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Data Science (Master)
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.
Studienaufbau / Module
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.
Nebenfächer
Beim Masterstudiengang "Data Science" handelt es sich um einen Ein-Fach-Masterstudiengang, bei dem keine
Nebenfächer studiert werden.
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.
Voraussetzungen und Anforderungen
Zugangsvoraussetzung
• 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
Dienstgebäude:
Ludwigstr. 27/I, Zi. G 109
Tel.: +49 (0) 89 / 2180-9000
Fax: +49 (0) 89 / 2180-2967
Postanschrift:
Geschwister-Scholl-Platz 1
80539 München
www.lmu.de/studienanfrage
Öffnungszeiten:
Mo bis Fr: 9:00–12:00 Uhr
Di bis Do: 13:00–16:00 Uhr
August: Mo bis Fr: 9:00–12:00 Uhr
LUDWIG-MAXIMILIANS-UNIVERSITÄT MÜNCHEN
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Eignungsverfahren
The application process has two stages:
1. Online application
until the 1st of june
2. Interview
If your online application is successful you will be invited to an interview.
Unterrichtssprachen
English
Erwünschtes Profil
Applicants need to provide evidence of knowledge in Data-based modelling: this includes, for example, statistics, data
mining, probability theory, machine learning (at least 30 ECTS or equivalent); and Computational Methods: this includes,
for example, informatics, database-oriented methods, computational statistics, optimisation procedures (at least 30 ECTS
or equivalent).
Angebote zur Studienorientierung
• Fachstudienberatung, s.u.
• Webseite des Faches: www.m-datascience.mathematik-informatik-statistik.uni-muenchen.de/index.html
Ansprechpartner
Adresse des Fachs
Sprechstunden, Aushänge, Änderungen des Lehrangebots
Ludwig-Maximilians-Universität München
Institut für Statistik
Ludwigstraße 33
80539 München
Internet: www.statistik.lmu.de
Fachstudienberatung
Inhaltliche und spezifische Fragen des Studiums, Studienaufbau, Stundenplan, fachliche Schwerpunkte
Ansprechpartner der Fachstudienberatung Master Data Science:
www.m-datascience.mathematik-informatik-statistik.uni-muenchen.de/contact
Übersicht
Abschluss:
Master
Abschlussgrad:
Master of Science (M.Sc.)
Fachtyp:
Hauptfach
Studienform:
Weiterführendes Studium mit berufsqualifizierendem Abschluss
Studienbeginn:
Das Studium kann nur im Wintersemester begonnen werden.
Regelstudienzeit:
4 Fachsemester
Fakultät:
Bewerbung und Zulassung
Zulassungsmodus
1. Semester:
Zulassungsmodus
höheres Semester:
Keine Zulassung höherer Fachsemester
LUDWIG-MAXIMILIANS-UNIVERSITÄT MÜNCHEN
Eignungsfeststellungsverfahren:
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Die Aufnahme des Studiums setzt die Teilnahme an einem Eignungsfeststellungsverfahren voraus.
Es können sich kurzfristige Änderungen in Bezug auf das Studienangebot, den Studienabschluss, die
Zulassungsbedingungen und den Studienbeginn ergeben! Bitte überprüfen Sie diese Informationen zeitnah zum
Bewerbungstermin unter www.lmu.de/studienangebot.
Stand: 10.08.2016