Rahmat Hidayatullah
Head of Data Science
XLSMART
Certified by Institut Teknologi Bandung.
Applied Data Science
with AI.
The data science program for the AI era, built for professionals ready to move from analysis to predictive modelling and AI enabled data products.
Next cohort: December 2026
13 Weeks
Duration
Hybrid
Online + ITB Campus
ITB Certified
Certificate + microcredential
Institut Teknologi Bandung
Est. 1920
Indonesia's #1
technical university
Founded in 1920, ITB has shaped a century of Indonesian science and engineering.
#255
QS World Rankings 2026
#1
Engineering & Technology in Indonesia
Where Indonesia's top engineers and data professionals are trained
For over a century, ITB alumni have led the technical work across Indonesian industry and technology.
#1 in Indonesia for Mathematics
Ranked #351–400 worldwide in the QS Rankings by Subject 2026, reflecting ITB's broader academic strength in the mathematical disciplines this program draws on.
Why Now
AI expanded what you can build.
AI changed what you can do with your analytics. It widened the data you can use, the systems you can build and the skills worth adding.
More data is usable
Reviews, tickets, documents and conversations used to be too messy to analyze at scale. LLMs made that kind of text usable.
Building is faster
SQL, Python, model boilerplate, tests and documentation are accelerated by AI coding agents. Implementation cost dropped.
New solutions are within reach
Structured extraction, semantic search, RAG and systems that combine ML with LLMs are now practical for small teams.
AI makes building faster. The hard part is knowing what to build, how to validate it, and when to trust it.
Judgment
- What to build
- Which approach fits
- Whether the result can be trusted
Fundamentals
- Statistics
- Predictive modeling
- Data product engineering
Why Join This Program
Move from analysis to building AI-enabled data products.
You already report and explain. Now learn to predict, build with AI, and ship trusted data products.
-
Stage 1
Report
What happened?
SQL · dashboards · EDA
-
Stage 2
Diagnose
What likely drove it?
Correlation · drill-downs · root-cause analysis
-
Stage 3
Predict
What happens next?
Predictive modeling · forecasting
-
Stage 4
Build with AI
How can AI accelerate this?
AI coding agents · unstructured data
-
Stage 5
Own to Operationalize
Can this keep working reliably?
Model evaluation · monitoring · governance
Examples of operational data products
These are four examples. In the capstone you build one around your own data and decision.
What Makes This Program Different
Serious data science, built the modern way.
You already know how to analyze data. Now learn to build predictive models and AI-enabled data products.
AI as the working method
From Week 2, AI is part of how you work. From Week 5, a coding agent works inside your own repository under a Safety Gate, building pipelines and running tests under your review.
ITB-grade statistical rigor
AI speeds up the build, but statistics are what decide whether the result can be trusted. Validation, experimentation and error costs run through every module.
You leave with a working data product
A validated model behind a live interface, solving a real problem from your own work, defended live in front of a panel.
Taught by ITB faculty and practitioners
Academic sessions led by ITB faculty. Applied sessions led by industry practitioners. Academic rigor and industry practice across the program.
Credential
ITB-endorsed
certificate
Graduate with a credential from one of Asia's leading technical universities.
Certificate of Completion
Issued and verifiable by ITB upon completing all program requirements.
Microcredential
Optional 1 SKS in Metode Statistika from Fakultas Teknologi Industri, ITB. Counts toward a master’s at ITB.
Curriculum
From validated analysis, to predictive modelling, to AI-enabled data products.
Each module ends with a practical checkpoint that proves what you can do.
Kickoff
How to learn data science with AI
Week 1
Kickoff
How to learn data science with AI
Week 1
Module 1 · Validate
Decision, data & statistical foundations
Weeks 2–4
Module 1 · Validate
Decision, data & statistical foundations
Weeks 2–4
Module 2 · Build
AI-assisted predictive modelling & model engineering
Weeks 5–8
Module 2 · Build
AI-assisted predictive modelling & model engineering
Weeks 5–8
Module 3 · Operationalize
AI-enabled data products & governance
Weeks 9–10
Module 3 · Operationalize
AI-enabled data products & governance
Weeks 9–10
Capstone · Defend
Build it. Stress-test it. Defend it.
Weeks 11–13
Capstone · Defend
Build it. Stress-test it. Defend it.
Weeks 11–13
Capstone Project
Build a real data product. Defend it to experts.
You bring a real problem from your own work and turn it into a validated, deployed data product over the course of the program.
1
Choose your problem
Pick a real decision from your own work at the start of the program, or use an anchor case if your data can't leave the building.
2
Build and stress-test it
Over the program you build the statistical evidence, the model, the interface and the governance plan. Then mentors challenge every part of it.
3
Defend it to a panel
Present your model to industry practitioners, live, with no AI in the room. Top capstones are presented again on Graduation Day at ITB campus, in front of ITB faculty. Your statistics, your model, your call.
Enterprise (30+ Seats)
Company-Specific Use Case
Build on a real decision from your organization. NDA-ready framework, or an anchor case if your data can't leave the building.
How You'll Learn
Your Learning Experience
A hybrid program for working professionals. Live online sessions on weekday evenings, with on-campus days at ITB Bandung.
On-Campus Sessions at ITB
Week 1 opens the program: learn onsite from ITB faculty and network with your peers. Week 13 closes it with graduation day, capstone presentations and the certificate ceremony at ITB campus.
Live Online
Weekday Evening Sessions
Live lectures and workshops, taught in real time. Every session is recorded so you can catch up.
Tuesday & Thursday, 19:30–21:30 WIB
Mentoring
A mentor across the whole program
You get one mentor for the whole program, so there's someone to ask when you're stuck. There's a mid check-in at Week 6, and two capstone clinics in Week 11 before your panel defense.
Who Teaches You
Learn from ITB's academics and senior data science practitioners.
The statistics come from ITB's Faculty of Industrial Technology. The applied curriculum is shaped by practitioners who ship data science at Indonesia's largest companies.
Titah Yudhistira, S.T., M.T., Ph.D.
Fakultas Teknologi Industri
Institut Teknologi Bandung
Muhammad Akbar, S.T., M.T., Ph.D.
Fakultas Teknologi Industri
Institut Teknologi Bandung
More ITB faculty and practitioners join the lineup, announced before the cohort starts.
Who This Is For
You already have the data foundations. This is the next step.
An advanced program for people who already report and explore, and are ready to own prediction, automation and governance.
Data & BI Analysts
You already report and explore. Now you want to own prediction and validation.
Analytics Engineers
You're strong on pipelines. What's missing is the statistical and model judgment to go with them.
Quantitative Professionals
Risk, product, marketing, operations, research. You're comfortable with numbers and moving toward applied AI.
RevoU Data Analytics Graduates
The direct progression from foundational analytics into applied data science.
Prerequisites
- Basic SQL
- Basic Python and pandas
- Descriptive statistics and distributions
- Comfort reading dashboards and analytical output
Don't have the prerequisites yet? Start with Data Analytics with AI. It's the on-ramp, and our graduates come back here.
See Data Analytics with AIInvestment
Program fee
13 weeks of structured learning, an ITB credential, and a validated data product built on your own work.
Individual Enrollment
Early Bird PriceFull access to the 13-week program, on-campus sessions, and mentoring.
IDR 15.999.000 /person
IDR 16.999.000 /person
Installment options available.
ITB / RevoU alumni
IDR 16.999.000 IDR 14.499.000
RevoU Data Analytics alumni
IDR 16.999.000 IDR 11.999.000
- 13 weeks of live sessions Tue & Thu, 19:30–21:30 WIB
- Two on-campus days at ITB Ganesha
- A dedicated mentor throughout the program, plus two capstone stress-test clinics
- Capstone with panel defense
- ITB × RevoU Certificate of Completion
- Claude Code access from Week 5 onwards
- Alumni and AI community access
FAQ
Before you apply.
Is this suitable for beginners? +
No. This program starts where foundational analytics ends. You're expected to arrive with working SQL, basic Python, and descriptive statistics. If you're starting from zero, Data Analytics with AI is the right first step, and it leads here.
How is this different from Data Analytics with AI? +
Data Analytics with AI teaches you to understand the business, analyze the data and communicate the decision. This program teaches you to build the model, automate the workflow, and deploy and govern the data product. One gives you the answer. The other gives you a system that keeps producing answers.
What if I don't meet the prerequisites? +
Admissions will tell you during the process, and route you to Data Analytics with AI. The gate exists so the program can move at pace. Without it, we'd spend weeks reteaching fundamentals and dilute the whole thing.
What is the 1 SKS microcredential? +
An optional 1 SKS credit in Metode Statistika from Fakultas Teknologi Industri, ITB. Submit your Certificate of Completion, sit the assessment at ITB campus, and pay the credit fee. It is most useful if you plan to continue to a master’s at ITB, where the credit can count. The Certificate of Completion is what you get either way.
How much time does it take each week? +
Four live hours on Tuesday and Thursday evenings, plus lab work and capstone build time. Across the program that's about 52 live hours and 90 hours of structured practice.
Can I use AI in the capstone? +
Yes, and you're expected to. Every meaningful contribution gets logged and verified. The defense is the exception: no AI in the room. You explain your own data, statistics, model and recommendation.
Ready to step up from analysis?
© 2026 RevoU × Institut Teknologi Bandung. All rights reserved.