Master Program Statistics and Data Science 24 months Postgraduate Program By Ludwig-Maximilians-Universität München |Top Universities
Subject Ranking

# 51-100QS Subject Rankings

Program Duration

24 monthsProgram duration

Main Subject Area

Statistics and Operational ResearchMain Subject Area

Program overview

Main Subject

Statistics and Operational Research

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The subject matter of the consecutive master's program Statistics and Data Science is advanced methods for collecting data correctly, extracting reliable information from data, and drawing scientifically sound conclusions. One focus is on the ability to independently develop powerful methods that are precisely tailored to complex content-related questions. On the one hand, in-depth methods of statistical inference, machine learning and statistical modeling are taught, and on the other hand, interdisciplinary communication skills are taught, especially in order to be able to formalize content-related questions appropriately and to be able to prepare the analysis results accordingly for practical consulting in science, administration and business. Students specialize in one of the areas "Machine Learning", "Biostatistics", "Statistics and Data Science in the Social Sciences", "Econometrics" and "Modeling Methodology", where they are introduced to current methodological research.

Program overview

Main Subject

Statistics and Operational Research

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The subject matter of the consecutive master's program Statistics and Data Science is advanced methods for collecting data correctly, extracting reliable information from data, and drawing scientifically sound conclusions. One focus is on the ability to independently develop powerful methods that are precisely tailored to complex content-related questions. On the one hand, in-depth methods of statistical inference, machine learning and statistical modeling are taught, and on the other hand, interdisciplinary communication skills are taught, especially in order to be able to formalize content-related questions appropriately and to be able to prepare the analysis results accordingly for practical consulting in science, administration and business. Students specialize in one of the areas "Machine Learning", "Biostatistics", "Statistics and Data Science in the Social Sciences", "Econometrics" and "Modeling Methodology", where they are introduced to current methodological research.

Admission Requirements

5.5+
72+
160+
Bachelor's degree (180 ECTS) in Statistics or Data Science as a major, minor, or focus; At least 150 ECTS (equal to 5 semesters) must be proven, final degree can be submitted later; English proficiency B2 (or English degree); German knowledge A1 (or German school or university degree), can be submitted later.

2 Years
Apr
Oct

Scholarships

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