dx+=(x[i]-mx)**2;dy+=(y[i]-my)**2;}return n/Math.sqrt(dx*dy);}; function linreg(x,y){const b=corr(x,y)*std(y)/std(x); const a=mean(y)-b*mean(x);return{slope:b,intercept:a};} const forecast=(m,x)=>m.slope*x+m.intercept; // DOSM: GDP growth, CPI, labour force, population census SELECT year, region, AVG(gdp_per_capita) FROM stats GROUP BY year; df.groupby(['state']).agg({'population':'sum','urban_rate':'mean'}); model.fit(X_train,y_train);preds=model.predict(X_test); kpi = { unemployment: 3.2, inflation: 1.8, gdp_growth: 4.7 }; for (const row of dataset) { totals[row.state] += row.value; } const p95 = quantile(samples, 0.95); const mean=a=>a.reduce((s,x)=>s+x,0)/a.length; const variance=a=>{const m=mean(a);return mean(a.map(x=>(x-m)**2));}; const std=a=>Math.sqrt(variance(a)); const forecast=(m,x)=>m.slope*x+m.intercept; // DOSM: GDP growth, CPI, labour force, population census SELECT year, region, AVG(gdp_per_capita) FROM stats GROUP BY year; df.groupby(['state']).agg({'population':'sum','urban_rate':'mean'}); model.fit(X_train,y_train);preds=model.predict(X_test); kpi = { unemployment: 3.2, inflation: 1.8, gdp_growth: 4.7 }; for (const row of dataset) { totals[row.state] += row.value; } const p95 = quantile(samples, 0.95); const mean=a=>a.reduce((s,x)=>s+x,0)/a.length; const variance=a=>{const m=mean(a);return mean(a.map(x=>(x-m)**2));}; const std=a=>Math.sqrt(variance(a)); const zscore=(x,a)=>(x-mean(a))/std(a); const corr=(x,y)=>{const mx=mean(x),my=mean(y); let n=0,dx=0,dy=0;for(let i=0;i<x.length;i++){n+=(x[i]-mx)*(y[i]-my);

df.groupby(['state']).agg({'population':'sum','urban_rate':'mean'}); model.fit(X_train,y_train);preds=model.predict(X_test); kpi = { unemployment: 3.2, inflation: 1.8, gdp_growth: 4.7 }; for (const row of dataset) { totals[row.state] += row.value; } const p95 = quantile(samples, 0.95); const mean=a=>a.reduce((s,x)=>s+x,0)/a.length; const variance=a=>{const m=mean(a);return mean(a.map(x=>(x-m)**2));}; const std=a=>Math.sqrt(variance(a)); const zscore=(x,a)=>(x-mean(a))/std(a); const corr=(x,y)=>{const mx=mean(x),my=mean(y); let n=0,dx=0,dy=0;for(let i=0;i<x.length;i++){n+=(x[i]-mx)*(y[i]-my); dx+=(x[i]-mx)**2;dy+=(y[i]-my)**2;}return n/Math.sqrt(dx*dy);}; function linreg(x,y){const b=corr(x,y)*std(y)/std(x); const a=mean(y)-b*mean(x);return{slope:b,intercept:a};} for (const row of dataset) { totals[row.state] += row.value; } const p95 = quantile(samples, 0.95); const mean=a=>a.reduce((s,x)=>s+x,0)/a.length; const variance=a=>{const m=mean(a);return mean(a.map(x=>(x-m)**2));}; const std=a=>Math.sqrt(variance(a)); const zscore=(x,a)=>(x-mean(a))/std(a); const corr=(x,y)=>{const mx=mean(x),my=mean(y); let n=0,dx=0,dy=0;for(let i=0;i<x.length;i++){n+=(x[i]-mx)*(y[i]-my); dx+=(x[i]-mx)**2;dy+=(y[i]-my)**2;}return n/Math.sqrt(dx*dy);}; function linreg(x,y){const b=corr(x,y)*std(y)/std(x); const a=mean(y)-b*mean(x);return{slope:b,intercept:a};} const forecast=(m,x)=>m.slope*x+m.intercept; // DOSM: GDP growth, CPI, labour force, population census SELECT year, region, AVG(gdp_per_capita) FROM stats GROUP BY year;

for (const row of dataset) { totals[row.state] += row.value; } const p95 = quantile(samples, 0.95); const mean=a=>a.reduce((s,x)=>s+x,0)/a.length; const variance=a=>{const m=mean(a);return mean(a.map(x=>(x-m)**2));}; const std=a=>Math.sqrt(variance(a)); const zscore=(x,a)=>(x-mean(a))/std(a); const corr=(x,y)=>{const mx=mean(x),my=mean(y); let n=0,dx=0,dy=0;for(let i=0;i<x.length;i++){n+=(x[i]-mx)*(y[i]-my); dx+=(x[i]-mx)**2;dy+=(y[i]-my)**2;}return n/Math.sqrt(dx*dy);}; function linreg(x,y){const b=corr(x,y)*std(y)/std(x); const a=mean(y)-b*mean(x);return{slope:b,intercept:a};} const forecast=(m,x)=>m.slope*x+m.intercept; // DOSM: GDP growth, CPI, labour force, population census SELECT year, region, AVG(gdp_per_capita) FROM stats GROUP BY year; const variance=a=>{const m=mean(a);return mean(a.map(x=>(x-m)**2));}; const std=a=>Math.sqrt(variance(a)); const zscore=(x,a)=>(x-mean(a))/std(a); const corr=(x,y)=>{const mx=mean(x),my=mean(y); let n=0,dx=0,dy=0;for(let i=0;i<x.length;i++){n+=(x[i]-mx)*(y[i]-my); dx+=(x[i]-mx)**2;dy+=(y[i]-my)**2;}return n/Math.sqrt(dx*dy);}; function linreg(x,y){const b=corr(x,y)*std(y)/std(x); const a=mean(y)-b*mean(x);return{slope:b,intercept:a};} const forecast=(m,x)=>m.slope*x+m.intercept; // DOSM: GDP growth, CPI, labour force, population census SELECT year, region, AVG(gdp_per_capita) FROM stats GROUP BY year; df.groupby(['state']).agg({'population':'sum','urban_rate':'mean'}); model.fit(X_train,y_train);preds=model.predict(X_test); kpi = { unemployment: 3.2, inflation: 1.8, gdp_growth: 4.7 };

Ministry of Economy and Department of Statistics Malaysia

DOSM Datathon 2026

Opening & OfficiationCeremony8 SEPTEMBER 2026

OFFICIATED BY

Siti Asiah Ahmad

Chief Statistician

Department of Statistics Malaysia

Date

8 September 2026 (Tuesday)

Time

3:35 PM – 6:00 PM

Platform

Microsoft Teams

Teams link

Provided via official email

Scroll

Participant resources / Briefing 01

DOSM Datathon 2026Briefing Slides

The official briefing deck presented to all participating institutions. Browse every slide here, or download the full PDF for offline reference.

Download PDF

Slides

PDF

Format

Language

Official participant briefing18 slides

Official briefing deck — released to all participantsUpdates via this portal and official email

Opening ceremony resources

Discover DOSM

Three presentations shared during the opening ceremony. Open any deck online or download the original PDF.

61 slides across 3 decks

Discover DOSM

OpenDOSM

17 slides

Explore open data, dashboards, data catalogues and the tools available through OpenDOSM.

Discover DOSM

Portal DOSM

28 slides

A guided tour of DOSM statistics, publications, services, dashboards and data portals.

Discover DOSM

Tourism Statistics

16 slides

Discover Malaysia's domestic tourism performance, key concepts and statistical data sources.

Media kit locked until registration opens

Will unlock on 10 August 2026

BRIEFING

Opening ceremony & competition briefing

For IPTA/IPTS students — the 8 September 2026 ceremony on Microsoft Teams, with the presenters and their Discover DOSM sessions.

1/8

Unlocks on 10 August 2026

Official announcement

The Media Kit — Official Posters

Every official DOSM Datathon 2026 poster in one deck. Swipe or use the arrows to flip through the stack, then download and share the artwork with your faculty, club or organisation. New posters simply join the deck as they are released.

Media kit unlocks on 10 August 2026

SDG 8

Decent Work & Economic Growth

SDG 9

Industry, Innovation & Infrastructure

SDG 12

Responsible Consumption & Production

SDG 14

Life Below Water

Department of Statistics Malaysia (DOSM)

Know More About Us

The Department of Statistics Malaysia was established in 1949 under the Statistics Ordinance 1949, and was initially known as the Bureau of Statistics. In 1965 it was renamed and began operating under the Statistics Act 1965 — expanding its role to cover data across every economic and social sector.

Today, DOSM is the leading government agency responsible for collecting, interpreting and disseminating up-to-date statistics that monitor the economic and social performance of a developing nation, with headquarters in Putrajaya and state offices across Malaysia.

AI & Analytics
Data-driven Insight
Student Collaboration
National Reach

Theme 2026

"Leveraging ML and AI to develop innovative solutions for Sustainable Tourism Industry in Malaysia"

Weeks

DOSM Datathon 2026 e-banner (locked until registration opens)

E-banner unlocks when registration opens

Will unlock on 10 August 2026

Timeline

From kickoff to the Grand Finale

Eight milestones across three months — from promotion to the champions being crowned at the national closing ceremony.

1
3 August 2026
Promotion Begins
Nationwide campaign kicks off across DOSM channels and universities.
2
10 – 28 August 2026
Registration
Team sign-ups open to diploma & undergraduate students nationwide. Closes 28 Aug at 5:00 PM.
3
8 SEPTEMBER 2026
Competition Briefing
Full briefing session covering rules, datasets and judging criteria.
4
8 – 22 September 2026
Competition Period
Teams work on their prototypes, reports and dashboards.
5
23 Sept – 2 October 2026
Shortlisting Process
Judges review submissions and shortlist top-performing teams.
6
5 October 2026
Top 10 Finalists Announced
Shortlisted finalist teams revealed across DOSM channels.
7
19 October 2026
Live Pitching
Grand finale — top 10 teams pitch live to expert judges.
8
20 October 2026
Winners Announcement
Champions crowned at the national closing ceremony.

1
3 August 2026
Promotion Begins
Nationwide campaign kicks off across DOSM channels and universities.
2
10 – 28 August 2026
Registration
Team sign-ups open to diploma & undergraduate students nationwide. Closes 28 Aug at 5:00 PM.
3
8 SEPTEMBER 2026
Competition Briefing
Full briefing session covering rules, datasets and judging criteria.
4
8 – 22 September 2026
Competition Period
Teams work on their prototypes, reports and dashboards.
5
23 Sept – 2 October 2026
Shortlisting Process
Judges review submissions and shortlist top-performing teams.
6
5 October 2026
Top 10 Finalists Announced
Shortlisted finalist teams revealed across DOSM channels.
7
19 October 2026
Live Pitching
Grand finale — top 10 teams pitch live to expert judges.
8
20 October 2026
Winners Announcement
Champions crowned at the national closing ceremony.

Competition theme

Leveraging ML & AI for Sustainable Tourism in Malaysia

Explore any of these four tourism dimensions. Every submission is judged on rigour, creativity and real-world impact.

Economy

Economic Dimension

Assess tourism's contribution to the local economy through visitor spending, accommodation rates and local enterprise activity.

Social

Social Dimension

Measure tourism's impact on communities — including employment, resident satisfaction and cultural preservation.

Environment

Environmental Dimension

Examine tourism's environmental impact such as pollution, waste and the conservation of natural areas.

Tech & Governance

Technology & Governance Dimension

Leverage technology and data for smarter, more efficient and responsive tourism management.

Why join

More than a competition

A national stage to sharpen applied analytics, connect with the data community, and turn official statistics into ideas that shape Malaysia's future.

Learn by doing

Work with real DOSM microdata and hone applied analytics skills that matter after graduation.

Build your network

Meet peers, advisors and industry judges from Malaysia's data community.

Win recognition

Cash prizes, certificates and features on the official DOSM channels.

Launch your career

Top finalists are fast-tracked for DOSM internships and industry interviews.

Eligibility

General Requirements

Diploma & Undergraduate students from Malaysian higher institutions
Teams of 4 members and 1 academic advisor

Format

Competition Mode

Video presentation
Report & dashboard submission
Physical live pitching

Prize pool

RM 9,600 in cash prizes

A total cash prize pool of RM 9,600 awaits the top finalist teams — alongside certificates and recognition at the national closing ceremony.

RM 0

Total cash prize pool

Eligibility: Diploma & Undergraduate

RM 9,600

Cash Prize Pool

Distributed across the top finalist teams at the live pitching finale.

Official

Certificates & Recognition

DOSM-endorsed certificates and national recognition for all finalists.

Official handbook

The Datathon 2026 Booklet

Everything about the competition in one document — rules, submission requirements, judging stages, report and dashboard formats, prizes and contacts.

Pages

Chapters

PDF

Format

Download New tab

Jump to a chapter

Datathon booklet

Tip: click any chapter to jump straight to that page — press ESC to close the preview.

Live registration

Who's already in

Real-time participation counts for the IPTA / IPTS category, synced directly from the official registration list.

Teams registered

Participants

Institutions

Advisors

Registration Momentum

10 – 28 August 2026 · Teams Registered Per Day

Total teams

Total participants

MOST REGISTRATION DAY

—

Active days

Teams (Per Day)Participants (Per Day)

Participating Institutions

0 total

Registered teams

0 total

Figures refresh automatically every 60 seconds

Highlights

Moments from Datathon 2025

A look back at last year's finalists, mentors and the national closing ceremony — plus the official event montage.

DOSM DATATHON 2025

17 October 2025 (Friday)8:30 AM – 4:30 PM

Pusat Latihan Kenegaraan Lipis, Akademi Kenegaraan Malaysia Negeri Pahang

Photo gallery

9 Photos

Partners & Collaborators

Built with Malaysia's data community

DOSM

Department of Statistics Malaysia

NBDAC

National Big Data Analytic Centre

Hari Statistik Negara

MyStats Day

Kementerian Ekonomi

Ministry of Economy

FAQ

Answers before you register

Everything you need to know about eligibility, format, prizes and support during the competition.

Registration is open

Ready to shape Malaysia's data future?

Join Malaysia's premier student datathon — free to enter, national-scale impact, and RM 9,600 in cash prizes.

Registration closes 28 August 2026 at 11:59 PM

By the numbers

Learn More DOSM In Stats

0Year

DOSM Establishment

0+Year

Digital Publication

0+Million

Downloads Output

0+Million

Interactive Communication

Opening & OfficiationCeremony8 SEPTEMBER 2026

DOSM Datathon 2026Briefing Slides

Discover DOSM

OpenDOSM

Portal DOSM

Tourism Statistics

The Media Kit — Official Posters

Know More About Us

From kickoff to the Grand Finale

Promotion Begins

Registration

Competition Briefing

Competition Period

Shortlisting Process

Top 10 Finalists Announced

Live Pitching

Winners Announcement

Promotion Begins

Registration

Competition Briefing

Competition Period

Shortlisting Process

Top 10 Finalists Announced

Live Pitching

Winners Announcement

Leveraging ML & AI for Sustainable Tourism in Malaysia

Economic Dimension

Social Dimension

Environmental Dimension

Technology & Governance Dimension

More than a competition

Learn by doing

Build your network

Win recognition

Launch your career

General Requirements

Competition Mode

RM 9,600 in cash prizes

The Datathon 2026 Booklet

Jump to a chapter

Who's already in

Registration Momentum

Participating Institutions

Registered teams

Moments from Datathon 2025

Photo gallery

Built with Malaysia's data community

Answers before you register

Who is eligible to join?

How much does it cost?

Do we need advanced data science skills?

What datasets will we use?

How are submissions judged?

Where is the grand final held?

Ready to shape Malaysia's data future?

Learn More DOSM In Stats