De elektronische studiegids voor het academiejaar 2025 - 2026 is onder voorbehoud.





Data science for business (5082)

  
Coordinating lecturer :Prof. dr. Niels MARTIN 


Language of instruction : English


Credits: 6,0
  
Period: semester 2 (6sp)
  
2nd Chance Exam1: Yes
  
Final grade2: Numerical
 
Exam contract: not possible


 
Sequentiality
 
   Mandatory sequentiality bound on the level of programme components
 
 
  Following programme components must have been included in your study programme in a previous education period
    Managing data, decisions and processes (5081) 12.0 stptn
 

Prerequisites
  • The student has a basic understanding of business operations and business processes
  • The student has a basic understanding of business information systems
  • The student must be able to familiarize themself with a new business information system
  • The student is able to perform simple operations on a dataset
  • The student can achieve a balanced division of tasks within a team


Content

This course focuses on the managerial/business aspect of Data Science and will consist of three modules:

  • The first module introduces the domain of Business Intelligence, which covers how data can be transformed into actionable business insights that inform business decisions.
  • The second module focuses on Data Science for Business in practice, considering the connection between Data Science and Business Strategy, as well as recent trends in Data Science for Business.
  • The third module is a project in which students will apply knowledge and competencies acquired in the other modules, as well as the course 'Managing Data, Decisions and Processes' (5081), to a business case. 


Organisational and teaching methods
Organisational methods  
Lecture  
Project  
Response lecture  
Small group session  
Teaching methods  
Exercises  
Group work  
Paper  
Presentation  


Evaluation

Period 2    Credits 6,00

Evaluation method
Written evaluaton during teaching periode35 %
Transfer of partial marks within the academic year
Conditions transfer of partial marks within the academic yearOnly if the student has passed the project (which includes the written evaluation during the teaching period and the oral evaluation during the teaching period), this partial mark can be retained in the academic year. In that case, the partial mark will be retained automatically, unless the student waives it in writing to the coordinating lecturer within 7 calendar days after the announcement of the exam results.
Oral evaluation during teaching period15 %
Transfer of partial marks within the academic year
Conditions transfer of partial marks within the academic yearOnly if the student has passed the project (which includes the written evaluation during the teaching period and the oral evaluation during the teaching period), this partial mark can be retained in the academic year. In that case, the partial mark will be retained automatically, unless the student waives it in writing to the coordinating lecturer within 7 calendar days after the announcement of the exam results.
Written exam50 %
Closed-book
Evaluation conditions (participation and/or pass)
Conditions Students can only pass the course if they have participated in all parts of the evaluation.
Consequences Failure to participate in any part of the evaluation results in an unwarranted absence for the entire course.
Additional information
  • This course uses peer evaluation to gain insight into team functioning during the project (mandatory participation). The results of the peer evaluation may lead to a differentiation in the scoring of individual team members according to their contribution.
  • The partial mark of the written exam cannot be transferred within the academic year.

Second examination period

Evaluation second examination opportunity different from first examination opprt
Yes
Explanation (English)For the second examination opportunity, a project has a weight of 50% in the total score. If the score of the project from the first examination opportunity was retained, this score (based on the written evaluation during the teaching period and the oral evaluation during the teaching period) is carried over and no new project is required. If the score of the project from the first examination opportunity was not retained, a new project is defined. A written examination (closed book) has a weight of 50% in the total score of the second examination opportunity.
 

Compulsory textbooks (bookshop)
 

To be determined

 

Compulsory course material
 
  • References to study materials will be provided on Blackboard.
  • This course will make use of 'DataCamp For The Classroom', offered by  DataCamp (www.datacamp.com).


Learning outcomes
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.

     

 

  EC = learning outcomes      DC = partial outcomes      BC = evaluation criteria  
Offered inTolerance3
Exchange Programme Business Economics J
Specialisatie Data Science for Business verplicht J



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.