Space Sciences and Technologies – Sensing, Processing, Communication (Space-ST)

Overview This application-oriented, international Master’s program addresses the three central pillars of space data handling: sensing, processing and communication. Delivered entirely in English, the curriculum is designed to give students a solid grounding in the theoretical foundations while emphasizing practical skills relevant to space science and technology.

Areas of focus and curriculum Students choose between two specializations—Physics for Space Observation and Information Technologies for Space—while studying core topics such as remote sensing, Earth observation, retrieval theory, electronics, communication systems, digital image processing and data analysis. The content links physical principles of space observation with the information-technology tools needed to extract, process and transmit space-derived data.

Teaching and practical experience Instruction combines lectures and worked example classes with interdisciplinary laboratory practicals. These hands-on lab sessions include experiments drawn from the program’s three core areas, allowing you to apply and deepen classroom theory through practical exercises and real-world examples.

Key facts / What to expect

• Instruction language: English (program taught entirely in English)
• Program orientation: Application-focused, international Master’s level
• Core themes: Sensing, Processing, Communication
• Specializations: Physics for Space Observation; Information Technologies for Space
• Topics covered: Remote sensing, Earth observation, retrieval theory, electronics, communication, digital image processing, data analysis
• Teaching formats: Lectures, example classes, interdisciplinary laboratory practicals with experimental work

This modular master's programme blends core coursework, specialised topics, electives and hands-on training to build expertise in space sensing, signal processing and communications. During the first academic year (semesters 1–2) you cover fundamental subjects that underpin space systems and choose one of two specialisation tracks: Physics for Space Observation or Information Technologies for Space. The second year (semesters 3–4) deepens your chosen specialisation and shifts focus toward independent research, with the programme culminating in a Master's thesis.

Key modules include the compulsory core units that establish the theoretical and methodological foundation, the two alternative specialisation sequences (Physics for Space Observation; Information Technologies for Space), elective courses to broaden or deepen expertise, and practical courses that provide applied, project-based learning. Together these elements prepare you to analyse and design sensing, processing and communications components used in space applications.

Learning outcomes

• Gain a strong theoretical grounding in the fundamentals relevant to space sensing, processing and communication.
• Acquire concentrated, track-specific knowledge depending on your specialisation choice (observation physics or information technologies).
• Develop applied skills through practical courses and projects, and demonstrate independent research competence by completing a Master's thesis.
• Be prepared for roles in space engineering, data analysis, communications and research through a combination of coursework and project experience.

Program components and requirements (concise)

• Modular structure combining core modules, specialisation subjects, electives and practical courses
• First year (semesters 1–2): foundational coursework + selection of one specialisation (Physics for Space Observation OR Information Technologies for Space)
• Second year (semesters 3–4): continuation of the chosen specialisation and start of research activities
• Completion of an independent research project culminating in the Master's thesis

Graduates are prepared for technical and analytical roles in the space and Earth observation sectors, such as satellite payload and instrument engineering, remote sensing scientist, satellite data analyst, communications engineer, and systems engineer for space missions. The programme's emphasis on sensing, data processing and communications, together with hands-on lab experience, makes alumni attractive to space agencies, aerospace companies, Earth observation firms, geoinformatics and environmental monitoring organisations, and telecom businesses.

The solid methodological and research training also provides a clear pathway into research and doctoral studies. Graduates can expect opportunities in R&D departments, technology startups in the space/data domain, and consulting roles that require expertise in image processing, retrieval algorithms and signal/electronic systems for space applications.