Master of Science in Web Engineering
An interdisciplinary master’s programme blending web engineering, AI, and entrepreneurship for scalable, secure digital solutions.
Best for:Best for computer science graduates seeking to specialise in web and AI engineering with hands-on experience in agile development, startup simulation, and international collaboration.
Overview
The Master of Science in Web Engineering at Chemnitz University of Technology is a four-semester, English-taught programme designed for graduates with a strong computer science background. It focuses on developing advanced skills in designing, building, and managing modern web-based and data-centric systems, integrating distributed systems, software engineering, AI engineering, and human-computer interaction. Students engage in challenge-based learning, including team projects, startup simulations, and optional international study abroad, preparing them for careers in web engineering, AI-driven platforms, or doctoral studies. The curriculum emphasizes real-world applications, agile methodologies, and professional development, ensuring graduates are equipped for roles in industry, research, or entrepreneurship.
What you'll do
- Design and develop scalable, secure, and trustworthy web-based systems integrating AI, cloud, and edge computing technologies.
- Apply agile and DevOps/DevSecOps methodologies in collaborative team projects to solve real-world innovation challenges.
- Participate in a simulated startup experience, including market-oriented development of web applications under competitive conditions.
- Conduct independent research on current Web Engineering topics and present findings in a Master’s thesis colloquium.
- Develop professional skills in entrepreneurship, technical sales, marketing, and leadership through dedicated modules.
- Engage in international collaboration through optional study-abroad semesters or co-supervised Master’s theses.
- Utilise AI tools for systematic self-management, productivity, and communication in academic and professional settings.
Requirements
Degree required: Bachelor's degree in Applied Computer Science or Computer Science, or a very similar degree programme
Degree offered: Master of Science (MSc)
Language: English proficiency at B2 level (IELTS Academic: 5.5, TOEFL iBT: 72, or equivalent)
Instruction: English (Master’s thesis can be written in English or German)
- Proven background in computer science fundamentals
- Basic proficiency in software development and distributed systems
- Ability to work collaboratively in agile team environments
- Familiarity with AI concepts and tools
- Open to applicants from all countries
- No minimum age requirement
- No residency restrictions
- No prior work experience required
Funding & terms
Programme and admissions
Admissions not verified
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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- Teaching language
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- Taught / research mode
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- Study mode
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- Campus
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- Prerequisites
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- Tuition
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- Funding
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How to apply
Deadline: 15 January (summer semester) or 15 July (winter semester)
Applicants must submit their application through the official portal eduapplication.de. Required documents include a completed application form, proof of degree, language proficiency certificate, CV, and a letter of motivation. Additional documents may be requested depending on individual circumstances.
- Completed application form
- Proof of Bachelor's degree (transcript and diploma)
- Official English proficiency certificate (B2 level)
- Curriculum Vitae (CV)
- Letter of motivation
- Passport-sized photograph
Contact
International Office· Admissions Contact
https://www.tu-chemnitz.de/international/incoming/stipendien/index.php.en
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