The standard duration of the Intelligent & Autonomous Systems master’s programme comprises 3 semesters. The curriculum in the first semester reviews and advances relevant knowledge, including in the areas of machine learning, data science, and mathematics. Students choose three advanced modules and work on a practical project during the second semester. The third semester is devoted to the master’s thesis.

Modules

Current and detailed descriptions of the modules and courses are available in the module catalogue and the degree programme overview.

Required subjects

• Technology Ethics
• Statistics and Mathematics
• Mathematical Foundations of Machine Learning
• Trends in Intelligent Systems
• Data Analytics
• AI Accelerators
• Language

Required elective courses

• Environment Perception & Sensor Fusion
• Intelligent Robotics
• AI for Processing Biomedical Signals
• Anomaly Detection

Project - comprised of

• Project Paper
• Project Seminar

Possible specialisations

Currently, two specialisations are possible: 

• Autonomous Systems
• Medical Technologies 

The former focuses on mobile, autonomous robotics and the latter on medical engineering applications.

Master’s thesis

In the third semester, you will develop your specialist knowledge by means of your thesis. In your thesis, you will independently address a current and ambitious research or development topic. Theses may be completed in the context of a working group at the university or in external research organisations or companies.

Fields of work and job profiles

Graduates of the Intelligent & Autonomous Systems programme are highly sought experts in future-oriented fields that connect hardware-related development and AI. They work on the development of autonomous vehicles, intelligent robotic systems, AI-based image processing, or smart diagnostic systems. Typical professional fields include industrial automation, medical engineering, mobility, logistics, or research. Jobs range across AI development, robotics engineering and computer vision to autonomous systems architecture.

Educational opportunities or qualifications following the master’s degree

M-IAS graduates have met an important prerequisite for the subsequent completion of a doctorate. Due to the Ohm’s strong research profile, we offer a number of opportunities for doctoral studies. The research infrastructure at the Ohm, including our institutes and laboratories (e.g., Mobile robotics laboratory, Automation technology laboratory), provides an excellent environment for a wide range of exciting doctoral topics. It is also possible to pursue a consortial doctorate in conjunction with another university or an industrial partner.

Information on admission

To be able to study in the master’s degree programme in Intelligent & Autonomous Systems at the Ohm, you must meet the following requirements:

• A university degree in a relevant technical field with 210 ECTS (7 semesters including a practical semester) with programming knowledge comprising at least 15 ECTS
• Admission is subject to a numerus clausus (NC)
• A preliminary exam may be required

Documentation of language proficiency:

If English is not your native language:

Documentation of English proficiency at level B1+ (spoken) / B2 (reading comprehension), e.g. a certificate from CAE, IELTS, PTE, TOEFL, TOEIC or a German Abitur.

If German is not your native language:

• Documentation of German proficiency at level A1 (e.g. Goethe certificate, Österreicheres Sprachdiplom Deutsch, or telc Deutsch Hochschule or comparable) or
• Documentation of a completed educational course in German at a secondary school.

You’re not sure if this is the right programme for you? The Ohm offers a variety of ways to help you find the answer to that question.

Student Counseling Service

Do you have questions about studying at university or applying?
Our International Academic Services department is happy to assist you.

If you went to school in the German system, feel free to contact the “Zentrale Studienberatung”.

Faculty advisor

Would you like more detailed information about the content of individual courses within the Intelligent & Autonomous Systems programme? Then the Faculty Advisor is your next port of call.

Enrico Schröder

Prof. Dr.-Ing.

• telefon +49 (0)911 5880 - 1336
• email enrico.schroeder@th-nuernberg.de

• Room KA.416b

Jan Paulus

Prof. Dr.-Ing.

• telefon +49 (0)911 5880 - 1098
• email jan.paulus@th-nuernberg.de
• fax +49 (0)911 5880 - 5109

• Room WE.320