National Data Science Challenge logo

23 Feb - 30 Mar 2019

The largest data science competition in Singapore


The objectives of the National Data Science Challenge (NDSC) are to:

  • Equip students and professionals with essential technical skills and expertise to prepare them for the digital and data-driven economy
  • Bring the tech community closer through working together and knowledge sharing
  • Provide an environment for the development of creative new ideas in Data Science

Through this competition, we hope to showcase the ubiquity and usefulness of data in getting insights, thus reinforcing Singapore’s emphasis on driving the digital economy and the use of big data.

About the Challenge

Free & Fun
Free & Fun

The National Data Science Challenge is free of charge! All you have to do is register and join in the fun.


Open to students currently enrolled in junior colleges, polytechnics or universities in Singapore (including exchange students) as well as non-tech and tech professionals working in Singapore.


Form a team of 3-4 members and execute your project over 4 weeks.

If you sign up individually, we will assign you to a team.

Training Workshops
Training Workshops

Sign up early for the chance to attend training workshops specially organized by our training partners.

Training classes catering to both beginner and advanced participants are available.


The theme of the National Data Science Challenge 2019 is Product Information Extraction in the Wild - a challenge to extract insightful knowledge from large volumes of textual and visual data using Machine Learning Analytics.

Beginner Category

Product Category Classification

  • Students currently enrolled in junior colleges, polytechnics or universities in Singapore (including exchange students).
  • Non-tech professionals working in Singapore who have little or no programming and/or Data Science experience
Advanced Category

Product Information Extraction

  • Students currently enrolled in junior colleges, polytechnics or universities in Singapore (including exchange students).
  • All non-tech and tech professionals working in Singapore.

*Teams comprising students and professionals will be reviewed on a case-by-case basis.


The Top 3 teams and the Most Creative Team from each category will win attractive cash prizes!


  • SGD 3000
  • Full-time / internship opportunities in Shopee
  • Return ticket to visit Shopee Shenzhen Tech Centre

1st Runner-up

  • SGD 2000
  • Full-time / internship opportunities in Shopee

2nd Runner-up

  • SGD 1000
  • Full-time / internship opportunities in Shopee

Most Creative Team

  • SGD 800
  • Full-time / internship opportunities in Shopee

All participants will receive a certificate of accomplishment at the end of the closing ceremony only if their project has been submitted successfully before the deadline.


Our panel of prestigious judges will be selecting teams from each category with the most unique and creative solutions.

Professor Bo An
Professor Bo An
Associate Professor, School of Computer Science and Engineering, NTU

Professor Bo An is an Associate Professor at Nanyang Technological University, Singapore whose research interests include artificial intelligence, multiagent systems, game theory, and optimization. He is recipient of numerous awards including INFORMS Daniel H. Wagner Prize for Excellence in Operations Research Practice, winner of 2017 Microsoft Collaborative AI Challenge, and 2018 IEEE Intelligent Systems' AI's 10 to Watch.

Professor Dai Bing Tian
Professor Dai Bing Tian
Assistant Professor of Information Systems, SMU
Director, MITB (Artificial Intelligence) Programme

Dr. Dai Bing Tian is an Assistant Professor at the School of Information Systems, Singapore Management University. His main research interests are data mining and machine learning, and he teaches master-level machine learning courses and algorithm design courses. He is also the director for the Master of IT in Business (Artificial Intelligence) programme.

Professor Ng See Kiong
Professor Ng See Kiong
Director, Translational Research (Data Science)
Professor(Practice), Computer Science, NUS

Professor Ng See Kiong is a Professor of Practice at the National University of Singapore, and Director, Translational Research for the university's Institute of Data Science. As an early practitioner of data mining and machine learning with diverse and cross-disciplinary research interests, his research mission is to develop artificial intelligence techniques to obtain better insights and understanding of the world through computation of data.

Dr. Pan Yaozhang
Dr. Pan Yaozhang
Head of Data Science, Shopee

Dr. Pan Yaozhang is the Head of Data Science at Shopee, having built the data science team from scratch. She is committed to introducing the most advanced technologies of machine learning and artificial intelligence into industrial and commercial applications. Before Shopee, she worked for Grab, Greenwave Systems, and was a research scientist at the Institute for Infocomm Research, A*STAR.


12 Nov 2018

Registration Opens

15 Dec 2018

Training Workshop for Beginner Category

16 Dec 2018

Training Workshop for Advanced Category

16 Feb 2019

Training Workshop by Supporting Training Partners

23 Feb 2019

Opening Ceremony (Guest-of-Honour: Minister Ong Ye Kung)

23 Mar 2019

Deadline for Project Submission

30 Mar 2019

Closing Ceremony & Prize Presentation

Training Workshops

Register for the challenge and indicate your interest to attend our exclusive training workshops in the registration form. A separate link will be sent to you to register for the training workshop. Vacancies are limited so register now to secure a spot!

15 Dec 2018

Beginners Training

(Open to Beginner participants)

  • Introduction to Python
  • Introduction to Data Science and Machine Learning
  • Linear Regression
  • Logistics Regression
  • Decision Tree
  • Ensemble Learning
  • Support Vector Machine
  • Hands-on Project
16 Dec 2018

Advanced Training

(Open to Advanced participants)

  • Overview of Tensorflow
  • Elements of Tensorflow
  • Visualization of Computational Graph
  • Train your model with Tensorflow
  • Your first neural Network with Tensorflow
  • Advanced topics in Tensorflow
16 Feb 2019

Combined Training

(Vacancies will open in 2019)

Product Classification by Code Gakko
  • How to set up a simple data processing pipeline
  • Understanding what state-of-the-art neural networks look like
  • Using neural networks to classify and locate product in images
Data Analysis with pandas by Hackwagon Academy
  • Understanding the basic functionalities of pandas library
  • Application of pandas in preparing data and descriptive data analysis
  • Manipulation of data into appropriate formats and data cleaning with pandas
Data Science 101 by General Assembly
  • Learn what data scientists do and the types of problems they solve. Walk through the typical data science workflow and see how the pros identify powerful business predictions.
  • Explore key tools and processes data scientists use to analyze, visualize, and model data and apply what you’ve learned to a data set to produce your own recommendations.
  1. For participants who are keen to attend both the Beginners and Advanced Training workshops, please contact and check for available vacancies.
  2. Participants who attend the training workshops on 15 or 16 Dec 2018 must pay a deposit of SGD 20 per pax.
  3. Participants will be refunded only if they participate in the National Data Science Challenge and submit the project successfully as a team.


Registration closes on 9 Feb 2019.

Are you looking for a new challenge?

Do you want to solve problems like a Data Scientist?

Come join us in this challenge today!

Register Now

Frequently Asked Questions

Q 1 :Can I participate in both Beginner and Advanced training workshops?

This is subject to vacancy, as priority will be given to participants registered in the respective categories. If there are vacancies for both training workshops, we will definitely allow you to participate in both.

Please email to check for vacancies nearer to the dates of the training workshop.

Q 2 :I am not based in Singapore during the course of the competition, can I still participate in the challenge?

The challenge is currently only open to participants who are based in Singapore.

Q 3 :I am based in Singapore but I will not be able to attend the opening ceremony on 23 Feb 2019, can I still take part in the competition?

As the challenge details will only be revealed during the opening ceremony on 23 Feb 2019, we will highly encourage you to attend the opening ceremony.

You can participate in the challenge as long as a member of your team is present for the opening ceremony.

Q 4 :Am I required to code in python?

There is no restriction on the programming language.

Q 5 :I am a tech professional but with no background in data science or I have just just graduated and joined the tech industry, can I still participate in the beginner category?

This will be reviewed on a case-by-case basis.

Q 6 :My team consists of both students/non-tech professionals and tech professionals. Do we sign up for the Beginner or Advanced category?

You can sign up for either category. However, registration for the Beginner category of teams consisting of both students/non-tech professionals and tech professionals will be reviewed on a case-by-case basis.

Do you have any questions about the National Data Science Challenge?

Contact Us