Dr. Bertram Steininger

Associate Professor

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Biography

Bertram Steininger is an associate professor in the Department of Real Estate and Construction Management at KTH Royal Institute of Technology, specializing in real estate finance. His research focuses on quantitative-oriented studies in financial technologies, including Artificial Intelligence (AI) and Machine Learning (ML), as well as the implications of tokenization within the finance and real estate sectors. Steininger also examines sustainability and natural risks in real estate investments, exploring both direct and indirect investment vehicles such as REITs and crowdfunding. He holds the position of director of studies for the international master's program in Real Estate and Construction Management and has contributed significantly as a managing editor for the German Journal of Real Estate Research. His publications span several esteemed journals dedicated to real estate finance and economics, underlining his commitment to advancing academic knowledge while bridging theory and practice in the real estate domain.

Research Interests

Courses

Applied Statistics (FAH3451) Basic Statistics for Economists (AI1175) Degree Project in Building Real Estate Economics (AI206X) Financial Econometrics (AI1177) Financial Economics in Real Estate Applications (AI2153)

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).