M.Sc. in AI & Robotics
- Public University
Department of Engineering
Talk to ExpertM.Sc. in AI & Robotics at UTN Overview
University of Technology Nuremberg is a prominent institution among PG students looking to pursue a M.Sc. in AI and Robotics from abroad. The typical duration of the program is 2 years. It is among Germany’s top-ranked courses and is rated very highly by several prominent ranking platforms including Shiksha. Interested candidates must submit their admission applications as early as possible due to limited availability of seats.
Students are also advised to plan for some other costs they may incur over the duration of studies, including accommodation, groceries, insurance, utilities among others.
Duration | 2 years |
Tuition & Fees | |
International Students Admission Website | Go to Website  |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
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M.Sc. in AI & Robotics at UTN Fees
As part of the University of Technology Nuremberg fee structure for the M.Sc. in AI and Robotics, students have to pay no tuition fees. However, they have to pay some one-time costs to the university at the time of admission. Other additional expenses that the students have to incur during their stay include books and supplies charges, rent, food, utilities, etc.
Find more details about University of Technology Nuremberg M.Sc. in AI and Robotics fee breakup, from the table mentioned below:
1st year tuition fees | Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 0 |
Other expenses in 1st Year | Fees components | Amount (for 1 year) |
|---|---|
| Insurance | INR 1,15,170 |
| Mandatory Fees | INR 62,820 |
Calculated at the exchange rate of 1 Euro = INR 104.7 | Tuition & expenses were last updated on 16ᵗʰ April 2025Download exam sample paper
M.Sc. in AI & Robotics at UTN Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
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- Bachelor of Science (or equivalent) in Computer Science or related fields such as Electrical Engineering, Mechanical Engineering, Mathematics, or Physics
- Excellent knowledge of Computer Sciences:
- Introduction to Computer Science, Programming, Algorithms and Data Structures, as well as one of the following subjects: Theoretical Computer Science, Computer Architecture, Computer Networks, or Software Engineering (minimum of 24 ECTS credits or equivalent).
- Mathematical references in analysis and linear algebra (at least 18 ECTS or equivalent).
- Necessary programming competencies in algorithms and data structures:
- Basic data structures (arrays, lists, stacks, queues, sets, trees, and graphs)
- Complexity analysis (best case, worst case, average case, Big-O notation, divide and conquer)
- Sorting algorithms (bubble sort, insertion sort, quicksort, mergesort, and heapsort)
- Searching algorithms (linear search, binary search, tree search, and graph search)
- Hashing techniques (open hashing and closed hashing)
Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 90/120
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Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 6.5/9
- NA
- Work experience in the field of artificial intelligence, robotics, machine learning, deep learning, computer vision and data science will be considered positively
- Applicants may need to take:
- Cambridge Language Assessment (C1 Advanced)
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- German Abitur with proof of English
- Successful participation in the aptitude assessment procedure
- If you score 90 or more out of 100, you will be directly admitted to the program. If you score between 70 and 89 points, you will be invited to a selection interview. However, if you score 69 or fewer points, your application will be rejected and you will not be granted admission
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The selection interview lasts approximately 10-15 minutes and is conducted online in English. The selection committee will assess the following:
- Explanation of why UTN’s teaching and learning concept is beneficial for your competency acquisition
- Presentation of your programming experience (for example, experiences from your program, internships)
- Solving a task presented during the selection interview
M.Sc. in AI & Robotics at UTN Highlights
- Artificial intelligence is a rapidly growing field that is changing the way we live and work. As a result, there is a growing demand for professionals with experience in robotics and artificial intelligence in various industries.
- The Master degree program in Artificial Intelligence and Robotics provides students with the opportunity to develop advanced skills and knowledge in these exciting fields
- Graduates of the program are equipped to pursue careers in a variety of industries, including manufacturing, healthcare, transportation, and entertainment
M.Sc. in AI & Robotics at UTN Important Dates
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M.Sc. in AI & Robotics at UTN Contact Information
University of Technology Nuremberg
Ulmenstraße 52i
90443 Nuremberg
Nuremberg ( Other - Germany)