| M.Sc. Data Management | | |
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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 Data Science, Business Informatics, Computer Science, Big Data Management, Digital Business
- 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 | Data management is one of today's most sought-after skills as we move into the future. Experts at master level in particular are already in great demand today: As a data manager, you design secure systems that represent added value for your organization. IU’s online M.Sc. Data Management offer you a route to do this, with affordable tuition fees. During this program, you will learn the skills to lead demanding projects where you are required to process and store large amounts of data. You will acquire practical skills in data processing, data storage, data analysis and reporting. You can also specialize in fields like master data handling or cyber security. | | |
Next Steps | Request Info | | |