M.Sc. in DATA ENGINEERING
The graduate program in Data Engineering offers a fascinating and profound insight into the methods and technologies of this rapidly growing area.
The program combines big data aspects of “Data Analytics” as well as of “Data Science” with the technological challenges of data acquisition, curation, and management.
Thus, the program provides the essentials for paving the way to a successful career: computer skills and mathematical understanding paired with practical experience in selected application fields. The Data Engineering program attracts students with diverse career goals, backgrounds, and prior work experience.
Therefore, the program offers four focus tracks within which the students can choose to specialize further: Computer Science, Geo-Informatics, Bio-Informatics, and Business & Supply Chain Engineering. These tracks are a preparation for the Advanced Projects within the Discovery Area and the Master Thesis.
Intakes
- Sep Deadline: June
- Aug Deadline: June
Application Processing Time in Days: 30
Minimum English Language Requirements
| English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
|---|---|---|---|---|---|
| Expert | 9 | 120 | 297-300 | 86-90 | |
| Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
| Very Good | 8 | 110-114 | 270-280 | 79-83 | |
| Good | 7.5 | 102-109 | 253-267 | 73-79 | |
| Good | 7 | 94-101 | 240-253 | 65-73 | |
| Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
| Competent | 6 | 60-78 | 170-210 | 50-58 | |
| Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
| Modest | 5 | 35-45 | 107-133 | 36-43 | |
| Limited | 4 | 32-34 | 97-103 | 30-36 | |
| Extremely Limited | < 4 | < 31 | < 93 | < 30 |
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 02 Year
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Total Tuition Fee:
40000 EUR
Annual Cost of Living: 10200 EUR
Application Fee: N/A