Dr. Lasse Mohr

Assistant Professor

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Biography

Lasse Mohr is a PhD student at the Technical University of Denmark (DTU), specializing in the fields of Network Science and Social Data Science. His current research focuses on modeling large scale social networks, contributing to the understanding of social systems through advanced machine learning techniques. With a dedication to the UN Sustainable Development Goals, Lasse's work aims to leverage social data to promote sustainable practices and insights that align with global initiatives. He is involved in ambitious projects that not only explore the intricacies of social networks but also aim to generate actionable insights through data analysis. Lasse's commitment to understanding service usage and extracting meaningful data from various sources exemplifies his academic journey and contributions to the field of social science.

Research Interests

Requirements for Technical University of Denmark

Master Program
Requirements
GPA Requirement
Required:3
IELTS
Listening
Required:6.5
Reading
Required:6.5
Writing
Required:6.5
Speaking
Required:6.5
Overall
Required:6.5
TOEFL
Listening
Required:20
Reading
Required:20
Writing
Required:20
Speaking
Required:20
Total
Required:88
Prerequisites
Bachelor of Science in Engineering or equivalent Strong background in Mathematics and Physics
Application Checklist
  • Official Bachelor's degree diploma
  • Official transcripts of records
  • Statement of purpose
  • Curriculum Vitae (CV)
  • Documentation of English proficiency
  • Copy of passport
Specialization Notes

This requirement applies generally across Technical University of Denmark (DTU) MSc programs including Computer Science, Applied Mathematics, and Engineering disciplines. Specific prerequisites vary by department/curriculum.