Open to students
of all nationalities having a bachelor degree

  • mechanical
  • transport
  • electro

Unique in Europe
two years master studies

  • high level of technical studies


  • combined with language studies

International cooperation
of six renowned universities

  • CTU in Prague
  • HAN
  • ENSTA Bretagne


  • ITB Bandung
  • TU Chemnitz
  • IFP Paris


Double degree
from two countries

  • depending on chosen universities and specialisations


  • Study stay in at least 2 countries

Eight specialisations
offered in the second year of study

  • Advanced Powertrains
  • Design of Vehicles
  • Alternative Powertrains
  • Modelisation and Computation

Eight specialisations
offered in the second year of study

  • Vehicle Dynamics and Intelligent Transport Systems
  • Internal Combustion Engines
  • Powertrains
  • Engines and Fuels

Module Big data & Small Data


Semester summer
Contact hours 128
Number of credits 15
Type of termination Exam
Form Lectures + exercises, minor project
Lecturers Carolien Kattenbelt Dr. Ir.


Professional Task: The module covers the following tasks: Collect dataset, interpret features of dataset and create prediction model

General description: Collect a relevant dataset, Interpret the features of the dataset, Offline create prediction model using either system identification techniques or supervised machine learning and Evaluate the model.

Description of the study units:
Data Collection and Machine Learning: The students have to carry out assignments in which they learn how to clean up a dataset so that it is directly usable for prediction purposes. Furthermore students will analyze the data within the dataset and find e.g. correlation among variables.
The student also learns how to make prediction models using a large number of supervised machine learning algorithms. The student can apply these models to datasets and knows the advantages and disadvantages of the different methods.

Capita Selecta in machine learning: Critical review of literature on machine learning in a certain application area
Minor Project in Big Data: The Project serves to challenge the students to apply their knowledge and skills on a real-life problem, in correspondence with a subset of the final qualifications.
The project covers the following topics: Analyzing data of a real life problem and Developing a prediction model for this problem. The problem analysis will result in a problem solution to be translated in such terms that conclusions can be drawn based on the extent the problem has been solved and objectives fulfilled.

Czech Technical University in Prague

Technicka 4
16607 Prague 6
Czech republic

Phone: +420 224 352 499
Fax: +420 224 352 500


ITB – Institut Teknologi Bandung
Faculty of Mechanical and Aerospace Engineering

Jl. Ganesa 10
40132 Bandung

Phone: +62-22-2504243
Fax: +62-22-2534099


TU Chemnitz
Technische Universität Chemnitz Fakultät für Maschinenbau

Reichenhainerstr. 70, A016
D-09126 Chemnitz
Deutschland (Germany)

Phone: +49 371 531 31079
Fax: +49 371 531 831079


HAN – Hogeschool van Arnhem en Nijmegen
Institut of Automotive Engineering and Management

Ruitenberglaan 29
NL-6802 CC Arnhem
The Netherlands

Phone: +31 (0)6 55 20 88 19
Phone: +31 (0)26 365 82 15


ENSTA Bretagne
Ecole Nationale Supérieure de Techniques Avancées Bretagne

2, rue Francois Verny
F-29806 Brest Cedex 9

Phone: +33 (0)2 98 34 89 11
Fax: +33 (0)2 98 34 88 00


CTU in Prague
Coordinator of MAE

Gabriela Achtenová

IT Bandung | Head of Mechanical
Design Research Group

Andi Isra Mahyuddin

TU Chemnitz
Coordinator of MAE

Diana Lohse

HAN in Arnhem
Masters program manager

Kea Bouwman

ENSTA Bretagne
Coordinator of MAE

Yann Marco