Dr. Erik Fransén

Professor

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Biography

Erik Fransén is a Professor at KTH Royal Institute of Technology in the Department of Computer Science. With a notable presence in both academia and research, he also serves as a visiting professor at the University of Edinburgh's Centre for Clinical Brain Sciences. His work focuses on leading research projects that utilize Time-series Machine Learning, Computational Neuroscience, and Computational Biology. He is dedicated to teaching courses including the Advanced Individual Course in Computational Biology and Mathematical Modelling of Biological Systems. Fransén's research contributions have been recognized, relating to Nobel Prize awards, and he has a strong publication record, including significant works on neural synapse mapping in mice. He actively engages in teaching and managing research initiatives that advance the understanding of complex biological systems through computational methods.

Research Interests

Courses

Advanced Individual Course in Computational Biology Mathematical Modelling of Biological Systems

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).