Courses of the second year of the EIT Fintech curriculum

  1. First semester courses
  2. Second semester courses

First semester courses

Scientific and technical courses

  • Machine Learning II (5 ECTS)

    • Classification
    • Ensemble Learning
    • Regularization
    • Lecturer: Simon Malinowski
  • Symbolic Data Mining (5 ECTS)
    • Data pre-processing
    • Association rules
    • Clustering
    • Concept learning, version space
    • Lecturer: Sébastien Ferré
  • Data Warehouses (3 ECTS)
    • Lecturer: Marc Bousse
  • Cloud and Big Data Management (3 ECTS)
    • Lecturer: Gabriel Antoniu

Fintech project/case study (8 ECTS)

I&E study on fintech (6 ECTS)

Test your knowledge and skills. In this module, you will have to demonstrate your ability to applying, synthesizing, and evaluating prior Innovation and Entrepreneurship learning in a specific innovation and/or entrepreneurial management context. Here, you will have to know about the state of the art of a particular innovation, be aware of the skills needed in a certain innovation or entrepreneurial management process, and be able to discuss critically the applicability of a set of innovation techniques in the setting of a real innovation project.

Second semester courses

  • Internship/Master Thesis (on a FinTech topic) (30 ects)