During the Master Data Science and Society program at Tilburg University students can work on your AI and/or Machine Learning project.
Turn your data into results with a dedicated AI and/or Machine Learning project. We’re inviting you to propose real-world, data-driven challenges for our master’s students. Ideal projects provide a supervised-learning dataset and a clear business question related to either a regression (predict a numeric outcome) or classification (predict a category) task. Approaches may include modern machine learning and deep neural networks.
✅ Key features of the challenge
Time a student spends on the project: 650 hours
Programme: Master Data Science and Society
Period: September - January
Supervision: Students are supervised by acedemic staff from the university
Deliverables: Presentation and report
Company time investment: 16-20 hours
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
While topics from any domain are welcome, datasets related to Business or Health are preferred.
Here are a few sample examples for your reference:
Customer Lifetime Value (CLV) Prediction
Time series forecasting of thermoelectric energy generation for powering agricultural IoT sensors
Predicting drug satisfaction among patients
Electricity Price Forecasting
Hotel / Airbnb listing price prediction
Anomaly detection
Predicting Major Depressive Disorder (MDD) using EEG (Electroencephalogram) data
Customer churn prediction in an e-commerce retail business
Bankruptcy prediction for listed companies
Predicting financial capability based on emotional stability
🏢 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 16-20 hours (e.g., joining the (online) kick-off, (bi-)weekly meetings, final presentations, providing information, answering questions).
📨 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
August 29: Deadline to submit a challenge (we might be ‘sold out’ before this date)
August 29: 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.
September 1-5: Matching phase
Questions? Want to discuss your challenge before submitting one? ☎️ Schedule a call