Est. 2019 · North Avenue, Manila
Learn data the way a faculty teaches it — not a funnel.
Twelve to sixteen weeks of SQL, statistics, pipelines, and dashboards — graded by defences in front of working practitioners, closed by a hiring demo day you cannot graduate without surviving.
Cohort 12 applications close Nov 14. Tuition & calculator →
87%
hired within six months
87%
hired within 6 months of graduating
340
alumni across 11 cohorts
2.4×
median salary change after the immersive
18:1
students per faculty at peak
The catalogue
Three programs. One standard.
- 01
Data Analytics Immersive
Career-changers, analysts without formal training, and anyone told to "just look at the data."
12 weeks · Full-time · on campus
US$ 9,800
- 02
Data Engineering Practicum
Backend engineers, BI developers, and analysts ready to own the whole pipeline end to end.
16 weeks · Full-time · on campus + lab nights
US$ 12,400
- 03
Machine Learning Foundations
Working analysts, engineers, and quantitative professionals who need ML that survives production review.
10 weeks · Part-time · evenings, 12 weeks calendar
US$ 6,900
The twelve weeks
Foundations, measurement, craft, capstone.
Every week ends in something you made and something you defended. The calendar is fixed; the reading is not optional; the final ten minutes belong to a room of hiring managers.
Open the week-by-week plan- 01
Foundations — Weeks 1–3
Query, reshape, and question data fluently.
- 02
Measurement — Weeks 4–6
Statistics and experiments you can defend.
- 03
Craft — Weeks 7–9
Design, dashboards, and writing that gets forwarded.
- 04
Capstone — Weeks 10–12
A partner project and a stage at demo day.
Where graduates land
Capstone partners who sit at the demo tables.
Partner organisations hand us real, messy data in week ten and send reviewers in week twelve. Some hire. Some don't. Either way, your portfolio gets read by people who read hundreds of them.
- Citiq Financial
- Northgate Retail Group
- Meridian Health Registry
- Palm & Vane Logistics
- Manila Analytics Lab
- Weather Bureau (open data)
“Week six's cold defence terrified me. By demo day, a panel of four felt like a smaller room. I got the job offer on the second table.”
Kaye Torres · Analytics Immersive, Cohort 7 · now Data Analyst, Citiq Financial
Upcoming cohorts
| Cohort | Starts | Apply by | Seats | |
|---|---|---|---|---|
| Cohort 12 · Analytics Immersive | Jan 12, 2027 | Nov 14, 2026 | 8 of 24 seats left | Apply |
| Cohort 12 · Data Engineering | Feb 2, 2027 | Dec 5, 2026 | 15 of 20 seats left | Apply |
| ML Foundations · Evening 7 | Mar 9, 2027 | Feb 1, 2027 | 22 of 28 seats left | Apply |
| Cohort 13 · Analytics Immersive | Jun 1, 2027 | Apr 10, 2027 | Enrolling | Opens soon |