Artificial Intelligence and Machine Learning Master of Science
In this research-oriented Master of Science programme, students further develop their technical and interdisciplinary competencies in the area of artificial intelligence (AI) building on a preceding computer science bachelor's programme. The program qualifies graduates for research and development work in basic research or in industry.
Note - Total Tuition Fee is estimated.
For More Information Please Contact To Our PSA Counselor.
Intakes
- Feb
- Aug
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 |
Job Opportunity Potential
Graduates of the M.Sc. Artificial Intelligence and Machine Learning are successful in a variety of professional fields in the upper IT sector, ranging from the classic job description of software developer for complex IT problems involving AI solutions to AI-related services such as AI consultants and research and development.
Admission Requirement / Eligibility Criteria
- A degree B.Sc. Informatik of TU Darmstadt (reference programme) or an equivalent degree;
- Englisch C1
For More Information Please Contact To Our PSA Counselor.
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 02 Year
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Total Tuition Fee:
59636 EUR
Average Cost of Living: 20000 EUR /year
Application Fee: N/A