Courses Master Display 2022-2023
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Course title | Data Analytics in Practice | |||||||||||||||||||||||||||||||||||||||
Course code | EBC4135 | |||||||||||||||||||||||||||||||||||||||
ECTS credits | 6,5 | |||||||||||||||||||||||||||||||||||||||
Assessment | Whole/Half Grades | |||||||||||||||||||||||||||||||||||||||
Period |
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Level | Advanced | |||||||||||||||||||||||||||||||||||||||
Coordinator |
Gerard Pfann For more information: g.pfann@maastrichtuniversity.nl |
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Language of instruction | English | |||||||||||||||||||||||||||||||||||||||
Goals |
To further knowledge in advanced research methods in business (marketing, logistics, organisation, accounting, strategy, information management, behavioural finance).
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Description |
PLEASE NOTE THAT THE INFORMATION ABOUT THE TEACHING AND ASSESSMENT METHOD(S) USED IN THIS COURSE IS WITH RESERVATION. A RE-EMERGENCE OF THE CORONAVIRUS AND NEW COUNTERMEASURES BY THE DUTCH GOVERNMENT MIGHT FORCE COORDINATORS TO CHANGE THE TEACHING AND ASSESSMENT METHODS USED. THE MOST UP-TO-DATE INFORMATION ABOUT THE TEACHING/ASSESSMENT METHOD(S) WILL BE AVAILABLE IN THE COURSE SYLLABUS.
In this course students have the possibility to advance their knowledge and experience in research methods relevant to the scientific area of their interest. |
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Literature |
Articles and Book chapters.
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Prerequisites |
Only open for RM students and PhD students!!!
1) Advanced course in business statistics or market research. 2) Hands on experience with statistical software (f.i. SPSS; STATA; EVIEWS). |
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Teaching methods (indicative; course manual is definitive) | PBL | |||||||||||||||||||||||||||||||||||||||
Assessment methods (indicative; course manual is definitive) | Final Paper | |||||||||||||||||||||||||||||||||||||||
Evaluation in previous academic year | For the complete evaluation of this course please click "here" | |||||||||||||||||||||||||||||||||||||||
This course belongs to the following programmes / specialisations |
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