Courses Master Display 2023-2024
|Course Description||To PDF|
|Course title||Data Analytics (IMBI/SCM)|
For more information: email@example.com
|Language of instruction||English|
It is essential in today’s digital and global business world to acquire an in-depth understanding and knowledge of data analytics methods. Analytical skills are critical in providing relevant, accurate and timely information for decision making in a dynamic and global business environment. In order to provide participants with the necessary data analytical skills, we introduce them to relevant data analytical methods, show them how to apply these methods, how to interpret their findings, and present and communicate these findings. After providing an introduction to data analytics, we will focus on core data analytical techniques such as ANOVA and regression analysis. We will then extend the participants’ knowledge and insights by covering more advanced data analytics, such as factor analysis and structural equation modelling, limited dependent variables, time series analysis and panel analysis. We will use R as the analysis platform for this course. R is open source, and allows the application of a wide variety of data analytics on the same platform.
This course is in transition.
The following rule applies to students from the following programmes, who started the programme prior to academic year 2023/24.
Master Human Decision Science
Master International Business - Information Management and Business Intelligence
Master International Business - Supply Chain Management
TRANSITIONAL REGULATION (EBC4264):
In semester 1 of AY23/24 students can repeat education for EBC4264, in semester 2 of AY23/24 students are allowed to repeat the examination or students can replace EBC4264 with EBC4280 (Research in International Business) as from AY23/24
Use Surfyourself to register.
Education deadline: July 15, 2023
Exam deadline: October 1, 2023
Resit deadline: November 26, 2023
Exam deadline: March 10, 2024
Resit deadline: May 12, 2024
See the Transitional Regulations section in the Master Education and Examination Regulations for more information.
|Teaching methods (indicative; course manual is definitive)|
|Assessment methods (indicative; course manual is definitive)|
|Evaluation in previous academic year||For the complete evaluation of this course please click "here"|
|This course belongs to the following programmes / specialisations||