

MS in Artificial Intelligence and Machine Learning
- Public University
Department of Computer Science
MS in Artificial Intelligence and Machine Learning at TU Darmstadt Overview
International students can pursue MS in Artificial Intelligence and Machine Learning at PG level at Technische Universität Darmstadt. The duration of the course at the university is 2 years. The course is among the top-ranked courses in the International students must meet the entry requirements such as complete academic qualification, a valid test score in exams such as IELTS, TOEFL and PTE to be eligible for the course. Students must manage additional costs such as
- Rent
- Hostel fees
- Food, books
- supplies
- Utilities, etc.
Duration | 2 years Get Curriculum |
Tuition & Fees | |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MS in Artificial Intelligence and Machine Learning at TU Darmstadt Fees
Students can pursue Technische Universität Darmstadt MS in Artificial Intelligence and Machine Learning at an affordable cost. Apart from tuition fees, students also manage additional costs such as Hostel and Meals, Transportation, Books and Supplies, Personal Expenses, etc. The total expense may vary at the university, depending on the additional charges levied by the Technische Universität Darmstadt.
Students can check the table below for Technische Universität Darmstadt MS in Artificial Intelligence and Machine Learning fee breakup:
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 0 |
| Fees components | Amount (for 1 year) |
|---|---|
| Insurance | INR 1,15,808 |
| Mandatory Fees | INR 9,71,945 |
MS in Artificial Intelligence and Machine Learning at TU Darmstadt Curriculum
International students can access detailed course information by clicking the green button below for the Technische Universität Darmstadt MS in Artificial Intelligence and Machine Learning program. The course PDF includes details on subjects covered, available electives, other course content, and a semester-wise breakdown of the curriculum.
Download exam sample paper
MS in Artificial Intelligence and Machine Learning at TU Darmstadt Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
- Read less
- Students must have a Bachelor of Science degree in Computer Science (compare with B.Sc. Computer Science of TU Darmstadt ), in the same field of study or an equivalent degree

Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 95/120
-
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Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 76/90
- Marks - 7/9
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MS in Artificial Intelligence and Machine Learning at TU Darmstadt Application Process
MS in Artificial Intelligence and Machine Learning at TU Darmstadt Rankings
| Rank | Rank Publisher |
|---|---|
| #73 | |
| #101 | |
| #127 |
Technische Universität DarmstadtStudents Ratings & Reviews
- 0% students never faced discrimination in this university
MS in Artificial Intelligence and Machine Learning at TU Darmstadt Highlights
- 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 programme qualifies graduates for research and development work in basic research or in industry
- In this programme, students have a great deal of freedom in designing their study plan and can thus pursue their individual interests
- The compulsory elective areas ensure that students acquire the necessary basic knowledge as well as the specialist knowledge and competences essential for the degree programme.
- A great strength of the degree programme are the integrated projects and labs. Here, students have the opportunity to participate in challenging projects in cutting-edge international research
MS in Artificial Intelligence and Machine Learning at TU Darmstadt Scholarships
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Karolinenplatz 5, 64289 Darmstadt, Germany
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