Master of Science in Automation and Robotics
A multidisciplinary MSc programme specialising in robotics, process automation, and machine learning at TU Dortmund University.
Best for:Best for students with a BSc in engineering, computer science, or related fields seeking advanced expertise in robotics, automation, and machine learning.
Overview
The Master of Science in Automation and Robotics at TU Dortmund University offers a comprehensive programme focused on robotics, process automation, and machine learning. Students gain expertise in designing, modelling, and controlling robotic systems, optimising complex processes, and applying data-driven methods for intelligent systems. The curriculum provides a strong foundation in mathematics, control theory, data science, and scientific programming, allowing students to tailor their studies through elective courses, project work, and a Master’s thesis. The programme is fully on-site with optional online elements and is designed to be completed in four semesters, with intakes in both winter and summer semesters.
What you'll do
- Develop a solid foundation in mathematics, control theory, robotics, data science, and scientific programming through core modules.
- Select elective courses to specialise in areas such as advanced control, autonomous systems, computer vision, and intelligent data-driven methods.
- Engage in project work, either individually or in small groups, to explore current scientific and technological topics in depth.
- Complete a Master’s thesis focused on a specific research topic in robotics, automation, or machine learning.
- Participate in laboratory courses and tutorials to apply theoretical knowledge in practical settings.
- Develop individual research profiles through elective courses and establish connections with relevant research groups for thesis opportunities.
Requirements
Degree required: Bachelor of Science (BSc) in Electrical Engineering, Computer Science, Mechanical Engineering, or a related field.
Degree offered: Master of Science (MSc)
Language: English proficiency at C1 level (e.g., IELTS Academic 7.0, TOEFL iBT 95, PTE Academic 76, or equivalent).
Instruction: English (with optional German courses for supplementary study)
- Proven mathematical proficiency and substantial knowledge in computer systems
- Strong background in relevant BSc coursework (verified by academic transcripts)
- Ability to work in English at an advanced (C1) level
- No minimum age requirement
- No nationality restrictions, but application deadlines vary for EU and non-EU applicants
- No prior work experience required for formal admission
Funding & terms
Programme and admissions
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A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.
- Intake
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- Duration
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- Taught / research mode
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- Prerequisites
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How to apply
Deadline: 1 November - 15 January (for summer semester, non-EU applicants); 1 January - 15 May (for winter semester, non-EU applicants)
Applicants must submit their application through the uni-assist portal. Required documents include academic transcripts, proof of English proficiency, a CV, a letter of motivation, and proof of payment for the application fee. Non-EU applicants must also provide proof of health insurance and, if applicable, a visa.
- BSc academic transcripts
- Proof of English proficiency (e.g., IELTS, TOEFL, PTE)
- CV
- Letter of motivation
- Proof of payment for application fee
- Proof of health insurance (for non-EU applicants)
- Visa (if applicable, for non-EU applicants)
Contact
International Office· Application Support
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