Master Applied Data Science (MADS)

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.

Key achievements

• Designed, deployed and A/B‑tested a predictive maintenance pipeline during 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 percentile of the cohort with weighted averages above 9 each academic year.
• 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".