Dr. Andreas Krause

Professor

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Biography

Andreas Krause is a Full Professor at ETH Zurich, specializing in the fields of machine learning and artificial intelligence. He is known for his research contributions that integrate statistical learning with practical algorithms. Krause has a significant background in the development of machine learning techniques that enhance data-driven decision-making processes. His work frequently intertwines theoretical advancements with applications in real-world problems, emphasizing both the significance and the complexities of machine learning in contemporary contexts.

Research Interests

Requirements for ETH Zurich

Master Program
Requirements
GPA Requirement
Required:3.4
IELTS
Overall
Required:7
TOEFL
Total
Required:100
GRE General
Verbal
Required:159
Verbal Percentile
Required:80
Quantitative
Required:168
Quantitative Percentile
Required:81
Analytical Writing
Required:4.5
Writing Percentile
Required:85
Prerequisites
Bachelor's degree in a related field (Engineering, Natural Sciences, or Mathematics) Minimum 180 ECTS credits Subject-specific knowledge equivalent to ETH Bachelor's programs
Application Checklist
  • Bachelor's degree diploma or transcript
  • Official academic transcripts
  • Curriculum Vitae (CV)
  • Letter of Motivation (1 page)
  • Two academic recommendation letters
  • English language proficiency certificate
  • GRE General Test (for non-EU/EFTA applicants)
Specialization Notes

The GRE is mandatory for students who did not obtain their Bachelor's degree in an EU/EFTA state. Some departments (e.g., Computer Science) have specific ECTS credit requirements in core subjects.