Dr. Björn Olof Skytt

Instructor

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Biography

Björn-Olof Skytt is a Senior Universitetsadjunkt at KTH Royal Institute of Technology, specializing in probability theory and statistics. He is responsible for several courses within this field, and his teaching includes both theoretical aspects and practical applications, particularly in statistical learning and machine learning. His experience encompasses a variety of roles as a teacher and examiner, ensuring quality education in statistics. Additionally, he engages in course development, focusing on applied statistics and its relevance in machine learning contexts, providing students with a robust understanding of these crucial concepts in modern data analysis.

Research Interests

Probability Theory Statistics Machine Learning Applied Statistics

Courses

Probability Theory and Statistics (SF1919) Probability Theory and Statistics (SF1921) Probability Theory and Statistics (SF1923) Probability Theory and Statistics (SF1920) Probability Theory and Statistics (SF1914) Probability Theory and Statistics (SF1917) Probability Theory and Statistics (SF1922) Probability Theory and Statistics with Applications in Machine Learning (SF1935) Applied Statistics (SF1925) Applied Statistics (SF1910)

Requirements for KTH Royal Institute of Technology

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:5.5
Reading
Required:5.5
Writing
Required:5.5
Speaking
Required:5.5
Overall
Required:6.5
TOEFL
Listening
Required:0
Reading
Required:0
Writing
Required:20
Speaking
Required:0
Total
Required:90
PTE
Listening
Required:0
Reading
Required:0
Writing
Required:62
Speaking
Required:0
Overall
Required:62
Prerequisites
Bachelor's degree (180 ECTS) in Science, Engineering, or a related field. Specific course requirements vary by department (e.g., Mathematics, Programming, or Subject-specific credits).
Application Checklist
  • Certificates and diplomas of completed degree
  • Transcript of records
  • Proof of English proficiency
  • Copy of passport or ID
  • Curriculum Vitae (CV)
  • Letter of Motivation
  • Letters of Recommendation (if required by program)
  • Summary of Project (if required)
Specialization Notes

Master's programs are organized under Schools; departments listed are units within these schools (e.g., EECS, ABE, CBH, ITM, SCI).