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Computer Science and High-Tech Engineering● OpenMastersPreview

MSc in Computer Science and High-Tech Innovation

Interdisciplinary master’s programme blending AI, nanotechnology, and industrial innovation for high-tech sectors.

Best for:Best for computer science graduates with an interest in interdisciplinary engineering, semiconductor technologies, and applied AI who want to bridge academic research with industrial innovation.

Leiden University · Leiden, Netherlands
More professors at Leiden University
semiconductor nanotechnologyhigh-precision instrumentationhardware-software integrationinterdisciplinary engineeringindustrial R&D collaborationAI applications in manufacturing
This is a masters position — not a PhD studentship.
Deadline
Apr 1, 2027
169 days
Funding
—
2 years
Start date
Flexible (typically aligned with university intake)
Full-time
Location
Leiden
Netherlands

Overview

This master’s specialisation at Leiden University merges computer science, artificial intelligence, and cutting-edge engineering to prepare students for careers in high-tech industries like semiconductor manufacturing. Students explore nano-material design, precision instrumentation, and hardware-software integration while collaborating with industrial partners on real-world projects. The programme emphasises hands-on experience through case studies, guest lectures, and multidisciplinary teamwork, bridging academic research with practical industry applications. Graduates gain expertise in both technical innovation and business-oriented problem-solving, making them versatile for roles in R&D, product development, and tech-driven industries. The curriculum is designed for those seeking a rigorous, interdisciplinary foundation in high-tech innovation.

MSc Computer Sciencehigh-tech innovationsemiconductor industrynano-materialsprecision measurementindustrial collaborationinterdisciplinary engineeringAI in manufacturing

What you'll do

  • Develop novel semiconductor nano-materials and design instrumentation for high-precision measurements in collaboration with industry partners.
  • Conduct research projects that integrate software, hardware, and AI to solve real-world high-tech challenges.
  • Participate in multidisciplinary teamwork to address industrial case studies and prototype development.
  • Engage with guest lectures from industry experts to understand business environments and innovation practices.
  • Complete a research project in partnership with a high-tech company, applying academic knowledge to practical applications.
  • Gain practical experience in developing prototypes from conceptualisation to application in industrial settings.

Requirements

Degree required: Bachelor of Science in Computer Science or a related field (e.g., Electrical Engineering, Physics, or Materials Science)

Degree offered: Master of Science (MSc)

Language: English; IELTS overall band score of 6.5 or TOEFL iBT score of 90 (or equivalent Cambridge Certificate scores)

Instruction: English

Required skills
  • Proven academic background in computer science or a closely related engineering discipline
  • Basic understanding of programming and software development
  • Interest in interdisciplinary research combining technology and industry applications
Nice to have
Experience with hardware development or embedded systemsFamiliarity with semiconductor manufacturing processesPrior exposure to AI or machine learning applications in engineering contexts
Eligibility
  • No specific nationality restrictions; open to international applicants
  • No age restrictions
  • No prior work experience required

Funding & terms

Type
Unknown
Amount
—
Duration
2 years
Programme
—

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
Not confirmed by the source
Duration
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Teaching language
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Taught / research mode
Not confirmed by the source
Study mode
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Campus
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Prerequisites
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Application instructions
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Tuition
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Funding
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How to apply

Deadline: 2027-04-01

Applicants must submit their application through Leiden University’s official online portal. Required documents include a CV, proof of academic qualifications, language proficiency certificates, and a motivation letter. Additional materials may be requested depending on the application status.

Documents required
  • CV
  • Proof of Bachelor’s degree and transcripts
  • Proof of English language proficiency (IELTS/TOEFL/Cambridge Certificate)
  • Motivation letter
  • Letter of recommendation (if required)
↗Check programme and admissions

Contact

Admissions Office· Master’s Admissions Coordinator

https://www.universiteitleiden.nl/en/education

Lab
High-Tech Innovation Specialisation
Leiden University
Netherlands
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