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AI Engineering of Autonomous Systems (M. Eng.)

Application period for the summer semester 2027: Oct. 15, 2026 to Jan. 15, 2027

Online Master-Talk for prospective students on 11 November 2026 at 10 a.m.

Talk to the Prof

Link here


How can you use AI to develop autonomous systems?

This English-taught Master’s programme will train you to become an expert in the development of intelligent systems that can learn from data, adapt accordingly and make independent decisions to optimise overall performance.

During the Master’s programme, you will combine the building blocks of modern autonomous systems – such as environmental sensing via sensor networks and data fusion, data engineering, cloud computing and communications technology – with system perception, image processing, machine learning and decision-making methods. You will take compulsory modules from the following three areas: Intelligent Perception and Exploration, Planning, Control and Decision-Making, and Software Methods and Systems Development. You will work on group projects with students from all over the world – ideal preparation for future work in international teams.

Throughout your Master’s programme, you will be supported by our experienced professors, who, as experts in the field of artificial intelligence, are also members of the official Bavarian AI mobility hub, AImotion. After completing your Master’s degree in AI Engineering of Autonomous Systems, a wide range of career opportunities awaits you across numerous industries.

Job profiles and career prospects


By the end of this program, you will have the skills and knowledge to design and implement intelligent systems that can learn from data, adapt accordingly, and make decisions that optimise overall performance. You will be able to develop autonomous systems that can provide new functionalities, enhance safety, and improve efficiency in a wide range of industries, e.g., mobility, production, logistics, agriculture and medical engineering.

We believe that autonomous systems will play a crucial role in shaping our world. We will be excited to accompany you on this journey, and we are committed to providing you with the support and resources you need to succeed. So come and join us and be a part of the revolution in AI engineering of autonomous systems!



Master of Engineering (M. Eng.)

3 Semester

Summer & Winter

Yes

Yes

Yes

English


Ingolstadt

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AI Engineering of Autonomous …


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Contents

The study programme consists of compulsory modules in the following areas:

Intelligent Perception and Exploration

Sensors are the sensory organs of autonomous systems, key to their mobility and autonomy. Data from multiple and even different sensors are combined to quickly and accurately communicate information about the environment, physical events, activities or situations to decision-making components.

Planning, Control and Decision Making

Planning with intelligence is a prerequisite for autonomous and predictive action. Systems need to be able to plan their actions in order to achieve a given goal and to respond to unexpected or new situations by changing their behaviour. Machine learning methods are used to combine sensory data with past experience and draw conclusions that can be used to improve actions.

Software Methods and System Development

The development of autonomous systems is approached from a software engineering perspective. Various characteristics of autonomous systems, architectures, models and languages will be covered in order to demonstrate the technical feasibility of systems that can dynamically adapt their behaviour to changes in operating conditions by means of software.

The compulsory part is complemented by elective modules. These modules focus on specific aspects of the development of autonomous systems, automotive applications, innovation management, or engineering processes applied in tech companies as well as German language courses.

The Research Methods module is taught every semester. It allows students to apply scientific research methods to a state-of-the-art topic in AI engineering. The topic will be presented and discussed with peers and summarised in a seminar paper.

The Group Project provides students with an experience of 'learning by doing' and collaboration in a team of their peers. They start by receiving and defining an engineering problem, from which they design, implement and test using their acquired engineering skills. The team is under the guidance of a mentor throughout the project. A project presentation and a summary paper are the culmination of the project work.

Autonomous Systems - Intelligent Engineering of Our Future

PreviousNext

Autonomous driving lab

Project work autonomous flying

Brainstorming during project work

Practical project work in small groups

Autonomous robot systems

Virtual reality and autonomous flying

Team project and experiments in AI Engineering

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Programme structure

Curriculum

1. Semester

Sensor Networks Technologies and Sensor Data Fusion
5 ECTS

Covers sensor networks, communication, signal processing, and fusion techniques, including SLAM and AI-based methods for multi-sensor integration. 
 

System Identification, Modeling and Simulation
5 ECTS

Teaches modeling and simulation of dynamic systems, parameter estimation, and validation using analytical and numerical methods with tools like MATLAB/Simulink.

Data Engineering and Analytics
5 ECTS

Introduces data processing, visualization, and machine learning fundamentals, including model evaluation and inference for linear and non-linear models.

Systems Engineering and Architecting for Edge Computing
5 ECTS

Covers hardware/software co-design, optimization, and deployment of algorithms—especially AI models—on resource-constrained edge devices.

Science Elective
5 ECTS

Scientific Seminar & Ethical Considerations in Autonomous System Design
5 ECTS

2. Semester

Machine Perception and Cognition
5 ECTS

Covers perception systems and AI methods, including imaging, LiDAR, neural networks, transformers, and language-vision models. Focuses on applying these techniques to robotics and autonomous systems.

Principles of Autonomy and Decision Making
5 ECTS

Focuses on decision-making under uncertainty using MDPs, planning, and reinforcement learning, and designing safe autonomous systems.

Computing and Connectivity Technologies
5 ECTS

Explains computing architectures and communication systems supporting autonomous systems, including processors, interconnects, and network protocols.

General Elective
5 ECTS

Science Elective
5 ECTS

Team Project
5 ECTS

3. Semester

Master's Thesis
30 ECTS

Independent research project applying scientific methods to solve complex engineering problems, including documentation, evaluation, and presentation.


Quick Info

Admission and application

Admission: Prerequisite

Admission to this programme is based on a successfully completed Bachelor's degree in electrical engineering, computer science, or mathematics (or a discipline of each) totalling 210 ECTS. In case of a Bachelor's degree with less than 210 but at least 180 ECTS, missing competences need to be proved (e.g., by additional passed exams or internships).

Application

You can start your studies in the summer semester or in the winter semester. The application is made via the PRIMUSS application portal THI. Master's degree applicants with relevant previous studies outside Germany require a preliminary verification document (VPD) from uni-assist.

Information on the application period and the application procedure can be found on the page "Application for a Master's study place".

Important Information for Applicants

  1. Applicants with a bachelor's degree obtained in Germany or with EU citizenship will be admitted without further aptitude test, provided that the general admission requirements are met.
  2. Applicants who do not fall under point 1 must complete an orientation and selection procedure. This is based on the submitted application documents. The overall grade is based on:
    - The final grade of the bachelor's degree program (60% contribution to the overall grade) and
    - A curricular analysis in which the contents of the previous studies as well as relevant practical experience are examined (40% contribution to the overall grade).
    No additional certificates, tests, or essays are required. 
    Applicants who achieve an overall grade of at least 2.0 have successfully completed the orientation and selection procedure and are admitted to this course of study.
    Applicants with an overall grade better than 2.5 are admitted depending on the maximum number of students to be admitted for the first semester.
    Please note the Statutes for International Orientation and Selection Procedures as well as the procedural elements chosen for this master's degree program.
Urgent info for Master applicants from India!

Applies to applications for summer semester 2027 and beyond

With immediate effect, applicants from India  with Bachelor’s degrees in the following fields

  • Engineering
  • Commerce / Accounting / Finance / Economics
  • Business / Management

must, in addition to the VDP from uni-assist, provide evidence of having passed the Digital Master Test (dMAT):

https://aps-india.de/

in order to obtain an APS certificate relevant for your visa .

Please check whether this applies to you based on your Bachelor's degree:

 Programmes requiring dMAT (pdf)

The test costs 150 €. Registration is now open.

Timetable for applications for the 2027 summer semester:

September 15, 2026: deadline registration for dMAT
September 26, 2026: dMAT test date at 10 locations in India
October 12, 2026: certificate available

 Full details can be found at: https://aps-india.de/dmat/

Please note: THI does not answer any questions regarding the test procedure or its impact on an offer of admission from our university!

Application period at THI for English-taught Master programmes for the summer semester 2027: 15 October 2026 to 15 January 2027

Important notice on application agencies

THI is currently receiving an increasing amount of information about fraudulent activities in connection with student applications to THI, particularly from abroad. It is therefore important that you are aware of the following:

  • THI does not work with agencies. Please apply directly to THI via the uni-assist application portal for international applicants.
  • THI never asks for money for application purposes via agencies.
  • THI only sends emails from @thi.de.
  • THI never asks for money before you receive your letter of admission. If you need a VPD from uni-assist, you must pay a processing fee to uni-assist. However, uni-assist only checks certain documents and does not grant admission to THI.
Tuition Fees and Financing

A wide range of support options in the form of scholarships are available to students at THI.

For German and EU citizens, as well as other interested parties with German university entrance qualifications under certain conditions, studying at THI is free of charge; only a semester fee payable to the Erlangen-Nuremberg Student Services Association is required.

Applicants from outside the EU/EEA should note the following

Technische Hochschule Ingolstadt intends to charge tuition fees of 1.200 euros per semester (Master studies) from the summer semester 2026 onwards. At THI, we are committed to offering our students the best possible conditions to develop their skills and personalities for the professional world of the future. In our International Welcome Center, you will find excellent services and support.

Please note: No service fees for exchange students, visiting students, participants of summer school!

For in-depth information, please follow the link to our International Welcome Center-Website on Service fees.

 If you have any questions, please go to Contact for prospective students

 

Dual Studies

The dual Master's programme at THI offers optimal career opportunities. In addition to the regular degree programme, the dual Master's programme includes intensive work experience in a company. It is consecutive and is aimed at both non-dual and dual Bachelor graduates who have previously completed a combined degree programme or a degree programme with in-depth practical experience.

During the dual Master's programme, you will receive a salary from your company. The salary for Master's degree programmes should be appropriately higher than the salary for Bachelor's degree programmes.

Special feature: Normal duration of study with significantly more practical experience than in a regular Master's programme

FAQs

Could you provide some information about the English language requirement?

Since the programme is entirely taught in English, mastery of the English language is required and must be demonstrated. If your language of instruction (MOI) in undergraduate studies was English, you do not need to provide additional evidence of English proficiency. If your MOI in college was not English, you must provide IELTS, Cambridge, TOEFL or similar certificates.

Do I have to learn German?

The programme is entirely taught in English. But students are recommended to learn German parallel to their studies, as this will be an advantage when looking for a job after graduation. German courses are offered as General Elective module.

Are scholarships available?

There are various scholarships for enrolled students, such as, e.g., the Deutschlandstipendium. All students must apply and apply for certain scholarships themselves. Most scholarship programmes are performance-based (grades, voluntary work, etc.). The economic situation of the applicants is usually not taken into account. For many scholarships, a certain level of German language skills (at least B2) is required.

Is it possible to enrol online?

Enrolment can be done remotely. Enrolment must be completed within the first 4 weeks of the semester.

Is it possible to take courses online, or is it possible to defer admission to a later semester?

We do not offer online courses. For most courses, all materials are available online for self-study. Some modules require physical attendance.

It is not possible to defer your admission to a later semester. Once you have completed the enrolment process, you are a full student of THI, regardless of whether you are physically in Ingolstadt or attending courses.

In order to take the examinations, you must be present in Ingolstadt. Please note that your study time will not be extended if you cannot be present in Ingolstadt for lectures or exams once you are enrolled.

How can I follow a dual studies programme?

If you would like to apply for our AI Engineering of Autonomous Systems programme and work in a company at the same time, please apply to a company near Ingolstadt that has the same focus as our degree programme. We do not yet have a list of possible companies.
You can find all relevant information on the following page: Dual Studies (THI).

Can you help me find accommodation in Ingolstadt?

Unfortunately, neither the head of degree programme nor the faculty can help you find accommodation.

An International Welcome Centre will be set up from service fees to provide you with support (incomings@thi.de).

We look forward to receiving your application!

          To the online application                              

Contact for questions about the application or other topics         

Contact only for content-related questions:

Programme director "AI Engineering of Autonomous Systems" (Master)
Prof. Dr.-Ing. Alen Turnwald
Phone: +49 841 9348-7919
Room: A105
E-Mail: Alen.Turnwald@thi.de

Module Handbook

The course description contains information on prerequisites, contents, learning outcomes, ECTS points, duration, work load, literature, references of the offered modules and lectures.

Module Handbook

Study and Examination Regulations

Study and examination regulations (SPO) deal with judicial matters concerning your study course. Please turn to the pages of the legal department for Statutes of this course.

For any questions on requirements, exams regulations and more, please turn to the Service Center Study Affairs.

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