Preparatory programme
for the Master of Digital Business Engineering
The preparatory (pre-master) programme for the Master in Digital Business Engineering consists of a maximum of 81 ECTS-credits. Students may receive exemptions in the preparatory programme based on the obtained credits in their prior study programme(s). All possible exemptions will be assessed case per case by the board of admissions upon admission approval. Depending on the load of the preparatory programme, students may be allowed to combine the preparatory programme with certain courses of the master.
Students cannot directly apply for a preparatory programme. Students apply for the master's programme and the board of admissions will then put together a customised preparatory programme.
2024-2025
Cluster Business management (21 ECTS-credits)
The courses 'Principles of financial management' and 'Principles of marketing' can be taken in semester 1 or in semester 2.
Accountancy
- Tom Van Caneghem
Introduction to financial reporting and analysis
- Tom Van Caneghem
Introduction to financial markets
Principles of financial management
Principles of financial management
Principles of management accounting
- Xavier Gabriëls
Principles of marketing
Principles of marketing
Cluster Economics (12 ECTS-credits)
Macroeconomics
'Economics' or 'Introduction to economics' (6 ECTS)
- Steven Trypsteen
- Eve Vanhaecht
Microeconomics
'Economics' or 'Introduction to economics' (6 ECTS)
Cluster Information systems (30 ECTS-credits)
Bachelor project BE-MIS
The student should at least have followed:
- 'Design of info. systems'
- 'System analysis & databases'
- 'Research methodology'
- 'Econometrics and multivariate statistics' (or simultaneously)
- Jan Verelst
- Gilles Oorts
Digital organisation
- Steven De Haes
- Alexander Naessens
Design of information systems
'Information systems' or 'Digital information systems'
- Jan Verelst
Process automation
- 'Design of information systems'
- 'System analysis and databases'
System analysis and databases
'Information systems' or 'Digital information systems'
- Jan Verelst
Cluster Research methods and mathematics (18 ECTS-credits)
The course 'Algoritmisch denken en oplossen' (= Algorithmic and computational thinking) can only be taken by Dutch students, instead of the course 'Mathematics for engineering'.
Algorithmic and computational thinking
'Mathematics with appl. in (business) economics and technology 2'
OR
The student must have followed the course:
'Mathematics with appl. in (business) economics 2'
- Stiene Praet
Introduction to econometrics
- 'Economics' or 'Introduction to economics' (6 sp.)
- 'Statistics II' or 'Multivariate analysis'
- Nick Deschacht
Mathematics for engineers
- Julian Lyczak
- Tom Mestdag
Mathematical methods
- Ida Ruts
2023-2024
Model Path
Cluster Business management
Accountancy
- Tom Van Caneghem
Introduction to financial reporting and analysis
- Tom Van Caneghem
Introduction to financial markets
Principles of financial management
Principles of financial management
Principles of management accounting
- Xavier Gabriëls
Principles of marketing
Principles of marketing
Cluster Economics
Macroeconomics
'Economics' or 'Introduction to economics' (6 ECTS)
- Steven Trypsteen
- Eve Vanhaecht
Microeconomics
'Economics' or 'Introduction to economics' (6 ECTS)
Cluster Information systems
Bachelor project BE-MIS
- Jan Verelst
- Gilles Oorts
Digital organisation
- Steven De Haes
- Alexander Naessens
Design of information systems
'Information systems' or 'Digital information systems'
- Jan Verelst
Process automation
- 'Design of information systems'
- 'System analysis and databases'
System analysis and databases
'Information systems' or 'Digital information systems'
- Jan Verelst
Cluster Research methods and mathematics
Algorithmic and computational thinking
'Mathematics with applications in (business) economics and technology 2'
- Adriaan Herremans
Introduction to econometrics
- 'Economics' or 'Introduction to economics' (6 sp.)
- 'Statistics II' or 'Multivariate analysis'
- Sunčica Vujić
Mathematics for engineers
- Tom Mestdag
Mathematical methods
- Ida Ruts