Principles of Programming and Software Engineering
Introduces Python programming, data structures, object-oriented principles, and software engineering concepts such as lifecycle, UML, and development methods for real-world applications.
Intelligent Aerial Systems
Intelligent Aerial Systems
The English-taught Master’s programme in Intelligent Aerial Systems at THI equips you to develop autonomous and connected aerial systems. These are regarded as pioneering key technologies for transport and logistics, surveillance and reconnaissance, environmental protection and disaster management, as well as infrastructure inspection and surveying. The Master’s programme equips you with all the necessary knowledge and skills to realise such autonomous, intelligent and networked aerial systems.
Are you interested in interdisciplinary issues surrounding the development of autonomous aerial systems and passionate about innovative technologies? Do you have a flair for the development, simulation and research of complex systems? The English-taught Master’s programme in Intelligent Aerial Systems at THI prepares you for the development of the next generation of autonomous and connected aerial systems.
During the Master’s programme, you will acquire the skills to develop aerial systems that can perceive their environment and react to changing situations using sensors, planning and control algorithms, and artificial intelligence.
You will deepen your knowledge of flight dynamics, flight control and avionics, and complement this with cutting-edge technologies such as sensor technology, artificial intelligence and autonomous navigation. You will also learn how to determine safe, efficient and optimal flight paths for unmanned aerial vehicles. This will provide you with comprehensive preparation for the challenges surrounding unmanned aerial vehicles (UAVs) and drones – from urban applications to research missions in remote areas.
Appointments and career prospects
Upon successfully completing your Master’s degree, a wide range of career opportunities will open up for you in the aviation industry, at logistics companies, in the security and defence sectors, as well as in government agencies and research institutions.
Online Master-Talk for prospective students on 12 November 2026 at 4 p.m.
Curriculum Intelligent Aerial Systems
1st Semester
Principles of Programming and Software Engineering
<p><span style="font-family:"Times New Roman",serif;font-size:12.0pt;line-height:107%;">Introduces Python programming, data structures, object-oriented principles, and software engineering concepts such as lifecycle, UML, and development methods for real-world applications.</span></p>
Principles of Signal Processing, Data Analysis and Machine Learning
<p><span style="font-family:"Times New Roman",serif;font-size:12.0pt;line-height:107%;">Covers signal analysis, filtering, Fourier methods, and machine learning fundamentals, including model selection, analysis, and limitations.</span></p>
Principles of Mathematical Modelling and Control Engineering
<p><span style="font-family:"Times New Roman",serif;font-size:12.0pt;line-height:107%;">Focuses on modeling dynamic systems, deriving equations, analyzing stability, and designing and tuning control systems using simulations.</span></p>
Electrical and Electronic Technology
<p><span style="font-family:"Times New Roman",serif;font-size:12.0pt;line-height:107%;">Learning objectives not specified in the document.</span></p>
Principles of Flight Mechanics, Flight Systems & Platforms
<p><span style="font-family:"Times New Roman",serif;font-size:12.0pt;line-height:107%;">Explains aircraft structures, aerodynamics, motion equations, performance metrics, and differences between fixed-wing and multicopter systems.</span></p>
Sensor Systems of Autonomous Flight Systems
<p><span style="font-family:"Times New Roman",serif;font-size:12.0pt;line-height:107%;">Covers principles of aerial sensors, inertial measurements, GNSS integration, and statistical modeling of sensor errors for navigation.</span></p>
Navigation and Localisation
<p><span style="font-family:"Times New Roman",serif;font-size:12.0pt;line-height:107%;">Teaches coordinate systems, inertial navigation, Kalman filtering, and sensor fusion using visual and AI-based methods for robust positioning.</span></p>
SW-Architectures and Modelbased Systems Engineering & Practical Lab
<p><span style="font-family:"Times New Roman",serif;font-size:12.0pt;line-height:107%;">Focuses on MBSE, system architecture design, UAV software development, testing, and compliance with safety and certification requirements.</span></p>
Scientific Elective
General Elective
Environment Detection and Object tracking
<p><span style="font-family:"Times New Roman",serif;font-size:12.0pt;line-height:107%;">Covers sensor-based perception, 3D mapping, object tracking, and deep learning methods for UAV environment understanding.</span></p>
Certification and safety
<p><span style="font-family:"Times New Roman",serif;font-size:12.0pt;line-height:107%;">Introduces UAV regulations, safety engineering, risk assessment, certification standards, and lifecycle traceability for compliant system development.</span></p>
Flight Control, Guidance, Flight Path and Trajectory Planning & Practical Lab
<p><span style="font-family:"Times New Roman",serif;font-size:12.0pt;line-height:107%;">Focuses on UAV control systems, trajectory planning, optimization, and multi-UAV coordination using advanced control methods.</span></p>
Scientific Elective
Team Project
Master's Thesis and Colloquium
<p><span style="font-family:"Times New Roman",serif;font-size:12.0pt;line-height:107%;">Independent research project applying scientific methods to solve complex engineering problems, including analysis, documentation, and presentation.</span></p>
| 1. Semester | |
|---|---|
| 2. Semester | |
| 3. Semester | |
| 4. Semester |
Application for a study course
The study course starts in both the summer semester (15 March) and the winter semester (1 October).
Please apply online in our Primuss portal - all information about the Master's application
Programme Documents
Prerequisites
A Bachelor's degree in Electrical and Information Engineering, Aeronautical Engineering, Computer Science, or a related engineering discipline with 180 ECTS credits is required. For the application we ask for a copy of the degree certificate and the Transcript of Records/Grade Sheet. Provisional certificates and transcripts, if available, will be accepted. In the event of admission, however, the final certificate must be submitted at the time of Enrollment. Master's applicants with relevant previous studies abroad require a VPD from uni-assist.
Language skills
In addition, we require sufficient knowledge of English, which must be proven by a B2 level certificate. Proof is not required if the Abitur certificate or Bachelor degree was obtained in English or if the applicant is a national of a country where English is the native language.
German language skills at level A1 are required for further academic study. Proof is not required for admission, but must be provided by the end of the first semester. During the academic study programme, we promote an increase in the German language level to A2 through the "General Elective". All information on proof of language proficiency.
Information for applicants
- Applicants with a Bachelor's degree obtained in Germany or with EU citizenship will be granted admission without any further aptitude test, provided the general admission requirements are met.
- Applicants with a Bachelor's degree obtained in a non-EU country undergo a selection procedure, provided that the formal admission requirements are met.
The selection procedure consists of two stages. In stage 1, a curricular analysis is carried out. This is based on the type and scope of the modules in which skills are taught that are expected to lead to successful completion of the master's programme. In addition, an assessment is made of the autonomy and subject-specific relevance of the thesis in the Bachelor's programme for working on a task in the development of mechatronic systems. Applicants who have achieved a total score of 70 points or more will be invited to a short online selection interview. A pass in the selection interview leads to admission. The interviews will take place from mid-June to the end of July 2026. The faculty will inform invited applicants by email about the specific interview date. - Please note the Statutes for International Orientation and Selection Procedures and the procedural elements selected for this master's programme.
Any questions?
Do you have any questions about applications, admission, enrolment, student finance, accommodation or other general topics? If so, please use our contact form and select the relevant topic. This will ensure your enquiry is sent directly to the relevant contact person(s) and can be answered quickly and effectively.
Contact for content-related questions:
-
Prof. Dr.-Ing. Simon Schwerd
Research Professor, Associate Program Director for the “Intelligent Aerial Systems” (Master's program)
Programme director:
-
Prof. Dr. rer. nat. Andreas Hagerer
Vice Dean, Faculty of Electrical Engineering and Information Technology, Programme director "Intelligent Aerial Systems" (Master)
Other programmes you may be interested in
-
Applied Research in Engineering Sciences
Master of Science (M. Sc.)
At the heart of this research-focused Master’s programme is an individual research project tailored to your academic interests. You can choose from topics across electrical engineering, computer science, and engineering disciplines, allowing you to explore cutting-edge technologies in depth. Through advanced scientific methods, independent project work, and close engagement with current research, you will strengthen your analytical and research skills while building a solid foundation for a future doctoral degree and a career in research, development, or innovation.
About the degree program -
Aeronautical Engineering
Master of Engineering (M. Eng.)
In the Master's degree programme Aeronautical Engineering at THI, the focus is on real flight projects and building your own aircraft in preliminary design: aerodynamics, flight control, structure, loads, manufacturing, and design are studied in further depth.
About the degree program -
AI Engineering of Autonomous Systems
Master of Engineering (M. Eng.)
Discover the transformative potential of autonomous systems and how they are reshaping industries from mobility, transportation and logistics to healthcare and agriculture using artificial intelligence techniques. Join us at TH Ingolstadt, one of the leading Universities of Applied Science in Germany, and explore the design, applications, benefits, and future impact of these cutting-edge technologies.
About the degree program -
Artificial Intelligence
Master of Science (M. Sc.)
On the English-taught Master’s programme in Artificial Intelligence, you will deepen your expertise in modern AI technologies such as deep learning, computer vision and natural language processing. Through practice-oriented projects, cutting-edge research and personalised options, you will be prepared for challenging roles in development, research and international technology sectors.
About the degree program
![[Translate to English:]](/fileadmin/_processed_/image-enhancer/53330/20240620_CARISSMA_Gruppe_1-1613x1075-crop-default-285-381-1613-908.webp "[Translate to English:]")
Intelligent Aerial Systems
The English-taught Master’s programme in Intelligent Aerial Systems at THI equips you to develop autonomous and connected aerial systems. These are regarded as pioneering key technologies for transport and logistics, surveillance and reconnaissance, environmental protection and disaster management, as well as infrastructure inspection and surveying. The Master’s programme equips you with all the necessary knowledge and skills to realise such autonomous, intelligent and networked aerial systems.
Are you interested in interdisciplinary issues surrounding the development of autonomous aerial systems and passionate about innovative technologies? Do you have a flair for the development, simulation and research of complex systems? The English-taught Master’s programme in Intelligent Aerial Systems at THI prepares you for the development of the next generation of autonomous and connected aerial systems.
During the Master’s programme, you will acquire the skills to develop aerial systems that can perceive their environment and react to changing situations using sensors, planning and control algorithms, and artificial intelligence.
You will deepen your knowledge of flight dynamics, flight control and avionics, and complement this with cutting-edge technologies such as sensor technology, artificial intelligence and autonomous navigation. You will also learn how to determine safe, efficient and optimal flight paths for unmanned aerial vehicles. This will provide you with comprehensive preparation for the challenges surrounding unmanned aerial vehicles (UAVs) and drones – from urban applications to research missions in remote areas.
Appointments and career prospects
Upon successfully completing your Master’s degree, a wide range of career opportunities will open up for you in the aviation industry, at logistics companies, in the security and defence sectors, as well as in government agencies and research institutions.
Online Master-Talk for prospective students on 12 November 2026 at 4 p.m.
Curriculum Intelligent Aerial Systems
1st Semester
Principles of Programming and Software Engineering
<p><span style="font-family:"Times New Roman",serif;font-size:12.0pt;line-height:107%;">Introduces Python programming, data structures, object-oriented principles, and software engineering concepts such as lifecycle, UML, and development methods for real-world applications.</span></p>
Principles of Signal Processing, Data Analysis and Machine Learning
<p><span style="font-family:"Times New Roman",serif;font-size:12.0pt;line-height:107%;">Covers signal analysis, filtering, Fourier methods, and machine learning fundamentals, including model selection, analysis, and limitations.</span></p>
Principles of Mathematical Modelling and Control Engineering
<p><span style="font-family:"Times New Roman",serif;font-size:12.0pt;line-height:107%;">Focuses on modeling dynamic systems, deriving equations, analyzing stability, and designing and tuning control systems using simulations.</span></p>
Electrical and Electronic Technology
<p><span style="font-family:"Times New Roman",serif;font-size:12.0pt;line-height:107%;">Learning objectives not specified in the document.</span></p>
Principles of Flight Mechanics, Flight Systems & Platforms
<p><span style="font-family:"Times New Roman",serif;font-size:12.0pt;line-height:107%;">Explains aircraft structures, aerodynamics, motion equations, performance metrics, and differences between fixed-wing and multicopter systems.</span></p>
Sensor Systems of Autonomous Flight Systems
<p><span style="font-family:"Times New Roman",serif;font-size:12.0pt;line-height:107%;">Covers principles of aerial sensors, inertial measurements, GNSS integration, and statistical modeling of sensor errors for navigation.</span></p>
Navigation and Localisation
<p><span style="font-family:"Times New Roman",serif;font-size:12.0pt;line-height:107%;">Teaches coordinate systems, inertial navigation, Kalman filtering, and sensor fusion using visual and AI-based methods for robust positioning.</span></p>
SW-Architectures and Modelbased Systems Engineering & Practical Lab
<p><span style="font-family:"Times New Roman",serif;font-size:12.0pt;line-height:107%;">Focuses on MBSE, system architecture design, UAV software development, testing, and compliance with safety and certification requirements.</span></p>
Scientific Elective
General Elective
Environment Detection and Object tracking
<p><span style="font-family:"Times New Roman",serif;font-size:12.0pt;line-height:107%;">Covers sensor-based perception, 3D mapping, object tracking, and deep learning methods for UAV environment understanding.</span></p>
Certification and safety
<p><span style="font-family:"Times New Roman",serif;font-size:12.0pt;line-height:107%;">Introduces UAV regulations, safety engineering, risk assessment, certification standards, and lifecycle traceability for compliant system development.</span></p>
Flight Control, Guidance, Flight Path and Trajectory Planning & Practical Lab
<p><span style="font-family:"Times New Roman",serif;font-size:12.0pt;line-height:107%;">Focuses on UAV control systems, trajectory planning, optimization, and multi-UAV coordination using advanced control methods.</span></p>
Scientific Elective
Team Project
Master's Thesis and Colloquium
<p><span style="font-family:"Times New Roman",serif;font-size:12.0pt;line-height:107%;">Independent research project applying scientific methods to solve complex engineering problems, including analysis, documentation, and presentation.</span></p>
| 1. Semester | |
|---|---|
| 2. Semester | |
| 3. Semester | |
| 4. Semester |
Application for a study course
The study course starts in both the summer semester (15 March) and the winter semester (1 October).
Please apply online in our Primuss portal - all information about the Master's application
Programme Documents
Prerequisites
A Bachelor's degree in Electrical and Information Engineering, Aeronautical Engineering, Computer Science, or a related engineering discipline with 180 ECTS credits is required. For the application we ask for a copy of the degree certificate and the Transcript of Records/Grade Sheet. Provisional certificates and transcripts, if available, will be accepted. In the event of admission, however, the final certificate must be submitted at the time of Enrollment. Master's applicants with relevant previous studies abroad require a VPD from uni-assist.
Language skills
In addition, we require sufficient knowledge of English, which must be proven by a B2 level certificate. Proof is not required if the Abitur certificate or Bachelor degree was obtained in English or if the applicant is a national of a country where English is the native language.
German language skills at level A1 are required for further academic study. Proof is not required for admission, but must be provided by the end of the first semester. During the academic study programme, we promote an increase in the German language level to A2 through the "General Elective". All information on proof of language proficiency.
Information for applicants
- Applicants with a Bachelor's degree obtained in Germany or with EU citizenship will be granted admission without any further aptitude test, provided the general admission requirements are met.
- Applicants with a Bachelor's degree obtained in a non-EU country undergo a selection procedure, provided that the formal admission requirements are met.
The selection procedure consists of two stages. In stage 1, a curricular analysis is carried out. This is based on the type and scope of the modules in which skills are taught that are expected to lead to successful completion of the master's programme. In addition, an assessment is made of the autonomy and subject-specific relevance of the thesis in the Bachelor's programme for working on a task in the development of mechatronic systems. Applicants who have achieved a total score of 70 points or more will be invited to a short online selection interview. A pass in the selection interview leads to admission. The interviews will take place from mid-June to the end of July 2026. The faculty will inform invited applicants by email about the specific interview date. - Please note the Statutes for International Orientation and Selection Procedures and the procedural elements selected for this master's programme.
Any questions?
Do you have any questions about applications, admission, enrolment, student finance, accommodation or other general topics? If so, please use our contact form and select the relevant topic. This will ensure your enquiry is sent directly to the relevant contact person(s) and can be answered quickly and effectively.
Contact for content-related questions:
-
Prof. Dr.-Ing. Simon Schwerd
Research Professor, Associate Program Director for the “Intelligent Aerial Systems” (Master's program)
Programme director:
-
Prof. Dr. rer. nat. Andreas Hagerer
Vice Dean, Faculty of Electrical Engineering and Information Technology, Programme director "Intelligent Aerial Systems" (Master)
Other programmes you may be interested in
-
Applied Research in Engineering Sciences
Master of Science (M. Sc.)
At the heart of this research-focused Master’s programme is an individual research project tailored to your academic interests. You can choose from topics across electrical engineering, computer science, and engineering disciplines, allowing you to explore cutting-edge technologies in depth. Through advanced scientific methods, independent project work, and close engagement with current research, you will strengthen your analytical and research skills while building a solid foundation for a future doctoral degree and a career in research, development, or innovation.
About the degree program -
Aeronautical Engineering
Master of Engineering (M. Eng.)
In the Master's degree programme Aeronautical Engineering at THI, the focus is on real flight projects and building your own aircraft in preliminary design: aerodynamics, flight control, structure, loads, manufacturing, and design are studied in further depth.
About the degree program -
AI Engineering of Autonomous Systems
Master of Engineering (M. Eng.)
Discover the transformative potential of autonomous systems and how they are reshaping industries from mobility, transportation and logistics to healthcare and agriculture using artificial intelligence techniques. Join us at TH Ingolstadt, one of the leading Universities of Applied Science in Germany, and explore the design, applications, benefits, and future impact of these cutting-edge technologies.
About the degree program -
Artificial Intelligence
Master of Science (M. Sc.)
On the English-taught Master’s programme in Artificial Intelligence, you will deepen your expertise in modern AI technologies such as deep learning, computer vision and natural language processing. Through practice-oriented projects, cutting-edge research and personalised options, you will be prepared for challenging roles in development, research and international technology sectors.
About the degree program