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Machine Learning and Neural Computing

Join a cutting-edge master's program focused on AI and neural networks.

Best for:Best for aspiring data scientists and AI researchers with a background in computer science or related fields.

Radboud University · Nijmegen, Netherlands
More professors at Radboud University
Machine LearningNeural NetworksArtificial IntelligenceData Science
This is a masters position — not a PhD studentship.
Deadline
Apr 1, 2027
169 days
Funding
—
2 years
Start date
unknown
Location
Nijmegen
Netherlands

Overview

The Machine Learning and Neural Computing master's program at Radboud University offers students an opportunity to delve into advanced topics in artificial intelligence and neural networks. This program is designed for individuals who are eager to explore the theoretical and practical aspects of machine learning. Students will engage in hands-on projects and research, preparing them for careers in academia or industry. Applicants are expected to have a strong foundation in relevant fields and meet specific language proficiency requirements.

Machine LearningNeural ComputingAIData ScienceMaster's Program

What you'll do

  • Engage in advanced coursework in machine learning and neural computing.
  • Participate in hands-on projects to apply theoretical knowledge.
  • Conduct research in the field of artificial intelligence.
  • Collaborate with peers and faculty on innovative projects.

Requirements

Degree required: Bachelor's degree in Computer Science or a related field

Degree offered: Master of Science

Language: English; TOEFL 100, IELTS 7.0, or equivalent

Instruction: English

Required skills
  • Strong analytical and problem-solving skills
  • Proficiency in programming languages such as Python
  • Familiarity with machine learning frameworks
  • Ability to work collaboratively in teams
Nice to have
Experience with data analysis and visualization toolsKnowledge of statistical methodsBackground in software development
Eligibility
  • Open to international students
  • Must hold a relevant bachelor's degree

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

How to apply

Deadline: 2027-04-01

Interested candidates should apply through the university's official application portal. Ensure all required documents are submitted by the deadline.

Documents required
  • CV
  • Cover letter
  • Bachelor's degree transcripts
  • Language proficiency proof
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.