UC3M launches the course University Microcredential in Data-intensive Aerospace Engineering

The Department of Aerospace Engineering at Universidad Carlos III de Madrid (UC3M) is offering the University Microcredential in Data-intensive Aerospace Engineering, a hands-on program combining data analysis and machine learning techniques applied to aerospace engineering.

The course focuses on the use of Python and interactive Google Colab notebooks to tackle real-world aerospace challenges, from aerodynamic design to engine diagnostics and weather forecasting.

Learning objectives

• Analyse and interpret aerospace data using exploratory techniques.

• Apply machine learning models: regression, classification, dimensionality reduction, clustering, and neural networks.

• Develop data-driven workflows to support innovation and decision-making in aerospace applications.

Methodology
The program combines theoretical lectures with a strong practical approach. Students will work directly with real or high-fidelity simulated datasets through guided examples and project-based learning.

Use cases include

• Aerodynamic performance prediction of airfoils using regression and convolutional neural network (CNN) surrogate models.

• Predictive maintenance of turbofan engines.

• Multivariate time series analysis from onboard sensors and satellite data for weather forecasting.

Key details

• Director: Andrea Ianiro

• Language: English

• Campus: Leganés

• Mode: On Site (Leganés Campus)

• Dates: 17–26 November 2025

• Schedule: Mondays and Wednesdays, 3:00–7:00 pm

• Duration: 16 hours (2 ECTS)

• Fee: €300

• Seats: 20

• Scholarships: 18 Banco Santander full-tuition scholarships

• Admission deadline: until 16 November 2025

     More information and registration: https://www.uc3m.es/lifelong-learning/Microcredencial-Data-Intensive-Aerospace_Engineering