Courses Bachelor Display 2025-2026
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| Course Description | To PDF | |||||||||||||||||||||||||||||||||||||||
| Course title | Data Engineering and Data Governance | |||||||||||||||||||||||||||||||||||||||
| Course code | EBC2199 | |||||||||||||||||||||||||||||||||||||||
| ECTS credits | 6,5 | |||||||||||||||||||||||||||||||||||||||
| Assessment | None | |||||||||||||||||||||||||||||||||||||||
| Period |
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| Level | Advanced | |||||||||||||||||||||||||||||||||||||||
| Coordinator |
Mohsen Pourpounehnajafabadi For more information: m.pourpouneh@maastrichtuniversity.nl |
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| Language of instruction | English | |||||||||||||||||||||||||||||||||||||||
| Goals |
• Build and manage scalable data architectures (data lakes, warehouses, etc.)
• Perform data wrangling, cleaning, and transformation on large datasets • Understand and implement data governance principles, ensuring compliance, security, and quality across the data lifecycle • Integrate ontologies and metadata management for improved data semantics and discoverability • Leverage cloud-based data platforms for storage, processing, and analysis • Establish and monitor data pipelines that are reliable, automated, and efficient |
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| Description |
As data is the main backbone of data science, business intelligence and data-driven decision-making, the main aim of this course is to introduce different data collection, storage, and processing of large volumes of data in a reliable and efficient way.
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| Literature |
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| Prerequisites |
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| Keywords |
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| Teaching methods (indicative; course manual is definitive) | PBL / Lecture | |||||||||||||||||||||||||||||||||||||||
| Assessment methods (indicative; course manual is definitive) | Final Paper / Participation / Assignment | |||||||||||||||||||||||||||||||||||||||
| 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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