Research
Open data on tech careers in Malaysia.
Almost nobody publishes real numbers about this market, so we publish ours - with the methodology shown, the limitations named, and an open licence so the figures can travel.
Edition 1 · August 2026
The Confidence Gap: What 553 People Who Paid to Retrain Are Still Afraid Of
Half of these students rate their confidence of finishing at 10 out of 10, and not one rates it below 7. Asked in their own words, on the same form, 39% say the thing they fear most is whether they can learn it at all. Original first-party research on enrolled, paying students. No placement, salary or employment-outcome claims.
Edition 1 · August 2026
The Underemployment Paradox: 1.96m Malaysian Graduates Below Their Qualifications
Malaysia has near-record-low graduate unemployment and record graduate underemployment at the same time, while tens of thousands of high-value digital roles are approved every quarter. An analysis of official DOSM and MDEC figures, fully sourced and numbered.
2026 Edition · Updated August 2026
The State of AI-Native Developer Hiring & Salaries in Malaysia
What developers earn by seniority, the AI-fluency pay premium, the remote-for-US multiplier, the junior-hiring paradox, and the macro forces behind them - compiled from 25+ external sources including MDEC, PIKOM, PwC, TalentCorp, Stack Overflow and Stanford.
Edition 1 · August 2026
What Stops People Retraining for Tech? 325 Applications Analysed
Original first-party research on the two barriers that stop people retraining, drawn from 325 complete applications plus a second table of 553 enrolled students. Money and self-doubt block people in a near-exact dead heat, and stated constraints match revealed behaviour. No placement, salary or employment-outcome claims.
How we publish
- Every figure carries its denominator. If a number comes from ten records, it says so next to the number, not in a footnote.
- Limitations are a section, not a disclaimer. Where our data cannot support a claim, we say so plainly rather than publishing a number we could not defend.
- Our interest is disclosed. We are a school writing about the value of training, which is a conflict worth naming on every page rather than burying.
- The figures are free to reuse. Published under CC BY 4.0: quote, chart or republish them, including commercially, with attribution and a link.
Journalists and researchers: for category definitions, methodology questions, or a correction, write to support@sigmaschool.co.
Numbers are better than opinions.
Including about whether this path is for you.
The strongest evidence about your own fit isn't in anyone's dataset - it's a week of actually building. Six real projects, a live instructor session, one signup, no card.