Who is the M.Sc. Applied AI at German UDS suitable for?

The Master's programme "Applied Artificial Intelligence (M.Sc.)" is aimed at those who want to acquire sound and application-oriented knowledge in Artificial Intelligence. The target group includes graduates from STEM subjects (Science, Technology, Engineering, Mathematics), but also those interested from other disciplines related to digital technology. Particularly targeted are people who want to prepare specifically for a career in the field of AI applications in industry, services, healthcare, or education. You should enjoy teamwork, project work, and interdisciplinary solutions to real problems.

Admission requirements

• Completed Bachelor's degree in a STEM subject (e.g. Computer Science, Mathematics, Engineering, Natural Sciences) or another (even non-related) degree.
• English language skills at least at B2 level (CEFR) or equivalent proof.
• A Bachelor's degree from Germany or a comparable internationally recognized degree is required.
• A minimum grade of about 2.5 (in the German system) is recommended but will be considered on a case-by-case basis.

A reliable internet connection and a computer (Windows or Mac) with a webcam and microphone are required for online study.

Personal requirements

• Technical interest in artificial intelligence: Openness to topics of AI, data analysis, machine learning, and ethical aspects of digitization.
• Analytical and logical thinking: The ability to grasp and work on complex connections in a structured way.
• Team skills: Enjoyment of interdisciplinary collaboration as many projects are carried out in groups.
• Self-motivation and willingness to learn: Willingness to actively acquire new knowledge, follow current developments, and test practical applications.
• Communication skills: Confident interaction in international teams as the program is conducted entirely in English.
• Technical basic knowledge: Initial knowledge of programming or data analysis is helpful but not mandatory.

What to expect in the Master's programme Applied Artificial Intelligence?

In the Master's programme "Applied Artificial Intelligence" at German UDS, you will intensively engage with the theoretical foundations and practical applications of artificial intelligence. The content is designed to prepare you for complex challenges in industry, the service sector, healthcare, and education.

• Core topics: Symbolic AI (logical systems), subsymbolic AI (neural networks, deep learning), probabilistic AI, language models, and intelligent controls.
• Application focus: Developing and adapting AI solutions for specific fields such as medicine, industry, education, or the service sector.
• Practical programming: You will work with comprehensive libraries early on, but also learn to develop your own libraries and understand how they function transparently. The comprehensibility and traceability of AI systems are central learning objectives.
• Teamwork and project orientation: Many contents are worked on in teams, often related to current tasks in the industry.
• Critical reflection: You will address ethical issues, security aspects, and societal impacts of AI applications.
• Elective modules: Approximately half of the elective modules can be chosen individually and across disciplines from a wide range of options.

Upon completion of the programme, you will have solid knowledge of symbolism and subsymbolism in AI, be able to handle large datasets, develop models, and transfer them to new contexts. You will also learn to independently design solutions for unsupervised, supervised, and reinforcement machine learning.

How is the Applied AI programme structured?

The programme is modularly organized and spans two years with eight quarters (total of 120 ECTS).

• Compulsory modules: 9 core modules on key AI topics are mandatory.
• Elective modules: 6 elective modules allow for individual specialization or interdisciplinary deepening.
• Practical relevance: Most projects are oriented towards real-world business tasks.
• Final phase: The master's thesis (including independent research project, 30 ECTS) enables either a creative cooperation project or a scientific investigation on a current Applied AI topic.
• Time flexibility: You can complete the programme over a minimum of 2 years (paid service) within up to 3 years. With full payment, a free extension to a total of 4 years is possible.
• Language of instruction: The entire offering is in English.

What career prospects does the degree open up for you?

With a Master of Science in Applied Artificial Intelligence, you qualify for diverse industries and future markets. Overview of career fields:

• AI Developer and System Architect: Developing complex AI systems for various applications.
• Leading challenging AI projects: Coordinating AI teams in companies and research.
• Cross-industry application: Medicine, economics, industry, education sector, security, and service sector.
• Founding your own companies: With solid AI expertise and innovation competence, you can implement your own business ideas in the technology sector.
• Research and development: You are capable of working at the forefront in groundbreaking future technologies.
• Growth and salary prospects: The demand for AI experts is projected to increase by 22% annually. Salaries are developing exceptionally positively.

How much does the Master's cost and how can it be financed?

The tuition fees for the M.Sc. Applied Artificial Intelligence at German UDS are 7,500 € per year. This corresponds to a total of 15,000 € for a 2-year programme.

• Payment options: Annual or full upfront payment; with full payment, a free extension of access for another year is possible.
• Access to learning materials: By paying for an academic year, you have access to the materials for 3 years.
• Scholarships: German UDS offers its own scholarship programmes for financial support.
• Other funding opportunities: Study loans, educational funds, and government funding programmes are generally available to students.