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AI Engineering of Autonomous Systems (M. Eng.)

Frau und Mann vor Computer-Bildschirmen mit technischen GrafikenApply online from May 2!

This exciting program is designed to equip you with the necessary knowledge and skills to work on cutting-edge artificial intelligence (AI) technologies that currently are and will be transforming industries and changing the way we live and work.

Throughout this program, you will learn how to design, develop, and deploy intelligent systems that can learn, make decisions and operate autonomously, i.e., without human intervention. You will explore the basic building blocks of autonomous systems such as sensor networks and data fusion, data engineering, computing as well as communication technologies and combine them with AI engineering methods like perception and cognition, machine learning and decision making.

Our experienced faculty members are experts in the field of AI engineering and as such also members of the unique AImotion approach funded by the Bavarian government. They will provide you with practical, hands-on training as well as theoretical insights that will help you apply your learning to countless real-world problems. Our professors will guide you through the latest developments in the field of AI engineering, including ethical considerations and challenges that come with developing autonomous systems.

The language of instruction of the programme is English. By bringing together students from all over the world, we prepare them to work together in internationally composed teams.

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

Yes

English


Ingolstadt

Autonomous Systems - Intelligent Engineering of Our Future

PreviousNext

Autonomous drones

Self-driving vehicles

Robotics

Non-artificial intelligence at THI

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.

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Some impressions

Programme structure

Curriculum

1. Semester

Sensor Networks Technologies and Sensor Data Fusion

System Identification, Modeling and Simulation

Data Engineering and Analytics

Systems Engineering and Architecting for Edge Computing

Elective

Scientific Seminar & Ethical Considerations in Autonomous System Design

2. Semester

Machine Perception and Cognition

Principles of Autonomy and Decision Making

Computing and Connectivity Technologies

General Elective

Elective

Team Project

3. Semester

Master's Thesis


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).
In order to be admitted to the Master's programme in AI Engineering of Autonomous Systems, students have to pass an aptitude test to determine whether they have acquired the necessary skills in their Bachelor's programme. In the aptitude test, the submitted documents are evaluated according to the following criteria:

  • Grade of the Bachelor's degree in electrical engineering, computer science, or mathematics,
  • Knowledge of systems engineering, signal processing, communications, programming, software development, probability theory, and machine learning,
  • Independent scientific work and experience in engineering problem solving.

There are no tests or interviews that require personal presence. Please apply using the aptitude test questionnaire, which is also available on the  Primuss application portal.

 

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".

Dubious Application Agencies

Currently, THI is receiving an increasing amount of information regarding fraudulent activities in connection with student applications to THI. Therefore, it is important for you to know the following:

  1. THI does not work with agencies. Please apply directly to THI via the Primuss application portal.
  2. THI never asks for money via agencies for application purposes.
  3. THI only sends emails from @thi.de.
  4. THI never asks for money before you receive your admission letter. If you need a VPD from uni-assist, you will have to pay a processing fee to uni-assist. However, uni-assist only checks certain documents and does not grant admission to THI.
  5. The application process is conducted in the THI Primuss portal. Only there will you be able to access your application progress.

 

Service fees and Financing

As of winter semester 2024/25, THI charges service fees of 500 euros per semester for students from third countries (outside the EU and the EAA (European Economic Area) . If you have any questions, please go to Contact for prospective students

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

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

I would love to know whether I am eligible for admission to this Master’s Programme.

The admission process is structured as follows:

1. uni-assist: from as soon as possible until 30 May the latest for the winter semester
If you obtained your Bachelor’s degree outside of Germany, uni-assist has to verify your eligibility to study in Germany and to convert your university grades to the German grading system. You will have to submit all required documents to uni-assist online. Please take into account that the uni-assist process might take up to six weeks.

2. PRIMUSS – THI application portal: from 2 May until 15 July for the winter semester
Using your Bachelor’s degree obtained in Germany or your uni-assist certificate, you will have to apply (purely) online at THI’s PRIMUSS application portal. In case of admission, you might have to additionally send required documents by (hardcopy-)mail.

THI will perform an aptitude test based on the grades and course contents of your Engineering or Computer Science Bachelor’s degree. Modules like, e.g., digital signal processing, digital communications, control theory, machine learning as well as programming skills in Python/C++ form a sound basis for eligibility into the AI Engineering of Autonomous Systems programme. 

Please check the THI website to get up-to-date information regarding the application periods.

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.

Is there an enrolment/application fee?

Technische Hochschule Ingolstadt does not cooperate with recruitment agencies. Applicants will have to apply on their own. Apart from the uni-assist fee, there is no registration/application fee.

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:

Vice Dean, Academic Programme Director "AI Engineering of Autonomous Systems" (Master)
Prof. Dr.-Ing. Michael Mecking
Phone: +49 841 9348-7985
Room: A107
E-Mail: Michael.Mecking@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.

Links

Semester dates

 

Accreditation

View into the labs

Labs of the Faculty

CARISSMA-Labs

Research@AImotion

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Technische Hochschule Ingolstadt
  • Esplanade 10
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