Master of Science in Artificial Intelligence
A fully online, part-time Master's programme focused on the mathematical foundations and practical application of AI.
Best for:Working professionals in computer science or engineering seeking to deepen their expertise in AI through a flexible, online curriculum.
Overview
The Master of Science in Artificial Intelligence at the University of Lübeck offers a rigorous technical and scientific approach to AI research. Designed for professionals, the programme is delivered entirely online and on a part-time basis to accommodate working students. The curriculum balances mathematical foundations with hands-on programming, covering core areas such as machine learning, deep learning, and natural language processing. Students are expected to engage with advanced topics including intelligent agents, computer vision, and trustworthy AI systems.
What you'll do
- Complete compulsory core courses in AI foundations and advanced specialisation modules.
- Develop and implement AI algorithms through hands-on programming assignments.
- Participate in online coursework covering parallel computing, fairness, and intelligent agents.
- Conduct independent research and write a Master's thesis in the final stage of the programme.
- Manage academic workload alongside professional commitments in a part-time capacity.
Requirements
Degree required: Bachelor's degree (at least 6 semesters) in Computer Science, Engineering, or a closely related field.
Degree offered: Master of Science
Language: English B2 level; official certificate required (e.g., IELTS Academic 5.5 or equivalent).
Instruction: English
- Minimum final grade of 2.3 or better in undergraduate studies.
- At least 28 credit points in mathematics (analysis, linear algebra, stochastics/statistics).
- At least one year of full-time professional experience in software, project, or system engineering.
- Basic proficiency in computer science and programming.
- Strong motivation aligned with the programme's technical focus.
- Applicants must hold a recognised Bachelor's degree in a relevant technical field.
- Must demonstrate one year of relevant full-time professional experience.
Funding & terms
Programme and admissions
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How to apply
Deadline: 2027-01-15
Applications must be submitted via the uni-assist portal or the university's official online application system. Ensure all academic transcripts and proof of professional experience are included.
- Bachelor's degree certificate
- Academic transcripts
- Proof of professional experience
- English language proficiency certificate
- Motivation letter
Contact
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