Data Science (Master/Hauptfach)

Beschreibung des Studienfachs

Data Science is the science of extracting knowledge and information from data and requires competencies in both statistical and computer-based data analysis. The elite program Data Science is an interdisciplinary program and is carried out jointly by the Department of Statistics and the Institute for Informatics at LMU Munich. The program is part of and is supported by the Elite Network of Bavaria.

The curriculum of the elite master program Data Science is a modularised study program . Students learn statistical and computational methods for collecting, managing, and analysing large and complex data sets and how to extract knowledge and information from these data sets. The program also comprises courses on data security, data confidentiality, and data ethics . In the practical modules students will tackle real-world problems in cooperation with industrial partners . Other highlights of the program are the summer schools and the focused tutorials.

Zugangsvoraussetzungen

Bachelor of Science (or equivalent) in Statistics or Informatics or related disciplines (at least 180 ECTS or equivalent) Excellent knowledge in Informatics and Statistics . Proficiency in English

Tätigkeits- und Berufsfelder

Upon graduation our students are well prepared for a career as a data scientist in the private or public sector in fields such as applied economics, political science, sociology, education, medicine, public policy, and media research. Students may also pursue a doctoral study in a variety of academic disciplines that require quantitative analysis.

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Studiengang
Data Science (Master)
Abschlussgrad
Master of Science (M.Sc.)
Fachtyp
Hauptfach
Regelstudienzeit
4 Fachsemester

Der Studiengang im Detail

The curriculum of the elite master program Data Science is a modularised study program. Students learn statistical and computational methods for collecting, managing, and analysing large and complex data sets and how to extract knowledge and information from these data sets. The program also comprises courses on data security, data confidentiality, and data ethics. Other highlights are the practical modules in which students will tackle real-world problems in cooperation with industrial partners, as well as summer schools and tutorials, and the DataFest. With this training graduates of the master program will be innovative and responsible academics with excellent career opportunities both in industry and economy as well as in science and research.

Highlights of the Curriculum

Methodological as well as practical modules.Courses on data security, data confidentiality, and data ethics.Training of transferable skills.Close cooperation with industrial partners.