StephanHeijl.com – Master Applied Data Science

The curriculum combines rigorous methodology with hands-on, real-world projects. Highlight modules include Predictive Modelling, Data Exploration, Model Deployment and a 16 week Graduation Project, culminating in a public defence.

Programme summary

Course	EC	Grade
Predictive Modelling	15	9.0
Data Exploration	15	9.0
Model Deployment	15	10.0
Graduation Project	15	9.0
Total / Average	60	9.25

Average grade 9.25, awarded the distinction cum laude.

I starred in this video produced the HAN, documenting the MADS Hackathon in 2024.

Key achievements

Designed and deployed custom protein Transformers for my Graduation Project (final grade 9.0).
Achieved a perfect 10 for the Model Deployment module, demonstrating production-ready MLOps skills.
Consistently ranked in the top of the cohort with weighted averages above 9/10 each academic year.
Participated in the MADS Hackathon in 2024 as team captain, where I was recognized for exceptional leadership and the ability to create a well functioning team from a diverse group of international students.
Finished the Master's with a project at Bio-Prodict, which was graded as "of exceptionally high level and may be expected to have a significant impact on the organization".