Courses Master Display 2023-2024
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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 |
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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