AI and Advanced Information Technology (MEng)

Overview The programme delivers in-depth training in artificial intelligence, data science, machine learning and contemporary information and communication technologies. You will study core topics such as machine learning and neural networks, advanced data processing, audio and video technologies, cloud computing, Internet of Things, and communication systems, with an emphasis on applying AI-driven solutions in practical, real-world settings. Teaching blends theory with hands-on projects and interdisciplinary teamwork, and the curriculum allows for individual specialisation so you can tailor your studies to particular technical interests or industry applications.

What you’ll gain Graduates are prepared for technically demanding roles that involve designing, developing and deploying intelligent systems across a variety of sectors. The programme focuses on practical problem solving in a rapidly evolving digital landscape, equipping you to integrate AI components into existing systems and to manage complex technological challenges. The course is offered in English and is located in Frankfurt am Main, Germany—an advantageous setting for connecting with industry and research networks.

Application and requirements

• Language of instruction: English (program taught in English)
• Specific admission criteria and application deadlines are not listed here — consult the university’s official programme page for exact requirements.
• International applicants should verify visa, residence, and financing steps with the university and local authorities.
• Prepare to document your prior academic qualifications and relevant experience; the university will confirm which documents are required.

Programme structure and key content:

• Core technical topics: advanced machine learning and neural networks, large-scale/advanced data processing, and the integration of AI-driven solutions into software systems.
• Systems & infrastructure: cloud computing, Internet of Things (IoT) and modern communication systems to support distributed intelligent applications.
• Media & signal technologies: audio and video technologies and their processing as part of multimodal AI systems.
• Learning format and outcomes: emphasis on practical, project-based learning and interdisciplinary collaboration, allowing for individual specialisation. Students complete lab and project work and finish with a Master’s thesis written in English.

On completion, graduates are expected to be able to design, implement and evaluate intelligent systems, integrate AI components into real-world environments, and communicate technical results in English. The full-time programme runs for three semesters on campus in Rüsselsheim.

Graduates are prepared for technical and development roles that involve building and integrating intelligent systems, such as machine learning engineer, AI developer, data engineer, IoT/cloud systems specialist, or roles in R&D and system integration. The programme’s applied focus and project work aim to make graduates industry-ready for positions in companies that deploy AI-driven solutions.

The English-language instruction and thesis also support international mobility and collaboration. Graduates may also pursue further academic research or doctoral studies at other institutions if they wish to deepen their research profile.