Let talented Artificial Intelligence bachelor students from the University of Amsterdam solve your business challenges (in June). Get interesting insights, applications and new perspectives based on relevant and theoretically supported concepts, tools and frameworks that are taught in the AI program. This 'Company Project' is the last project phase of the major AI.

✅ Key features of the challenge

• Students per team: 5 students
• Programme: Bachelor Artificial Intelligence (2nd year)
• Course: Tweedejaarsproject BSc KI
• Time a team spends on the project: 160 hours
• Period: June 2025
• Supervision: Teams are supervised by teaching assistants and senior teaching staff are available for further guidance. The teams will use Scrum as an agile way of working.
• Deliverables: Presentation and report
• Company time investment: 10-14 hours
• Students and supervisors are willing to sign an NDA and any other equivalent contract if necessary.
• Participating organizations need to provide a clean dataset that the students can work with.
• Matching fee:
  • For-profit organizations: €850,- (ex tax, charged by Master Challenge (NOT the university)).
  • Non-profit organisations / NGO's / Overheidsorganisaties / Onderwijsinstellingen: free of charge

📑 Challenge topics

Although the topics should be related to Data Analysis and Artificial Intelligence, the challenge can be related to any domain/industry. Artificial Intelligence is a complementary field.

Here are some examples that the students can work on, but not limited to:

• Building a recommendation algorithm based on the input variables.
• Improve the process of automatic indexing and categorization to increase efficiency.
• Predict behaviour of customers to improve quality of service.
• Determine benchmarks to detect unusual behaviour.

To define a realistic challenge based on available data can be a time-consuming task. Therefore, alumni with years of working experience in Data Science and Artificial Intelligence will help you translate your input to a realistic challenge for you.

🎓 Profile of the students

Artificial Intelligence students have a lot of group-based project experience and are used to relatively high workloads. Some characteristics of the students:

• Young Artificial Intelligence students.
• Based in or around Amsterdam.
• Thorough understanding of linear algebra, calculus and statistics, machine learning and natural language processing.
• Thorough understanding of programming concepts.

🔎 Case study example

Curious for how such a project could look like? Have a look at 👉this case study about a collaboration between a team of data science students from the University of Amsterdam and PostNL.

🏢 Company requirements

• Any company (startup/scale-up/corporate/incubator/NGO) with at least two founders/employees working full time in the company.
• In business for at least 6 months.

💰 Costs

To help facilitate this challenge we charge a matching fee of €850,- (ex tax).

❗️You will only be charged when matched to a team.

❗️Non-profit organisations / NGO's / Overheidsorganisaties / Onderwijsinstellingen: free of charge

👉 What does the challenge ask of you as a company?

• A clean dataset (we need to receive a sample to be able to judge the suitability of the dataset for this challenge)
• Organizations are expected to appoint a key contact person that invests between 6-12 hours (e.g., joining the (online) kick-off, final presentations, providing information, answering questions).
• Available for weekly scrum style demo's by the teams.

📨 How to apply

You can submit the challenge directly through the website. Provide a title that summarizes the challenge. Subsequently, briefly elaborate on your challenge. Click here for a template you can use, or use our Challenge Generator.

🗓 Planning

• May 20: Deadline to submit a challenge (we might be ‘sold out’ before this date)
• May 26: Teams hand in their top five of challenges including a brief motivation why they want to solve this challenge. The companies receive an overview of the teams that have chosen their challenge.
• May 27: The companies rank the teams that want to solve their challenge.
• May 28: Our matching algorithm will create perfect matches. Matches are shared with the teams and companies.
• June 2: Kick-off meeting with the teams (your team will contact you to schedule a meeting)
• June: Work on solving the challenge. Weekly sessions between you and the team.
• June 27: Final presentations. Each team will present their work to the company.

Questions? Want to discuss your challenge before submitting one?  ☎️ Schedule a call