Master of Science in Data Science for Business
The goal of this programme is to create specialists in the domain of data analytics to support business strategy and decisions of the firm.
This program is accredited by AACSB International – The Association to Advance Collegiate Schools of Business. AACSB is a global nonprofit association whose accreditation processes are ISO 9001:2015 certified.
About the programme
Programme summary
Find out more
Off to a good start
After graduation
| Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
|---|---|---|---|---|---|---|
|
|
1
|
sem 2
|
en
|
Matthias Bogaert
|
6
|
|
|
|
1
|
sem 1
|
en
|
Dirk Van den Poel
|
8
|
|
|
|
1
|
sem 1
|
en
|
Dirk Van den Poel
|
8
|
|
|
|
1
|
sem 2
|
en
|
Matthias Bogaert
|
6
|
|
|
|
1
|
sem 1
|
en
|
Dries Benoit
|
8
|
|
|
|
1
|
sem 2
|
en
|
Seppe vanden Broucke
|
4
|
|
| Course | Ref | MT1 | Semester | Language | Instructor | Crdt |
|---|---|---|---|---|---|---|
|
|
1
|
year
|
en
|
Dirk Van den Poel
|
20
|
|
Competence field 1: Competency in one or more scientific disciplines
- Developing complex marketing decision models based on customer relationship management theories.
- Integrating marketing decision systems in a real-life company setting.
- Independently and critically analyzing business relevant issues using data mining and informatics.
- Creatively applying state-of-the-art data mining techniques on business relevant issues.
- Selecting and validating data mining techniques and statistical techniques to optimally model complex marketing problems.
- Translating complex marketing problems into a scientific research question.
- Applying the results of a literature review of papers in international, peer-reviewed journals to complex marketing problems.
- Validating the results of own research with scientific marketing literature.
- Leveraging the structure of complex data.
- Mastering different programming languages and software tools as a means to create complex marketing decision models.
- Continuously expanding one’s own methodological competencies in an interactive manner.
- Independently drawing correct conclusions for complex marketing problems.
- Integrating competing views of different stakeholders into a single marketing solution.
- Reporting the relevant results of own research to scientific standards.
- Executing a real-life business project in an international and interdisciplinary team with different levels of experience.
- Producing a professionally written report on complex marketing issues and their solutions.
- Performing a professional oral report on complex marketing issues and their solutions.
- Communicating marketing solutions to professionals and laymen in English.
- Making a significant individual contribution to a real-life business project.
- Integrating consequences of new developments in data collection.
- Adjusting decision models to constraints and business objectives.