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Robotics, m.eng.

Faculty of Applied Natural Sciences & Industrial Engineering

  • Tailored Career Tracks: Specialise in either Intelligent Robotics or Assistive Robotics to match your ambitions in smart manufacturing or medical technology.
  • State-of-the-Art Research Hub: Benefit from our co-located research facilities, in particular, the Campus for Intelligent Robotics.
  • Advanced AI Integration: Master perception, machine learning, and advanced motion planning to build next-generation intelligent robotic systems.
  • Industry-Standard Software Tools: Apply your knowledge through hands-on case studies in ROS programming and multi-agent coordination.
  • Full Systems Engineering Lifecycle: Learn to design, simulate, commission, and optimise human-robot interfaces for real-world deployment.
  • Continuous Innovation Mindset: Develop the scientific rigour needed to independently master emerging technical developments throughout your career.

Course Overview

At a glance

Degree

  • Master of Engineering (M.Eng.)

Duration

  • 3 semesters

ECTS points

  • 90

Start

  • Winter semester & summer semester

Location

Taught in 

  • English

Language requirements

  • Necessary proof of German skills (if German is not your native language).
  • Necessary proof of English skills (if English is not your native language).
  • The entrance requirements are stipulated in the study and examination regulations (§3 Qualification for the programme, § 4 Proof of ECTS credits not yet obtained, § 5 Modules and proof of performance).
Details & Application

Application periods

  • 15 April - 15 June (winter semester)
  • 1 October - 1 December (summer semester)

Entry requirements

Academic credit requirement (210 ECTS):

  • Applicants must hold a Bachelor's degree or equivalent qualification comprising at least 210 ECTS credits in robotics or a closely related engineering discipline, awarded by a recognised domestic or international unversity. The DIT examination board evaluates and determines the equivalence of degrees individually upon review of your submitted credentials. 

Master's entrance exam: 

  • Following the respective application deadline, eligibile applicants will receive an email invitation detailing their exam date. Due to tight scheduling, this date is fixed and cannot be changed. 
  • Offered both online and on-campus in Cham, this written exam assesses your Bachelor-level background in Mathematics, Physics, Electronics & Eletrical Engineering, Computer Science, Robotics and Autonomous Systems. 

Recommended credentials (optional)

Submitting these additional qualifications is not mandatory, but will significantly strengthen your application profile. 

German language proficiency:

GATE / GRE scores (test centre only):           

  • Applicants who completed their prior academic qualifications (e.g., undergraduate degree) in a non-signatory state of the Lisbon Recognition Convention are encouraged to submit a GATE or GRE score report. Please note that Home Editions are not taken into account. 

Fees

  • No tuition fees, only student union fee
  • International students from non-EU/EEA countries are required to pay service fees for each semester. Click here to read about our service fees.
Links & Contact

Useful links 

How to reach us 

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CAMPUS CHAM

Here, your future beats to the pulse of technology: our co-located facilities—the Campus for Intelligent Production, the Campus for Intelligent Robotics, and the Digital Innovation Centre (focusing on digital production)—create a highly specialised, hands-on environment for cutting-edge education in mechatronics, robotics, and AI.

Choose your specialisation at the application stage to align your degree with your career goals.

 

Module Overview

Overview of lectures and courses, SWS (Semesterwochenstunden = weekly hours/semester) and ECTS (European Credit Transfer and Accumulation System) in the master's programme "Robotics":

1. Semester SWS ECTS
Robot Dynamics 4 5
Advanced Methods in Control Engineering 4 5
Statistics and Machine Learning for Computer Vision 4 5
Technical Project Management 4 5
Embedded Systems 4 5
Cross-Cultural Development for Engineers 4 5
2. Semester (Specialisation: Intelligent Robotics or Assistive Robotics) SWS ECTS
Specialisation: Intelligent Robotics
Advanced Methods in Robotics 4 5
Image-Processing and Computer Vision 4 5
Robot-Modelling & Simulation 4 5
Industrial Robotics & Automation 4 5
Case Study ROS Robot Programming 4 5
Intelligent Multi-Agent Systems 4 5
Specialisation: Assistive Robotics
Soft Robotics 4 5
Sensor Fusion and Perception for Assistive Robotics 4 5
Biomechanics 4 5
Rehabilitation Robotics 4 5
Case Study Assistive Robotics for Improvement of Life Quality 4 5
Human-Robot Interaction 4 5
3. Semester SWS ECTS
Subject-Related Elective Course (FWP) 4 5
Master's Module: - 25
Master's Thesis - 20
Master's Seminar (two parts: Master's colloquium (2 ECTS) and seminar series "Career Start into German Technology Companies") 2 5
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Career Prospects

Where Might Your Degree Take You?

  • Robotics Engineer | Building smart automation solutions for modern industry.

  • AI Specialist | Engineering intelligent systems, neural networks, and computer vision.

  • Autonomous Vehicle Engineer | Driving innovation in self-driving technologies and mobile robotics.

  • Human-Robot Interaction Designer | Crafting seamless collaboration between humans and robots.

  • Teaching & Research | Advancing scientific boundaries through academic research and higher education.