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MSc Robotics & Autonomous Systems

Advanced control, perception and decision-making for autonomous systems.

Qualification
einschlägiger Bachelorabschluss (180 ECTS) oder ein als gleichwertig anerkannter Abschluss
Academic credits
120
Study mode
Hybrid / Online
Language of instruction
Deutsch / English
Duration
4 Semester
Start
1. Oktober 2027
Tuition
2.450 EUR pro Semester, insgesamt 9.800 EUR
Application deadline
15. Juli 2027

Overview

Advanced control, perception and decision-making for autonomous systems. The programme combines scientific foundations with project-based engineering practice, delivered in structured semesters with supervised teaching.

Curriculum

Illustrative curriculum. The officially approved module structure will be published once programme documentation is available.

  1. Semester 1

    • Robot Mechanics and Kinematics
    • Modern and Optimal Control
    • Sensors and Perception
    • Robot Programming (ROS 2)
  2. Semester 2

    • Navigation, SLAM and Path Planning
    • Grasping and Manipulation
    • Machine Learning
    • Research Seminar
  3. Semester 3

    • Human–Robot Collaboration
    • Multi-Robot and Swarm Systems
    • Mobile Robotics and Autonomous Vehicles
    • Research Project
  4. Semester 4

    • Master's Thesis and Defence

Learning outcomes

  • Apply scientific method to technical problems
  • Design, model and evaluate complex systems
  • Communicate results to specialist and international audiences
  • Assess technological developments in ethical and legal terms

Admission requirements

  • Relevant bachelor's degree (at least 180 ECTS) or an equivalent recognised foreign degree with an overall grade of 2.5 or better
  • Evidence of proficiency in the language of instruction — English C1 (IELTS 7.0 / TOEFL iBT 95) or German C1 (TestDaF 4x4 / DSH-2), depending on the language of instruction
  • Complete application documentation — transcripts, language certificate, CV and identity document

Career opportunities

  • Development and design roles in technology-driven organisations
  • Research and development in institutes and industry
  • Project and systems responsibility in interdisciplinary teams
  • Progression to master's or doctoral study

Virtual laboratories

Practical engineering education requires laboratory work. TU Eisenfeld develops virtual laboratory environments in which students work with realistic models, measurement data and control tasks.

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