The UvA's AI4Business Lab specializes in harnessing the power of AI, business analytics and data science to tackle real-world data challenges. Get in touch with UvA's Bachelor of Business Analytics students and collaborate with them to solve your data challenges!
Description
In this data challenge, bachelor students from the Business Analytics Bachelor at the University of Amsterdam work on your companies AI and analytics challenges and come up with innovative solutions. Our students are equipped with AI and analytics skills including Coding, Machine Learning, Artificial Intelligence, Statistics, Operations Research and Optimization, Econometrics, Natural Language Processing (incl LLMs) as well as business knowledge including HR, Entrepreneurship, Accounting, Finance, and Marketing.
✅ Key features of the challenge
Program: Bachelor of Business Analytics
Course: Bachelor Thesis - Data Challenges
Students per team: 2-4 students
No. of hours spent: 150 hours per student
Duration: April-June
Supervision: Student teams are supervised and guided by professors and PhD students at the University of Amsterdam.
Deliverables: Presentation/report with recommendations, dashboard, code repository with a solution algorithm etc.
Company time investment: 12-16 hours in total (e.g. kick-off meeting, bi-weekly progress meetings, final presentation, etc.)
Costs: free of charge
📑 Challenge Examples
The student teams can work on challenges like, but not limited to, the following:
Forecasting travel patterns for better holiday package pricing strategies.
Optimizing which location to build health centers in a city.
Designing and assessing the performance of Large Language Models in solving business problems.
Develop algorithms for optimal production planning.
Support operations by providing credit risk predictions of clients.
Develop optimization models/data-driven decision systems for answering questions like i) how to schedule resource ii) where to locate a new centre iii) how to allocate budget across options
Build Machine learning or statistical algorithms to predict business relevant indicators such as credit limits, customer demand, supply chain efficiency, customer classifications
Explore the potential of GenerativeAI for operational efficiency, for example develop text extraction algorithms for report processing or analyze bias (and compliance) in a genAI system.
To a lesser extend we also have projects around data mining and data management (creating insights from very large unstructured data and structuring data management)
🏢 Company requirement
Any company (startup/scale-up/corporate/incubator/NGO) with an AI and/or data related challenge that fits the scope of a 12-week project for 2-4 students.
The challenge is related to AI and/or analytics and has business/organizational relevance.
Data is supplied by partner organization before project start (ie in March)
Scope is suitable for a 12-week project
Tangible project outcome (for example dashboard, app, data-driven advice, or code in respository)
Project has some level of complexity in terms of for example problem structuring, data, and/or algorithm building
💰 Costs
We charge an administrative fee of €750 (excl VAT). This fee covers the administrative costs of coordinating and managing the data challenge. An invoice for the fee will only be sent after the project is matched with students (typically in April).
This fee is waived for startups, SMEs, non-profits, governmental organisations and educational institutions.
🗓 Planning
March - 2025: Match with students who will work on your project.
April - June 2025: Students work on the projects and collaborate with you along the way
July - 2025: Final presentations and deliverables presented to you by the students at an event hosted at the University of Amsterdam campus!
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