Dr. Michael Merz

Professor

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Biography

Michael Merz is a Professor at the University of Hamburg's Business School, specializing in Mathematics and Statistics. His academic career has included a significant role in statistical risk management and actuarial science. He has held previous positions at the University of Tübingen, where he focused on statistics, risk, and insurance. Merz has a doctorate in Economics from the University of Tübingen, where he graduated summa cum laude with a dissertation that dealt with credibility models in risk theory. His research interests span quantitative risk management, stochastic methods in claims reserving, and the development of pricing models for insurance and financial risks. Additionally, he has published numerous works in the fields of financial modeling and actuarial valuation, contributing to both theoretical advancements and practical applications in the insurance industry.

Research Interests

Experience

Professor

2009-09-01 — Present

University of Hamburg • Hamburg, Germany

Leading research and teaching in Mathematics and Statistics.

Junior Professor

2006-10-01 — 2009-08-31

University of Tübingen • Tübingen, Germany

Focused on Statistics, Risk, and Insurance.

Actuary

2004-09-01 — 2006-03-31

Basler Versicherung • Basel, Switzerland

Worked in actuarial science and risk management.

Requirements for University of Hamburg

Master Program
Requirements
GPA Requirement
Required:2.5
IELTS
Listening
Required:6
Reading
Required:6
Writing
Required:6
Speaking
Required:6
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:90
Prerequisites
Bachelor's degree in Computer Science or related field At least 60 ECTS in core computer science subjects
Application Checklist
  • Transcript of Records
  • Bachelor's degree certificate (or preliminary transcript)
  • Proof of English proficiency
  • Curriculum Vitae
  • Letter of Motivation
  • Module descriptions/table of 60 ECTS in CS
Specialization Notes

Includes tracks like Intelligent Adaptive Systems (IAS).