Dr. Manfred Kronz

Assistant Professor

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Biography

Manfred Kronz is a faculty member at the Department of Data Science at Friedrich-Alexander-Universität Erlangen-Nürnberg, where he specializes in various aspects of applied data science and statistical analysis. His work mainly focuses on the intersections of data science with practical applications in several fields, contributing to advancements in understanding complex data structures and developing efficient algorithms. His academic endeavors are centered around enhancing the methodologies used in data processing and statistical modeling, aiming to improve predictive analytics and decision-making frameworks. Kronz is involved in both theoretical research and practical application aimed at empowering students and professionals through education in data science. He actively collaborates with industry practitioners and engages in projects that bridge academic research with real-world applications, ensuring the relevance and application of his research work.

Research Interests

Experience

Assistant Professor

— Present

Friedrich-Alexander-Universität Erlangen-Nürnberg • Erlangen, Germany

Engaged in teaching and research in the field of Data Science, focusing on statistical methodologies and applications.

Requirements for Friedrich-Alexander-Universität Erlangen-Nürnberg

Master Program
Requirements
GPA Requirement
Required:2.5
TOEFL
Total
Required:85
IELTS
Overall
Required:5
Prerequisites
Bachelor's degree in Computer Science or a closely related subject Proof of relevant subject-specific knowledge (approx. 120 ECTS in CS modules)
Application Checklist
  • Bachelor's degree certificate
  • Transcript of Records
  • Secondary school leaving certificate
  • CV
  • Letter of Motivation
Specialization Notes

Department of Computer Science. Program involves a Qualification Assessment Process (QAP).