Artificial Intelligence and Robotics M.Sc.
With our modules in the areas of artificial intelligence, especially machine learning and deep learning, you will gain the necessary knowledge to implement effective AI-based solutions in a wide variety of application areas.
We place a special focus on the application area of robotics. You will learn how to design intelligent robotics solutions and deepen your skills through practical exercises in various modules.
With our Master's degree in Artificial Intelligence and Robotics, you will develop an in-depth understanding in the fields of AI and intelligent robotics and learn about state of the art algorithms. In various modules, you will gain knowledge of complex methods and models, such as Deep Generative Models, Variational Autoencoders, Deep Reinforcement Learning, Simultaneous Localization and Mapping, or Robot Imitation Learning, and how they contribute to solving different classes of problems.
The skills you acquire will enable you to independently plan, execute, and evaluate complex projects in these areas. Through versatile application examples in the different modules, they know a wide range of solution strategies that they can transfer to unknown tasks and new application areas.
Campus Information
Munchberg
Kulmbacher Str. 76 95213 Münchberg
Intakes
- Jan
- 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
As a graduate, you will have excellent career prospects in various fields, such as:
Robotics application developer
AI developer
IT project manager
Consultant
ML architect
Data engineer
Machine learning engineer
Admission Requirement / Eligibility Criteria
Academic requirements
Bachelor's degree in computer science or in an engineering or natural science course of study that has provided a basic knowledge of information technology sufficient for study in the Artificial Intelligence and Robotics master's program
Bachelor's degree with 210 credits and at least a final grade of "good" (for <210 credits we offer an appropriate additional module)
Applicants who have completed their first degree abroad must have their documents checked by Uni-Assist e.V. in advance. To ensure a smooth admission, we recommend sending your documents to uni-assist e.V. at least 4 weeks before the respective application deadline of Hof University.
Language requirements
You need to prove your proficiency in English. This can be done with either of the following:
TOEFL minimum 90
IELTS 6.5 or above
In addition: Basic language skills in German, proven by official test score documents - minimum level A1
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 01 Year 06 Month
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Total Tuition Fee:
N/A
Annual Cost of Living: 10200 EUR
Application Fee: N/A