Dr. Pierre Nyquist

Associate Professor

Build a Statement of Purpose

Generate a tailored SOP for Dr. Pierre Nyquist. Improve your application with a focused, well-structured draft.

Biography

Pierre Nyquist is an Associate Professor at KTH Royal Institute of Technology, specializing in probability theory and its applications. His research interests include large deviations, stochastic control, Monte Carlo methods, and statistical learning. He is actively engaged in teaching and examining courses related to Financial Mathematics. Through his work, Pierre contributes to the advancement of theoretical foundations and practical methodologies in his field. His academic background and extensive experience allow him to guide students and help them navigate complex mathematical concepts. Pierre maintains a personal webpage detailing his research and teaching activities, enriching the academic community's resources.

Research Interests

Probability Theory Large Deviations Stochastic Control Monte Carlo Methods Statistical Learning

Experience

Associate Professor

2015-01-01 — Present

KTH Royal Institute of Technology • Stockholm, Sweden

Associate Professor in the Department of Mathematics focusing on research and teaching in probability theory and its applications.

Courses

Degree Project Financial Mathematics, Cycle (SF291X)

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).