NUS Data Science Student Challenge 2017
The NUS Data Science Student Challenge is part of a global series of Hackathons. These events are designed to ignite a passion for the amazing things made possible by Data Science and to help students develop the skills necessary to harness the power of analytics.
A variety of learning resources will be made available and the hackathon will suit students with a background in Computer Science, Data Science, Engineering, Statistics, Analytics and Math.
With amazing prizes, workshops, and swag for all participants, it’s a great opportunity to build your skills, meet other top students, have fun and learn. The NUS Data Science Student Challenge is a collaboration between Microsoft and NUS School of Computing and the NUS Students' Computer Club.
More information and tickets coming soon.
FAQs
How much does this event cost?
Nothing!
Are there ID requirements or an age limit to enter the event?
Yes, you need to be over 18 and a current student. Don't forget your student ID!
What is a hackathon?
Hackathons are events where people compete to build cool projects in under 24 hours. All skill levels are highly welcome, don't be intimidated.
Do I need to have a team?
You're more than welcome to make a team before the event, but loads of people turn up without a team. So don't worry, we'll help everyone find a team before you start hacking. To be eligible for prizes, your team should have no more than 4 people.
Will there be food?
Absolutely, and lots of it!
What time should I arrive?
We'll be putting up a schedule soon.
What should I bring?
A laptop is essential. Bring all the chargers you need, cables and anything else you need. It's recommended to bring some warm clothing, a change of clothes and some toiletries!
Can I sleep at the venue?
Yes! We'll do our best to give you a warm, quiet space to crash. You are welcome to leave overnight to sleep in a real bed, but many hackers sleep at the venue!
Do you have another question?
Drop us an email: info@dsschack.com and we'll get back to you!
Location
Dates
to 7th May 2017 - 04:00 PM