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Master of Transportation Sciences


Study programme

Universiteit Hasselt - Knowledge in action

STUDY PROGRAMME

1. Preparatory Programme

If you have an academic bachelor or master degree you will have to do a short preparatory programme, which can be combined with the master programme. The courses in the preparatory programme will focus on academic and quantitative skills and on basic transportation knowledge. If you have a professional bachelor degree, you will have to do a link programme (available for Dutch-speaking students only).

PREPARATORY PROGRAMME  ECTS
3212 Introduction to Transportation Research 6
3166 Quantitative Methods 6
3167 Transport Systems & Transport Policy: an Introduction 6
Total  18

The course "Transport Systems & Transport Policy: an Introduction is available as a free open online course (MOOC). If you successfully complete the MOOC it counts towards earning credits for the course Transport Systems & Transport Policy: an Introduction. More info on joining the MOOC here! 

2. Course list Master of Transportation Sciences

Students have to successfully complete 120 ECTS selected from the list of courses below. 

  1. Compulsory: internship and masterthesis (48 ECTS)
  2. Domain specific courses: choose between 48 en 72 ECTS of which at least 12 ECTS from your specialisation Mobility Management (MM) or Traffic Safety (TT)
  3. Interdisciplinary courses: 0 up to max. 24 ECTS from the list of elective 
  COURSES ECTS
COMPULSORY compulsory, 48 ETCS  
  3031 Internship 18
  3091 Master Thesis part 1 12
  3092 Master Thesis part 2 18
     
DOMAIN SPECIFIC between 48 and 72 ECTS  
  1958 Intelligent transportation Systems 6
  3037 Freight Transport 6
  3160 Strategic Project Analysis 6
  3161 Study Visit & International Topics 6
SPECIALISATION: MM 3142 Management of Transportation Companies 6
  3143 Traffic and Transportation Models 6
  3144 Analytical Skills for the Interpretation and Analysis of Travel Demand 6
SPECIALISATION: TS 2222 In-Depth Crash Investigation 6
  3145 Road Safety Evaluation: Methods and Applications 6
     
INTERDISCIPLINARY maximum of 24 ECTS  
  0599 Computer Intensive Methods 3
  0360 Regression 6
  1795 Analysis of Variance 6
  1955 North-South 3
  0366 Discrete Data Analysis 4
  1796 Nonparametric Methods 4
  1797 Correlated and Multivariate Data 4
  1696 Strategic Innovation 6
  1721 Supply Chain Management 6
  1800 Survey Methods 6
  2062 Diversity, Equality and Inclusion in Organizations 6