MSc in Artificial Intelligence
An English-taught, research-oriented Master's programme in Artificial Intelligence at the Technical University of Applied Sciences Würzburg-Schweinfurt.
Best for:Best for computer science graduates with strong mathematics and programming backgrounds aiming for advanced careers in AI.
Overview
The Master of Science in Artificial Intelligence at the Technical University of Applied Sciences Würzburg-Schweinfurt is a consecutive, research-focused programme spanning three semesters. Designed to provide deep methodical knowledge and practical expertise, the curriculum covers core machine learning, mathematical foundations, robotics, natural language processing, and computer vision. Students engage in team projects, scientific seminars, and an independent Master's thesis during the final semester. Graduates are well-prepared for roles in AI research, development, and technology management across science and industry.
What you'll do
- Attend lectures and seminars focused on advanced artificial intelligence methodologies and machine learning principles.
- Participate in practical team-based projects addressing real-world AI applications and challenges.
- Examine ethical and legal implications of deploying artificial intelligence technologies.
- Conduct independent scientific research and critically evaluate existing solutions in the field.
- Complete a Master's thesis involving original investigation and application of scientific methods.
Requirements
Degree required: BSc in Computer Science or equivalent university degree with 210 ECTS and an overall grade of 2.0 or above
Degree offered: Master of Science
Language: English; B2 level required via official certificate such as TOEFL iBT (83), UNIcert II, or IELTS Academic (6)
Instruction: English
- At least 20 ECTS earned in mathematics covering statistics, probability theory, linear algebra, and calculus
- At least 15 ECTS earned in computer science covering practical aspects (databases, software engineering) and theoretical aspects (algorithms, data structures)
- Ready-to-use programming skills in languages such as Python demonstrated via source code or work samples
- Applicants from all countries are eligible to apply during the specified application window.
Funding & terms
Programme and admissions
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- Intake
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How to apply
Deadline: 12-15
Applicants must submit their application materials through the online campus portal between 15 October and 15 December. Ensure all academic certificates, language proofs, and supporting documents are properly uploaded before the deadline.
- CV
- Bachelor's degree certificate
- University transcripts
- English language proficiency certificate
Contact
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