Dr. Rebecka Jörnsten

Professor

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Biography

Rebecka Jörnsten is a Full Professor in Applied Mathematics at Chalmers University, specializing in applied statistics and biostatistics. Her research interests encompass model selection, clustering, data integration in systems biology, and the intersection of machine learning with statistics. Jörnsten actively engages in collaborative projects, notably working with the Nelander lab at SciLife in Uppsala University to develop large-scale network models aimed at understanding human cancer.

Research Interests

Applied Statistics Biostatistics Model Selection Clustering Data Integration Systems Biology Machine Learning

Requirements for Chalmers University 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
Writing
Required:20
Total
Required:90
PTE
Listening
Required:62
Reading
Required:62
Writing
Required:62
Speaking
Required:62
Overall
Required:62
Prerequisites
Bachelor's degree in a relevant field of Engineering, Science, or Architecture Minimum 180 ECTS credits Specific course prerequisites in Mathematics (Linear Algebra, Multivariable Analysis, Statistics) Specific course prerequisites in Physics or Chemistry depending on program
Application Checklist
  • Certificates and diplomas from previous university studies
  • Transcripts of completed courses and grades
  • Proof of English proficiency
  • Proof that you meet the specific entry requirements
  • Copy of passport or ID
  • Curriculum Vitae (CV)
  • Letter of Motivation (1 page)
  • Project portfolio (required for Architecture and Design programs)
Specialization Notes

General requirements apply to all departments listed at Chalmers. Specific departments like Architecture require a portfolio. Programs in Management/Economics do not strictly require GMAT/GRE but high academic standing is prioritized.