In this data challenge, bachelor students from the Business Analytics Bachelor at the University of Amsterdam work on your company's AI and analytics challenges and come up with innovative solutions. Our students are equipped with AI and analytics skills and will design a proof-of-concept solution.
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 and will design a proof-of-concept solutions.
Key features of the challenge
Program: Bachelor of Business Analytics
Course: Bachelor Thesis - Data Challenges
Students per team: 3-5 students
No. of hours spent: 150 hours per student
Duration: March-June (16 weeks)
Supervision: Student teams are supervised and guided by UvA supervisors
Deliverables: POCs designed and developed (dashboard, code, algorithm, app) and a presentation/report with project overview.
Company time investment: 20-40 hours in total (data preparation, kick-off meeting, bi-weekly progress meetings, final presentation)
Costs: 750 euro administrative matching fee
English: students are both Dutch and international, the main language will therefore be English.
Challenge Examples
The student teams can work on any of the following three types of challenges
Predictive algorithms
These project focus on building algorithm to provide predictions. You are expected to provide the students with a useful dataset of at least 10.000 rows to build these models. Example of models include:
Forecasting travel patterns for better holiday package pricing strategies.
Support operations by providing credit risk predictions of clients.
Prevent out of stock by predicting SKU demand
Optimization & data-driven decisions
Optimization projects focus on making choices between alternatives. In these projects algorithms can support these decisions with data. You are expected to provide the students with a useful data regarding the choices and constraints of the problem. Example of possible questions include:
Develop algorithms for optimal production planning.
How to schedule school visits in a museum.
Match a set op jobs with constraints to your employes with varying skills.
Information extraction and processing with genAI
GenAI project focus on exploring the opportunities of generative AI in process augmentation and automation. Typically, at least 30 example cases need to be supplied (eg. reports labelled with the information to be extracted) for the students to set up the system. In addition, a set of data is needed (which may be unlabelled) for testing (eg. 100 reports).
Text-to-speech applications where genAI is used for note taking and administrative procedures.
Develop text extraction pipelines for report processing and information extraction from reports.
Building agents to analyze reports automatically and build information visualization based on the extracted data
Company requirement
Any company with an AI and/or data related challenge that fits the scope of a 16-week project for 3-5 students.
The challenge is related to AI and/or analytics and has business/organizational relevance.
Data is supplied by partner organization before project start in March
Scope is suitable for a 16-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.
Planning
March - 2027: Match with students who will work on your project; kick-off meeting.
April - June 2027: Students work on the projects and collaborate with you along the way.
Mid April: Student project plan presentation
Mid May: formal feedback session with students showcasing first prototype
End June: Final presentations and deliverables presented to you by the students at an event hosted at the University of Amsterdam campus!
Inspiration?
Look here to see what our students have made for other companies: Past Projects - ai4business - University of Amsterdam.