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Master
Deutsch

Data Science & Analytics (M.Sc.)

SRH Fernhochschule Riedlingen

Dauer

4 Semester

Sprache

Deutsch

Studiengebühren

407.33 EUR/Semester

Frist

Siehe Universität

Über diesen Studiengang

The Master's distance learning program Data Science & Analytics (M.Sc.) qualifies you to participate in the development of smart products. You will recognize growth opportunities in the IoT sector and identify potential for new business models. You will develop a data strategy for a company or a long-term project. In the distance learning program "Data Science & Analytics", you will be taught the basic principles of empirical research as well as the fundamentals, methods, and evaluation procedures of quantitative data analysis. The use of AI methods and their application possibilities in practical use cases round off the application-oriented area. You will acquire special communication skills that you need for target definition, requirements gathering, expectation management, and the presentation of the results of a requirements analysis for a company. In this degree program, we will teach you knowledge that will enable you to professionally implement organizational, procedural, and IT technical concepts for building and leading successful teams in data science. You will evaluate and prepare data for analysis or use in machine learning and assess it qualitatively in order to develop a data strategy for a company or a long-term project. You will consider the (data protection) legal provisions and ethical issues in the context of data usage. In your practical project, you will practice practical application, goal refinement, and requirements analysis up to the communication skills you need for strategic implementation in a company. You will become an expert in data analysis and create new knowledge from it. The increasing digitalization of all corporate and life areas generates constantly growing amounts of diverse data. To use this data profitably, it must be prepared and evaluated. As a Data Scientist or Data Analyst, you will examine large amounts of data and identify trends, develop forecasts, and thus transform data into information.

Studienform

Online

ECTS

120 ECTS

Campus

Riedlingen

Schwerpunkte

Machine Learning
Business Analytics
Empirical Social Research
Data Analysis
Artificial Intelligence
Requirements Analysis and Communication
Data Management
Data Lab Management
Big Data Management & Analytics
Statistics and Machine Learning Models
Data Protection, Ethics and Law
Practical Project and Transfer Competence

Karrierewege

Consultant Data Analysis & Reporting
IT Consultant Artificial Intelligence
Data Scientist
Machine Learning Engineer
(Big) Data Engineer
Innovation Manager Data Science
IoT

Studiengangdetails

  • Abschlussarbeit erforderlich
  • Auslandssemester möglich

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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