De elektronische studiegids voor het academiejaar 2026 - 2027 is onder voorbehoud.





Managing data, decisions and processes (5081)
Coordinating lecturer:Prof. dr. Benoit DEPAIRE 
Co-lecturer:Prof. dr. Mieke JANS 
Member of the teaching team:De heer Haroon THARWAT 
 Mevrouw Manal LAGHMOUCH 
 Mevrouw Yunyun WANG 

Credits: 12,0
Study load hours: 324
Period: semester 1 (12sp)

Language of instruction: English
Exam contract: not possible

2nd Chance Exam1: Yes
Final grade2: Numerical
Tolerance3: See included in these programmes
Sequentiality
No sequentiality


Content

Managing Data, Decisions, and Processes starts with a focus on data and provides the necessary concepts and skills to handle data as it exists in a business context. You start with the necessary data modeling concepts, which act as a common foundation for all other future data skills. Additionally, you will focus on the necessary skills to extract data from realistic data environments and how to prepare these data for future data analyses. Once you are comfortable with extracting and preparing data, the course will focus on the two aspects where data science shines within organizations, i.e., improving the quality of business decisions and business processes. For both aspects, you will learn a broad range of AI techniques to extract actionable insights from data.

 


Compulsory textbooks (bookshop)
 

Textbook 1

  • Kroenke, David, M. and David J. Auer. Database Processing: Fundamentals, Design, and Implementation, Global Edition. (Available from: VitalSource Bookshelf, (14th Edition). Pearson International Content, 2016.)

    • Isbn eText: 9781292107646

    • Isbn fysiek boek: 9781292107639

Textbook 2

  • Silver, Bruce. BPMN Method and Style, 2nd Edition, with BPMN Implementer's Guide
    • isbn 9780982368114

Textbook 3

  • Data Science for Business: What you need to know about data mining and data-analytic thinking, Provost, Foster, and Tom Fawcett, 2013, O'Reilly Media, Inc. 

1449361323 (ISBN10), 978-1449361327 (ISBN13)

 

Compulsory course material
 

Study material will be provided over Blackboard (apart from the text books)
 

Mandatory software
 

Microsoft Access


Organisational and teaching methods
Organisational methods  
Lecture ✔  
Response lecture ✔  
Small group session ✔  
Teaching methods  
Exercises ✔  
Homework ✔  


Evaluation

Semester 1 (12,00sp)

Evaluation method
Written exam100 %
Closed-book ✔
Open questions✔

Second examination period

Evaluation second examination opportunity different from first examination opprt
No


Learning outcomes
  EC = learning outcomes      DC = partial outcomes      BC = evaluation criteria  
Master of Business Administration
  •  EC 

    • EC 14: The holder of the degree is able to apply in-depth academic insights from organisational and management sciences and relevant supporting and/or related disciplines in the analysis of such concrete questions of business management and formulate recommendations. (Problem-solving capacity)

 
Master of Business Economics
  •  EC 

    • EC 15: The holder of the degree is able to apply in-depth insights and argumentation methods from business science and relevant supporting and/or related disciplines in solving strategic policy issues. (Problem-solving capacity)

 
Master of Management
  •  EC 

    • EC 13: The holder of the degree is able to formulate, analyze, and answer complex management issues within a VUCA world from a systems perspective, providing innovative and scientifically grounded recommendations using strategic and conceptual perspectives.

     

 
Included in these programmesTolerance3
Y
Exchange Programme Business Economics Y



1   Education, Examination and Legal Position Regulations art.12.2, section 2.
2   Education, Examination and Legal Position Regulations art.15.1, section 3.
3   Education, Examination and Legal Position Regulations art.16.9, section 2.