Dr. Henrik Hult

Professor

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Biography

Henrik Hult earned his PhD in Mathematical Statistics from KTH in 2003. His academic journey includes a postdoctoral position at the University of Copenhagen in 2004 and at Cornell University in 2005. He served as an Assistant Professor in Applied Mathematics at Brown University from 2006 to 2008, before returning to KTH as a Senior Lecturer from 2008 to 2015. In 2015, he became a Professor of Mathematical Statistics and currently directs the Brummer Partners MathDataLab at KTH. His research interests encompass areas such as stochastic processes, Monte Carlo simulation, data science in mathematics, mathematical finance, and insurance. He is involved in several courses related to financial mathematics and statistical methods, demonstrating his commitment to both teaching and research in statistical sciences.

Research Interests

Experience

Professor

2015-01-01 — Present

KTH Royal Institute of Technology • Stockholm, Sweden

Professor of Mathematical Statistics, director of Brummer Partners MathDataLab.

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).