Artificial Intelligence (M. Sc.)

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How do you develop innovative AI solutions for the digital world of tomorrow?

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.

Degree
Master of Science (M. Sc.)
Duration
3 semesters
Start of studies
Summer & Winter
NC
Yes Admission information

Accreditation
Yes
Aptitude Procedure
Yes
Dual Study
Yes
Main teaching language
English

Location
Ingolstadt

The Master's degree programme in Artificial Intelligence builds on a Bachelor's degree in Artificial Intelligence, Data Science or a related field. It deepens scientific knowledge and skills with regard to the development and design of the latest methods and concepts of artificial intelligence. In addition to the design, implementation and application of artificial intelligence solutions and deep learning algorithms, especially in the context of language and images, efficient data management concepts and aspects of AI security are also covered. It also sharpens your awareness of the influence of artificial intelligence on society and the economy and the changes it brings.
You can take compulsory elective modules from the related degree programmes Business Information Systems Engineering and Cloud Applications and Security Engineering. This gives you the opportunity to develop your skills in other highly topical and sought-after subject areas. Further options are available with regard to a project and seminar.
The degree programme enables you to work independently in the field of development and application of artificial intelligence and prepares you for an internationalised career in this field in industry or science (e.g. doctorate).

Curriculum

1. Semester

Seminar
3 ECTS

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.

AI in Safety-related systems
5 ECTS

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.

Social Implications of Artificial Intelligence
5 ECTS

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.

Advanced Speech Technology
5 ECTS

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.

Project
7 ECTS

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.

Elective
5 ECTS

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

2. Semester

Intelligent Robotics
5 ECTS

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.

Deep Learning Applications
5 ECTS

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.

Advanced Computer Vision
5 ECTS

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.

Elective
5 ECTS

Avionics and Autonomous Flying, Computing and Connectivity Technologies, Security of Modern Networks, Systems Engineering and Architecting for Edge Computing

Interdisciplinary Elective
5 ECTS

Entrepreneurship Coaching, Global Business and Economics 1/2, Innovation Management Methods

Advanced Big Data Concepts and Technologies
5 ECTS

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.

3. Semester

Master Thesis
30 ECTS

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.

Quick Info

Applying for a degree course

The programme starts in the winter semester (October 1st) and summer semester (March 15th).

Requirements

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.

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

If you are an applicant from abroad, you may qualify for a scholarship from the German Academic Exchange Service (DAAD): www.daad.de
If you are a German students we recommend to research for suitable scholarships on www.mystipendium.de
Please note that we cannot offer any guidance or support concerning scholarship applications.

We recommend that single students budget at least 1200 EUR per month to meet personal expenses (accommodation, health insurance, stay, books, semester contribution)

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 800 euros per semester (Bachelor 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

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.

Please note that the study course is offered in English and therefore sufficient knowledge of the English language is essential.

Link: Proof of language skills.

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.

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

FAQs

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:

Degree in a Bachelor's programme in Artificial Intelligence, Data Science, Computer Science, Mathematics, Engineering, Computational Linguistics or an equivalent Bachelor's programme.
English language skills at a B2 level.
Solid prior knowledge in the field of artificial intelligence and machine learning. These will be inquired about via an aptitude test.

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.

Contact options for prospective students

Apply online

Academic Advisor

Programme director and academic advisor "Artificial Intelligence (M Sc.)"
Prof. Dr. Sören Gröttrup
Phone: +49 841 9348-2332
Room: L211
E-Mail: Soeren.Groettrup@thi.de

Module Handbook

A module handbook describes the modules belonging to a study course. It contains information on admission requirements, learning content and objectives, ECTS points, duration, workload, literature, examination types, lecturers and module coordinators of the modules and lectures of the respective study course.

The module handbook linked here belongs to the German-language Master's in Artificial Intelligence (valid till start in winter semester 2024): Modulhandbuch Master Künstliche Intelligenz

The translated module handbook for the English-speaking Master's Artificial Intelligence (start in summer semester 2025) can be found here: Modul handbook Master Artificial Intelligence

Study and Examination Regulations

Study and examination regulations (SPO) deal with judicial matters concerning your study course. For more information 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.