes of these SCTP learners, as there can be multiple factors that affect their wages.
We generally do not track the placement outcomes of shorter courses, which are intended to equip learners with up-to-date skills to keep up with technological advancements, remain relevant and perform better in their current roles.
Beyond placement outcomes, SSG also tracks learner feedback through the Training Quality and Outcomes Measurement (TRAQOM) survey. This includes feedback on programme quality and perceived outcomes, including whether the training has helped individuals to be more effective at their jobs, improve their work performance or allow them to take on enhanced responsibilities at work. The TRAQOM ratings of each course, including AI-related courses, are published on MySkillsFuture portal to guide learners in selecting suitable training programmes.