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, you know a wide range of solution strategies that you can transfer to unknown tasks and new application areas.

The standard period of study is three semesters. In the first two semesters, you study practical theory and apply it in seminars and an internship. In the third semester, you write your master's thesis in a company.

Upon successful completion of the program, Hof University of Applied Sciences awards the academic degree Master of Science (M.Sc.).

Semester 1:

Core Modules

• Applied Deep Learning
• Intelligent Robotics
• New Technologies in Computer Science
• New Technologies in AI and Robotics
• Industry 4.0 / Data Management

Intercultural Competence

• For international students: German as a foreign language (next higher level)
• For German students: Intercultural Competence or Unicert courses

Semester 2:

Core Modules:

• Advanced Architectures in AI
• Generative AI
• AI Project
• Predictive Maintenance and Condition Monitoring

Electives (select one)

• Security of Information Systems
• Data Engineering and Analysis Methods
• Mixed Media (AR, VR, MR)
• IoT Architectures
• Security Research Seminar
• Information Structuring and Visualization

Semester 3: Master thesis in a company

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

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 2.5 (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

All applications must be done via our online application portal Primuss.

• The application period is between November 05 and November 30.
• An admission committee intensively scrutinizes all applications and decides about final admission. Admission letters will be issued in December.

If you acquired your university entrance certificate abroad, uni-assist must assess the certificate before you can send it to Hof University. We advise you to send your documents to uni-assist at least 4 weeks before our application deadline.

If you have any questions concerning the application process, please contact admission(at)hof-university.de.