| | M.Sc. Business Intelligence | | |
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| School | IU International University of Applied Sciences | | |
| Location | Bad Honnef and Berlin, Germany | | |
| School Type | University | | |
| School Size | Full-time Undergraduate: 100,000
Full-time Graduate: 75,000 | | |
| Degree | Master | | |
| Honours | | | |
| Co-op | | | |
| Length | 12 Month(s) | | |
| Entry Grade (%)* | | | |
| Prerequisites | | | |
| Prerequisites Notes | Admission Requirements for 120-ECTS:
- Completed, undergraduate degree with 180 ECTS with a focus on Economics or Business Administration, Natural Sciences, Data Science or (Business) Informatics or Computer Science
- Your degree must be from a state or state-recognised higher education institution/university
- You must have achieved a final grade of at least "satisfactory" or Grade C equivalent in your previous undergraduate degree
Admission Requirements for 60-ECTS
- Completed, undergraduate degree with 240 ECTS.
- Your degree must be from a state or state-recognised higher education institution/university
- You must have achieved a final grade of at least "satisfactory" or Grade C equivalent in your previous undergraduate degree
- Proof of at least one year’s professional work experience completed prior to the start of study programme. Work experience must have been gained after completion of your undergraduate studies
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| Cost |
Tuition cost is converted from 10,099 Euros.
Canadian students are eligible for a discount of 1,444 Euros.
For the most recent information on the tuition fees, please visit our website. | | |
| Scholarships | | | |
| Description | Help companies and managers make better, educated business decisions: earn a Master’s degree in Business Intelligence, and unlock the full potential of data reporting and analysis. With this Master’s degree programme from IU, you’ll get all the theoretical and practical skills necessary for a successful career in business intelligence. Whether you’ll be working as a manager, at sales ops, or as an analyst, you’ll have a strong foundation of data analysis know-how to help you develop strong, insightful reports. | | |
| Next Steps | Request Info | | |
