![[Translate to English:]](/fileadmin/_processed_/image-enhancer/53330/20240620_CARISSMA_Gruppe_1-1613x756-crop-default-285-381-1613-908.webp "[Translate to English:]")
Do you want to understand how modern AI works – and help develop it further yourself? Then the Master’s programme in Artificial Intelligence is exactly the right choice for you. Building on a Bachelor’s degree in AI, Data Science or a related subject, you’ll delve deeply into the development of the latest AI methods. You’ll explore deep learning, computer vision, speech and text processing, efficient data management and issues relating to AI security. At the same time, you’ll develop an awareness of the economic, social and ethical implications of intelligent systems.
Through optional modules from other fields of computer science, such as security or cloud applications, you can specialise in specific areas. Practical projects, seminars and close links to AI research at THI provide you with the ideal foundation for a PhD or an international career in AI development. In this way, you’ll grow into an expert who truly understands and shapes AI.
Graduates can work in any company or industry in which artificial intelligence methods and techniques are developed and used. In addition to working as a developer, consulting tasks are also conceivable. The Master's also qualifies for a possible career in the scientific field with an optional doctorate.
Furthermore, the programme takes place in English in an international environment which helps students build additional competences for an international career.
<p>The seminar focuses on current research topics in business information systems. Based on selected literature, students prepare a scientific paper and present their results. Discussions deepen understanding and foster analytical, presentation, and argumentation skills.</p>
<p>Fundamentals of cyber-physical and safety-critical systems are addressed. Topics include standards, risk assessment, and methods for determining safety levels. This is complemented by architectures, safety cases, and techniques for verification and explainability of complex systems.</p>
<p>Ethical, economic, and societal aspects of artificial intelligence are examined from an interdisciplinary perspective. The focus is on normative theories, concepts of justice, and micro- and macroeconomic impacts. Behavioral aspects, empirical methods, and the link between ethics and economics complement the module.</p>
<p>Core concepts of voice assistance systems are covered, including speech recognition, synthesis, text processing, and knowledge representation. Topics such as voice biometrics, emotion detection, and efficient data processing and storage are also addressed.</p>
<p>Within a practice-oriented project, students work in teams on complex tasks in business information systems. Planning, implementation, and organization are managed independently, using classical or agile methods. Lecturers act as coaches or clients. Results are documented and assessed.</p>
<p>Computing and Connectivity Technologies, Multimodal, Interactive Systems, Systems Engineering and Architecting for Edge Computing, Global Business and Economics 1/2, Strategic Foresight and Trend Analysis </p>
<p>The development of intelligent robotic systems is explored through core components and methods. The focus is on sensors, actuators, software architectures, planning, environment modeling, and cooperative behavior of autonomous systems. Practical lab exercises deepen understanding and application.</p>
<p>Core machine learning methods are explored across the full model lifecycle. The focus is on data preprocessing, learning approaches, model evaluation, MLOps, and efficient architectures. This is complemented by monitoring, calibration, and independent scientific work.</p>
<p>Core methods of computer vision are covered, including 3D reconstruction and depth estimation as well as multimodal sensor data processing (camera, LiDAR, radar). Topics include data fusion, SLAM, tracking, and modern approaches such as transformer-based and generative models.</p>
<p>Avionics and Autonomous Flying, Computing and Connectivity Technologies, Security of Modern Networks, Systems Engineering and Architecting for Edge Computing</p>
<p>Entrepreneurship Coaching, Global Business and Economics 1/2, Innovation Management Methods</p>
<p>Technologies and concepts of voice assistance systems are explored. Topics include speech recognition, synthesis, language understanding and generation, and knowledge representation. Additional aspects cover voice biometrics, emotion detection, and efficient computation and storage.</p>
<p>After completing the master’s thesis, students are able to independently develop scientifically sound solutions. They critically assess requirements and approaches and present results clearly and convincingly. They also demonstrate the ability to manage complex tasks efficiently within a given timeframe.</p>
| 1. Semester | |
|---|---|
| 2. Semester | |
| 3. Semester |
A Bachelor's degree in a technical discipline (e.g. Artificial Intelligence, Data Science, Computer Science, Mathematics, Engineering, Computational Linguistics or related fields) with 210 ECTS credit points is required. Please see the statutes of the course for details.
Please follow the link to master application for detailed information.
The programme is held in English. A level of B2 (official European reference frame) is required.
![[Translate to English:] Students with driving roboter](/fileadmin/_processed_/image-enhancer/53360/Labor_Autonomes_Fahren_C107-2400x1600-crop-default-0-0-4500-2530.webp)
The Master's programme in Artificial Intelligence deepens the Bachelor's programme in Artificial Intelligence offered at THI. It thus requires solid knowledge in the field of artificial intelligence and machine learning. These may have been acquired either through relevant study or provable practical experience.
Required prerequisites are:
The Master's programme is closely linked to the AI research institute AImotion (link) here at THI. The compulsory lectures, for example, are held by the THI's AI research professors, who thus also bring current research topics into the courses. There is also the possibility to start directly as a research assistant in an AI research group here at the THI after a successful master's degree.
Another special feature is the proportion of selectable modules. Here, you will be able to take modules from the "neighboring" master's programmes Business Information Systems Engineering and Cloud Applications and Security Engineering. This allows you to combine the contents of the Master's programmes and to integrate competencies in one of the core topics of the other programs into your Master's programme. However, the focus of your studies will naturally remain on the topics of artificial intelligence.
Sufficient prior knowledge of AI, especially in the field of machine learning and deep learning. These are checked in an aptitude test, which is part of your submitted application, and must be passed for admission to the degree programme. Your application will be reviewed by two professors with regard to the criteria you fulfil and the necessary prior knowledge. Thus, the eligibility process will be based on your application - not on an examination, interview, or other performance. A detailed description of the aptitude test can be found in the statutes on the aptitude test.
Yes. You do not have to demonstrate knowledge in all of the areas asked. If you have little or no knowledge and experience in one or the other area, this is not a problem.
Yes, some elective modules may be chosen in German.
You have to prove your English language skills. This can be done through various means. Details can be found here.
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.
Programme director and academic advisor "Artificial Intelligence (M Sc.)"
Master of Science (M. Sc.)
Der Master-Studiengang zu aktuellen Kernthemen moderner Softwareentwicklung in verteilten, vernetzten und mobilen Systemlandschaften.
About the degree program
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
Bachelor of Science (B. Sc.)
The Artificial Intelligence Bachelor's programme combines the fields of computer science, data science and modern AI methods to provide a comprehensive education in intelligent systems. Key areas of focus include machine learning, computer vision, natural language processing and practical AI applications.
About the degree program![[Translate to English:] Frau vor PC, Code/technische Daten in Animation](/fileadmin/_processed_/image-enhancer/50547/ComputerScience_AI_iStock-1244479010-1896x1264-crop-default-1-30-1896-1067.webp "[Translate to English:] istockphoto/metamorworks")
Bachelor of Science (B. Sc.)
On the Bachelor’s degree programme in Computer Science and Artificial Intelligence, you will combine a sound grounding in computer science with the fundamentals of modern AI. You will acquire a wide range of skills in the fields of software development, data science, machine learning and computer vision, which will equip you for future digital technologies and international IT careers.
About the degree programDo you want to understand how modern AI works – and help develop it further yourself? Then the Master’s programme in Artificial Intelligence is exactly the right choice for you. Building on a Bachelor’s degree in AI, Data Science or a related subject, you’ll delve deeply into the development of the latest AI methods. You’ll explore deep learning, computer vision, speech and text processing, efficient data management and issues relating to AI security. At the same time, you’ll develop an awareness of the economic, social and ethical implications of intelligent systems.
Through optional modules from other fields of computer science, such as security or cloud applications, you can specialise in specific areas. Practical projects, seminars and close links to AI research at THI provide you with the ideal foundation for a PhD or an international career in AI development. In this way, you’ll grow into an expert who truly understands and shapes AI.
Graduates can work in any company or industry in which artificial intelligence methods and techniques are developed and used. In addition to working as a developer, consulting tasks are also conceivable. The Master's also qualifies for a possible career in the scientific field with an optional doctorate.
Furthermore, the programme takes place in English in an international environment which helps students build additional competences for an international career.
<p>The seminar focuses on current research topics in business information systems. Based on selected literature, students prepare a scientific paper and present their results. Discussions deepen understanding and foster analytical, presentation, and argumentation skills.</p>
<p>Fundamentals of cyber-physical and safety-critical systems are addressed. Topics include standards, risk assessment, and methods for determining safety levels. This is complemented by architectures, safety cases, and techniques for verification and explainability of complex systems.</p>
<p>Ethical, economic, and societal aspects of artificial intelligence are examined from an interdisciplinary perspective. The focus is on normative theories, concepts of justice, and micro- and macroeconomic impacts. Behavioral aspects, empirical methods, and the link between ethics and economics complement the module.</p>
<p>Core concepts of voice assistance systems are covered, including speech recognition, synthesis, text processing, and knowledge representation. Topics such as voice biometrics, emotion detection, and efficient data processing and storage are also addressed.</p>
<p>Within a practice-oriented project, students work in teams on complex tasks in business information systems. Planning, implementation, and organization are managed independently, using classical or agile methods. Lecturers act as coaches or clients. Results are documented and assessed.</p>
<p>Computing and Connectivity Technologies, Multimodal, Interactive Systems, Systems Engineering and Architecting for Edge Computing, Global Business and Economics 1/2, Strategic Foresight and Trend Analysis </p>
<p>The development of intelligent robotic systems is explored through core components and methods. The focus is on sensors, actuators, software architectures, planning, environment modeling, and cooperative behavior of autonomous systems. Practical lab exercises deepen understanding and application.</p>
<p>Core machine learning methods are explored across the full model lifecycle. The focus is on data preprocessing, learning approaches, model evaluation, MLOps, and efficient architectures. This is complemented by monitoring, calibration, and independent scientific work.</p>
<p>Core methods of computer vision are covered, including 3D reconstruction and depth estimation as well as multimodal sensor data processing (camera, LiDAR, radar). Topics include data fusion, SLAM, tracking, and modern approaches such as transformer-based and generative models.</p>
<p>Avionics and Autonomous Flying, Computing and Connectivity Technologies, Security of Modern Networks, Systems Engineering and Architecting for Edge Computing</p>
<p>Entrepreneurship Coaching, Global Business and Economics 1/2, Innovation Management Methods</p>
<p>Technologies and concepts of voice assistance systems are explored. Topics include speech recognition, synthesis, language understanding and generation, and knowledge representation. Additional aspects cover voice biometrics, emotion detection, and efficient computation and storage.</p>
<p>After completing the master’s thesis, students are able to independently develop scientifically sound solutions. They critically assess requirements and approaches and present results clearly and convincingly. They also demonstrate the ability to manage complex tasks efficiently within a given timeframe.</p>
| 1. Semester | |
|---|---|
| 2. Semester | |
| 3. Semester |
A Bachelor's degree in a technical discipline (e.g. Artificial Intelligence, Data Science, Computer Science, Mathematics, Engineering, Computational Linguistics or related fields) with 210 ECTS credit points is required. Please see the statutes of the course for details.
Please follow the link to master application for detailed information.
The programme is held in English. A level of B2 (official European reference frame) is required.
The Master's programme in Artificial Intelligence deepens the Bachelor's programme in Artificial Intelligence offered at THI. It thus requires solid knowledge in the field of artificial intelligence and machine learning. These may have been acquired either through relevant study or provable practical experience.
Required prerequisites are:
The Master's programme is closely linked to the AI research institute AImotion (link) here at THI. The compulsory lectures, for example, are held by the THI's AI research professors, who thus also bring current research topics into the courses. There is also the possibility to start directly as a research assistant in an AI research group here at the THI after a successful master's degree.
Another special feature is the proportion of selectable modules. Here, you will be able to take modules from the "neighboring" master's programmes Business Information Systems Engineering and Cloud Applications and Security Engineering. This allows you to combine the contents of the Master's programmes and to integrate competencies in one of the core topics of the other programs into your Master's programme. However, the focus of your studies will naturally remain on the topics of artificial intelligence.
Sufficient prior knowledge of AI, especially in the field of machine learning and deep learning. These are checked in an aptitude test, which is part of your submitted application, and must be passed for admission to the degree programme. Your application will be reviewed by two professors with regard to the criteria you fulfil and the necessary prior knowledge. Thus, the eligibility process will be based on your application - not on an examination, interview, or other performance. A detailed description of the aptitude test can be found in the statutes on the aptitude test.
Yes. You do not have to demonstrate knowledge in all of the areas asked. If you have little or no knowledge and experience in one or the other area, this is not a problem.
Yes, some elective modules may be chosen in German.
You have to prove your English language skills. This can be done through various means. Details can be found here.
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.
Programme director and academic advisor "Artificial Intelligence (M Sc.)"
Master of Science (M. Sc.)
Der Master-Studiengang zu aktuellen Kernthemen moderner Softwareentwicklung in verteilten, vernetzten und mobilen Systemlandschaften.
About the degree program
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
Bachelor of Science (B. Sc.)
The Artificial Intelligence Bachelor's programme combines the fields of computer science, data science and modern AI methods to provide a comprehensive education in intelligent systems. Key areas of focus include machine learning, computer vision, natural language processing and practical AI applications.
About the degree program
Bachelor of Science (B. Sc.)
On the Bachelor’s degree programme in Computer Science and Artificial Intelligence, you will combine a sound grounding in computer science with the fundamentals of modern AI. You will acquire a wide range of skills in the fields of software development, data science, machine learning and computer vision, which will equip you for future digital technologies and international IT careers.
About the degree program