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University Microcredential Data-intensive Aerospace Engineering

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  • Inicio
    • Director: Andrea Ianiro.
    • Language: English.
    • Campus: Leganés.
    • Mode: On Campus.
    • Dates: From 17 to 16 November 2025.
    • Schedule: Monday and Wednesday from 15:00 to 19:00 hours.
    • Duration: 16 hours.
    • ECTS: 2.
    • Price:  €300.
    • Places: 20
    • Admission Deadline: Until November 16, 2025.
    • Scholarships: 18 Banco Santander scholarships
    • Departament: Aerospace Engineering

    Learners analyse and interpret aerospace engineering data using exploratory techniques and apply machine learning models, such as regression, classification, clustering, and neural networks, to solve problems like airfoil design, engine diagnostics, and weather forecasting.

    They develop comprehensive, data-driven workflows in Python, acquiring practical skills to support innovation and informed decision-making in aerospace applications.

  • PROGRAM

    This is a hands-on course focused on applying data analysis and machine learning techniques to real-world problems in aerospace engineering.

    Complementary to theoretical lectures, the course emphasises practical implementation using interactive Python notebooks in Google Colab, allowing students to work directly with engineering data and develop fully functional ML workflows from scratch.

    The program introduces fundamental data science concepts:

    • Exploratory data analysis
    • Regression
    • Classification
    • Dimensionality reduction
    • Clustering, and neural networks

    through applications tailored explicitly to aerospace contexts.

    Each topic is explored through guided examples and project-based learning using real or high-fidelity simulated datasets.

    Use cases include Aerodynamic design and performance prediction of airfoils using regression and CNN-based surrogate models, predictive maintenance of turbofan engines, and leveraging multivariate time series from onboard sensors or weather forecasting based on satellite data, utilising classification and clustering algorithms.

  • FACULTY

    UC3M Faculty

    • Andrea Ianiro
      Professor
      Aeroespace Engineerign.
    • Carlos Sanmiguel Vila
      Associate Professor
      Aeroespace Engineerign.
  • ADMISSION

    Directed at/towards:

    No university degree is required.


    REGISTRATION, ENROLLMENT AND PAYMENT

    STEP 1 - REGISTER

    STEP 2 - APPLICATION FOR ADMISSION

    Use the username and password you entered when you registered. 

    For any questions or incidents related to the application for admission, please contact: admisiontp@postgrado.uc3m.es

     

  • PRACTICAL INFORMATION

    Methodology

    Students are assessed through the submission of Google Colab notebooks where they solve aerospace case studies and answer related questions.
    Evaluation focuses on the correct application of methods and interpretation of results, measuring knowledge and skills in data-driven aerospace engineering.


    Dates

    From November 17 to 26, 2025.


    Schedule

    Monday and Wednesday from 15:00 to 19:00 hours.

  • SANTANDER SCHOLARSHIPS

    Santander Microcredentials Scholarships 2025

    Term : from September 3, 2025 to November 4, 2025 (both inclusive)

    Number of grants : 18

    Amount : €300

    Resolution : December 10, 2025

    ☛ Más información