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McKinsey's Datathon: The City Cup

About the Event

At The City Cup, you will gain insight into the types of problems that McKinsey data scientists solve daily. You will leave with a better understanding of the meaningful work we do with clients and the impact we create, as well as the various opportunities that McKinsey offers for tech talent.

In addition to the hands-on hacking exercise, you will have ample time to network with McKinsey Analytics team and ask them any questions that are on your mind.

Prizes

  • 1st City Cup prize: 5,000 EUR and attendance at a conference of your choice (inclusive of the entry ticket, flights, and accommodation)
  • 2nd prize: 3,000 EUR
  • 3rd prize: 2,000 EUR

Note: Prizes for the 3 best submissions across the region plus more local prizes.

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Registration Details

141

Total registered

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Number of teams

Know where you stand

Spaces You Can Join

Data Science

Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!

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10.4K

Generative AI

Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!

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10.4K

Data Engineering

Over here, you can engage in discussions, ask questions, share insights, and converse about all things Data Science, from regression models to LLMs!

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10.4K

Frequently Asked Questions

Find the answers for the most frequently asked questions

Participants benefit from one-on-one feedback, publication on a respected platform, recognition from a global audience, and monetary rewards for each published article. Additionally, the top articles receive special rewards.

Each article must be original, and pass plagiarism and not AI generated content checks. You can submit multiple articles as long as each is distinct. Proper citation of all references and image sources is mandatory.

There are no specific requirements to register for the hackathon, although it is recommended to have some basic knowledge of the relevant topics, such as Data Science, Machine Learning, or Deep Learning, along with proficiency in a coding language, preferably Python.

In the Blogathon, an article typically explores a specific topic or idea within Data Science or Generative AI and is required to be at least 1000 words long. A guide, on the other hand, is a more comprehensive resource, covering all aspects of a particular subject in data science, and must be at least 2500 words long. Guides aim to serve as a one-stop resource, providing detailed insights and practical applications, whereas articles might focus on narrower or more specific topics.

Depending on the type of competition, you can participate individually or in a team.

Multiple submissions of the same article are prohibited and could lead to disqualification. Articles failing to meet the required length, originality, or citation standards will be rejected.

AVCC is a community for authors who have had three or more articles published in the Blogathons. Members benefit from monetary rewards for each published article and get the opportunity to showcase their work to a larger audience.

You can access the problem statement under the "Problem Statement" tab once the Hackathon is live.

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