Dr. Mattias Sandberg

Associate Professor

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Biography

Mattias Sandberg is an Associate Professor at the Royal Institute of Technology (KTH) in Sweden. His research focuses on various aspects of computational methods, including analytical and numerical methods, differential equations, and machine learning. He plays an active role in teaching several courses, including Analytical Numerical Methods, Partial Differential Equations, and Stochastic Differential Equations. His expertise extends to supervising and examining degree projects in scientific computing. He is also involved in research methodology related to sustainable development and mathematics, combining theoretical knowledge with practical applications.

Research Interests

Computational Methods Analytical Numerical Methods Differential Equations Machine Learning

Courses

Analytical Numerical Methods Partial Differential Equations Stochastic Differential Equations Machine Learning Degree Project Scientific Computing

Requirements for Royal Institute of Technology

Master Program
Requirements
GPA Requirement
Required:3.7
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
Writing
Required:61
Overall
Required:62
Prerequisites
Bachelor's degree (180 ECTS) in a relevant field Calculus in one variable Linear Algebra Probability Theory and Statistics
Application Checklist
  • Certificates and diplomas from previous university studies
  • Transcript of completed courses and grades
  • Proof of English proficiency
  • Copy of passport
  • Curriculum Vitae (CV)
  • Letter of Motivation
  • Summary sheet (if required by program)
  • Letters of Recommendation (standard for most programs)
Specialization Notes

Specific requirements apply to all departments. For Architecture, a portfolio is mandatory and submitted via a separate KTH system.