Master of Science in Artificial Intelligence
A cutting-edge programme in AI, deep learning, and data science for industry and research careers.
Best for:Best for graduates with a Bachelor’s in AI, Data Science, or related fields seeking to specialise in AI development, deep learning, and data management for industry or research.
Overview
The Master of Science in Artificial Intelligence at Technische Hochschule Ingolstadt offers a specialised curriculum for students with a background in AI, data science, or related fields. This programme focuses on developing advanced AI methods, deep learning algorithms, and efficient data management, with an emphasis on applications in language and image processing. It also explores AI’s societal and economic impact, preparing graduates for careers in industry or academia, including potential doctoral studies. The programme is taught entirely in English and is designed for full-time study over three semesters, with intake in both winter and summer semesters.
What you'll do
- Develop and implement advanced AI solutions and deep learning algorithms for language and image processing.
- Explore efficient data management concepts and AI security protocols.
- Analyse the societal and economic impact of AI technologies.
- Conduct independent research projects in AI-related fields.
- Prepare for potential doctoral studies or careers in industry.
- Engage in collaborative projects with industry partners and academic researchers.
Requirements
Degree required: Bachelor's degree in Artificial Intelligence, Data Science, Computer Science, Mathematics, Engineering, Computational Linguistics, or an equivalent programme
Degree offered: Master of Science (MSc)
Language: English proficiency at B2 level or equivalent (e.g., IELTS 5.5, TOEFL iBT 72, Cambridge English B2 First, PTE Academic 59, UNIcert® II)
Instruction: English
- Solid prior knowledge in artificial intelligence, machine learning, and deep learning
- Proven aptitude in AI-related fields (demonstrated via an aptitude test)
- Proficiency in programming and data analysis tools
- Understanding of mathematical foundations relevant to AI
- No nationality restrictions
- No residency requirements
- No age limits
- No prior experience caps beyond the Bachelor’s degree
Funding & terms
Programme and admissions
Admissions not verified
A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
- Not confirmed by the source
- Duration
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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Application instructions
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- Tuition
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- Funding
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How to apply
Deadline: 15 October 2026 - 15 January 2027 (Summer Semester) or 1 April 2027 - 15 July 2027 (Winter Semester)
Applicants must submit their application through uni-assist or the university’s official website. The application requires a Bachelor’s degree certificate, proof of English proficiency, and an aptitude test result. Additional documents may include transcripts, a CV, and a motivation letter. The application process is handled centrally by uni-assist, and no application fee is charged apart from the uni-assist fee.
- Bachelor’s degree certificate
- Official English proficiency certificate (B2 level)
- Aptitude test results
- Transcripts of previous academic records
- Curriculum Vitae (CV)
- Motivation letter
- Proof of sufficient financial means (blocked account for non-EU students)
Contact
International Office· Admissions and Student Support
https://www.thi.de/en/studies/application/master-application/
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