Data Science Competition

What this program actually is

Data Science Competition is a competition run by UPenn Wharton Global Youth. It's built for 9th–12th grade students who want to enter a competition hosted by UPenn Wharton Global Youth in your field of interest.

There's no cost to participate. That covers the program itself — check the official page separately for whether travel, housing, or meals are included.

Who it's for

Programs like this get the strongest applications from students who can point to a specific reason they want this one — not just "any research program" or "any internship."

• Students in 9th–12th grade — check the official page for exact grade cutoffs before applying.
• Open to students nationwide (and often internationally — verify on the official site).

Typical day-to-day in programs like this

The following describes what participants generally do in competitions of this shape — not a confirmed schedule for Data Science Competition. Always check the official program page for the actual activities.

• Build or write a submission on your own timeline — the competition is the application.
• Get feedback from judges and, at some stages, from peers and mentors.
• If you place, you'll have a concrete, external validation you can put on any future application.

How to apply well

Selection is competitive but not unrealistic. A thoughtful application usually beats a decorated one.

• Start with the deadline: check the official page for the exact date. Work backwards — most students underestimate how long recommendations and essay drafts take.
• Read the official page twice before writing anything. Note the exact prompts and word counts.
• Answer the actual question. Reviewers read hundreds of essays; specificity beats polish.
• Submit at least 24 hours before the deadline. Portals crash. Files fail to upload. Give yourself the buffer.

Cost, funding & logistics

Cost and logistics kill more applications than eligibility does. Sort these out before you get emotionally invested.

• Format: Fully remote — no travel needed.
• There's no cost to participate. That covers the program itself — check the official page separately for whether travel, housing, or meals are included.

After the program

The most valuable thing you take from Data Science Competition is usually the concrete outcome itself, not a network — this kind of competition doesn't come with guaranteed mentors or peers. Treat it as one data point in a bigger application story.

Add the program to your resume, but also write down (for yourself) what specifically you learned, what you'd do differently, and what question you now want to answer next. That reflection is what turns a summer into a direction.