Dr. Henrik Hult

Professor

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Biography

Henrik Hult obtained his PhD in Mathematical Statistics from KTH in 2003. He continued his academic career with a postdoctoral position at the University of Copenhagen in 2004, followed by a postdoc at Cornell University in 2005. He served as an Assistant Professor in Applied Mathematics at Brown University from 2006 to 2008. After returning to KTH, he became a Senior Lecturer from 2008 to 2015 before being promoted to Professor in Mathematical Statistics in 2015. He is currently the director of Brummer Partners MathDataLab at KTH, where he is actively involved in research and teaching in the field of mathematical statistics.

Research Interests

Stochastic Processes Monte Carlo Simulation Mathematics Data Science Mathematical Finance Insurance

Experience

Professor

— Present

KTH Royal Institute of Technology • Stockholm

Teaching and research in Mathematical Statistics.

Senior Lecturer

— Present

KTH Royal Institute of Technology • Stockholm

Involved in teaching and research.

Assistant Professor

— Present

Brown University • Providence

Taught courses in Applied Mathematics.

Courses

Degree Project Financial Mathematics Foundations Probability Theory Mathematics Data Science Probability Regression Analysis Risk Management Selected Topics Mathematical Statistics Statistical Machine Learning

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).