Dr. Ansgar Steland

Professor

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Biography

Ansgar Steland is a professor in the Institute of Statistics and Econometrics at RWTH Aachen University, specializing in stochastic processes, applied mathematical finance, and machine learning. He is an associate editor for the journal Econometrics Statistics and plays an active role in organizing conferences, including EcoSta 2026 in Kyoto, Japan. His recent research focuses on improving statistical models in business applications and practical aspects of machine learning in environmental data analysis. Steland has contributed to various collaborative projects, including those with the Bosch AI Center and TU Delft, highlighting his engagement with contemporary issues in AI and statistical modeling. He offers courses in mathematical statistics and time series analysis, mentoring students in both Bachelor and Master’s programs in Mathematics and Data Science. Steland has participated in significant research grants and has been an advocate for responsible AI practices, underscoring the importance of evaluating risks associated with artificial intelligence. His scholarly activity includes publications in respected journals, notably in the fields of econometrics and statistics, where he examines theoretical and applied dimensions of stochastic analysis and learning processes.

Research Interests

Requirements for RWTH Aachen University

Master Program
Requirements
GPA Requirement
Required:2.5
GRE General
Verbal
Required:145
Verbal Percentile
Required:15
Quantitative
Required:160
Quantitative Percentile
Required:75
Analytical Writing
Required:3.5
Overall
Required:3.5
TOEFL
Total
Required:90
IELTS
Overall
Required:6.5
Prerequisites
Bachelor's degree in Computer Science or closely related field Substantial background in Computer Science and Mathematics Module description document/Module catalog
Application Checklist
  • Online application via RWTHonline
  • Transcript of Records
  • Degree Certificate
  • Module Catalog/Course Descriptions
  • Tabular Resume/CV
  • Proof of English Proficiency
  • GRE General Test Result (Non-EU/EEA)
Specialization Notes

Includes Software Systems Engineering. GRE is mandatory for Non-EU/EEA applicants.