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Stiftungsuniversität Hildesheim
Master Englisch Informatik

Data Analytics (MSc)

Master

Über das Programm

The international Master’s programme in Data Analytics offers a comprehensive and forward-looking education in modern data science, combining rigorous training in state-of-the-art machine learning, big data technologies, and statistical analysis with application-oriented knowledge from selected domains. Students gain a deep understanding of advanced analytical methods and acquire the practical skills needed to model and interpret complex systems. The programme prepares graduates to address real-world challenges across a variety of sectors, including business areas like marketing, finance, and logistics as well as scientific fields such as computer science and environmental studies. Teaching is closely integrated with ongoing research and industry practice. The curriculum is developed and delivered by experienced faculty and domain experts, ensuring that students are exposed to both theoretical foundations and practical applications throughout their studies. Course Highlights Project: The project spans one academic year and is conducted under the supervision of a faculty member. Students independently explore advanced topics in machine learning, gaining hands-on research experience. Many student groups have presented their work at major conferences and even received awards for their contributions. Application Modules: These modules allow students to explore how machine learning is applied in various domains such as natural language processing, business administration, psychology, and climate science. They provide valuable interdisciplinary insight into real-world applications of data analytics. Methodological Specialisation: Students deepen their expertise through specialised courses in advanced machine learning topics. Offerings may include areas like computer vision, time series analysis, and other cutting-edge methods tailored to specific analytical challenges.
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The international Master’s programme in Data Analytics offers a comprehensive and forward-looking education in modern data science, combining rigorous training in state-of-the-art machine learning, big data technologies, and statistical analysis with application-oriented knowledge from selected domains. Students gain a deep understanding of advanced analytical methods and acquire the practical skills needed to model and interpret complex systems. The programme prepares graduates to address real-world challenges across a variety of sectors, including business areas like marketing, finance, and logistics as well as scientific fields such as computer science and environmental studies. Teaching is closely integrated with ongoing research and industry practice. The curriculum is developed and delivered by experienced faculty and domain experts, ensuring that students are exposed to both theoretical foundations and practical applications throughout their studies. Course Highlights Project: The project spans one academic year and is conducted under the supervision of a faculty member. Students independently explore advanced topics in machine learning, gaining hands-on research experience. Many student groups have presented their work at major conferences and even received awards for their contributions. Application Modules: These modules allow students to explore how machine learning is applied in various domains such as natural language processing, business administration, psychology, and climate science. They provide valuable interdisciplinary insight into real-world applications of data analytics. Methodological Specialisation: Students deepen their expertise through specialised courses in advanced machine learning topics. Offerings may include areas like computer vision, time series analysis, and other cutting-edge methods tailored to specific analytical challenges.

Welche Berufe eröffnet dieses Programm?

Verwandte Berufssuchen aus Daten der Bundesagentur für Arbeit (BERUFENET):

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Kurze Antworten zu Data Analytics (MSc) an der Stiftungsuniversität Hildesheim

Wird Data Analytics (MSc) an der Stiftungsuniversität Hildesheim auf Deutsch oder Englisch unterrichtet?

Dieser Master Studiengang wird in Englisch unterrichtet. Stelle sicher, dass du die Sprachanforderungen (z.B. TestDaF, DSH, IELTS oder TOEFL) vor der Bewerbung überprüfst.

Wie viel kostet der Studiengang Data Analytics (MSc)?

Keine Studiengebühren (nur Semesterbeitrag). Internationale Studierende sollten zusätzlich etwa 800–1000 EUR/Monat für Lebenshaltungskosten in Deutschland einplanen.

Was sind die Zulassungsvoraussetzungen für Data Analytics (MSc) an der Stiftungsuniversität Hildesheim?

Typische Anforderungen sind: ein anerkannter Sekundar-/Bachelorabschluss, Nachweis der Sprachkenntnisse (Englisch) und (für Nicht-EU-Bewerber) eine uni-assist Bewerbung plus Finanzierungsnachweis (Sperrkonto ~11.904 EUR/Jahr).

Wann ist die Bewerbungsfrist?

Die Bewerbungsfristen variieren: Das Wintersemester endet in der Regel am 15. Juli, das Sommersemester am 15. Januar. Bestätige die genaue Frist immer auf der offiziellen Universitätswebsite.

Kann ich während des Studiums von Data Analytics (MSc) in Deutschland arbeiten?

Ja. Internationale Studierende dürfen ohne zusätzliche Genehmigung bis zu 140 volle Tage / 280 halbe Tage pro Jahr arbeiten. Nach dem Abschluss kannst du eine 18-monatige Arbeitserlaubnis zur Jobsuche beantragen.

Wie bewerbe ich mich an der Stiftungsuniversität Hildesheim — direkt oder über uni-assist?

Die meisten deutschen Universitäten akzeptieren internationale Bewerbungen zur Dokumentenprüfung über uni-assist. Einige Universitäten akzeptieren Direktbewerbungen — überprüfe die Programmseite auf der offiziellen Website.

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