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Alle Studiengänge
Master
Englisch

Data Science

Bielefeld University

Dauer

4 Semester

Sprache

Englisch

Studiengebühren

Keine Studiengebühren

Frist

Siehe Universität

Über diesen Studiengang

Due to the constant increase in data volumes and data complexity, Data Science has created a new, interdisciplinary field of work that covers a wide range of aspects of data analysis, such as handling large amounts of data, statistical modelling, visualisation, pattern recognition with machine learning methods, but also ethical and legal questions. Data Scientists are urgently needed for many socially significant developments, e.g. in the areas of intelligent vehicles or housing, artificial intelligence or social media. The extraction of information from data is a genuinely interdisciplinary undertaking: The data collection and the communication of the results of the analyses require a link to the domain from which the data originate. The processing and analysis of the data requires an interaction of computer algorithms with statistical methods. In this Master’s degree programme students acquire the relevant skills for these endeavours. These include the foundations of machine learning that allow to critically assess the merits and dangers of harvesting massive amounts of data. The inclusion of classical statistical tools adds to the understanding of the limitations of artificial intelligence and data driven methods. At graduation students have a rich tool chest at their disposal ranging from the required IT-skills to the statistical knowledge allowing for the development of new machine learning methods and the application of modern tools of data extraction in many areas. Students also learn to work in a highly interdisciplinary environment as the program is run by the Faculty of Business Administration and Economics and the Centre for Statistics (ZeSt) jointly with the Faculty of Technology. Finally the program also provides ample possibilities to discuss pressing questions concerning legal and ethical implications of modern machine learning approaches. As a consequence the graduates are well equipped for the booming labour market longing for data science experts.

Studienform

Vollzeit

ECTS

120 ECTS

Campus

Bielefeld

Schwerpunkte

machine learning
statistical modelling
data analysis
data visualisation
pattern recognition
ethical and legal questions
IT-skills
statistical knowledge
development of new machine learning methods
application of modern tools of data extraction
interdisciplinary environment
legal and ethical implications of modern machine learning approaches

Karrierewege

Data Scientists
intelligent vehicles
housing
artificial intelligence
social media

Studiengangdetails

  • Abschlussarbeit erforderlich

Benötigte Dokumente

Allgemeine Anforderungen für Master Studiengänge in Deutschland. Studiengangsspezifische Anforderungen werden angezeigt, sobald Sie eine Reise für diesen Studiengang beginnen.

  • Beglaubigte Kopie der Bachelorurkunde
  • Beglaubigte Übersetzung der Bachelorurkunde
  • Beglaubigtes Transcript of Records (alle Semester)
  • Gültiger Reisepass (Kopie der Passbildseite)
  • Tabellarischer Lebenslauf

Akademische Anforderungen

Anerkannter vorheriger Bachelorabschluss

Ein abgeschlossener Bachelor (oder gleichwertiger Abschluss), den die Hochschule für die Masterzulassung anerkennt. Prüfen Sie anabin und den konkreten Studiengang. Dreemli trifft keine Anerkennungs- oder Zulassungsentscheidungen. Über die Anerkennung entscheiden anabin, uni-assist und/oder die Hochschule.

Häufig gestellte Fragen

Kurze Antworten auf die häufigsten Fragen zur Bewerbung für dieses Programm.

Land & Bewerbungsschritte

Schritt für Schritt von der Bundeslandwahl bis zum Aufenthaltstitel.

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