Big Data & Analytics

The entry requirements to study MS in Data Analytics in Germany will vary as per the university. However, the general MS in Data Analytics in Germany requirements are given below:

• A bachelor's degree
• A work experience of 1 year is required by some of the universities
• English Language Proficiency scores 
• GRE or GMAT scores 
• Academic Transcripts 
• Resume or CV 
• Copy of Passport

Germany is an excellent study destination for students pursuing a Master's course in Data Analytics or Data Science as it has many renowned universities, mainly focuses on research, and also has a vibrant tech industry. In general, German universities are known for their academic excellence, industry collaboration, and practical approach to education. Some of the reasons to pursue MS degree in Germany are:

• Top-quality education
• Job-market for Data Science
• International companies
• Lots of English taught degrees

Also Read: Top 10 Reasons to Study in Germany 

Germany is one of the top destinations for higher education among international students. Many German universities offer MS in Data Analytics programme such as:

• Technical University of Munich
• University of Hildesheim
• University of Magdeburg
• Ludwig Maximilians University

Data analysts are hired for data management, data mining, data forecasting, and other related roles. The average salary of a data analyst in Canada is around USD68,249. Robertson & Company Ltd., Roevin, Epsilon Solutions Ltd., Quantum Management Services Ltd., Nuovo Artistic Photography, Capgemini, etc. are some of the recruiters that hire data analysts.

Data Analytics, as a profession, is in demand. As technology spreads its wings and business models are driven more by data, the demand for data analysts will increase. Canada is home to some of the biggest multinational companies. In addition, the policies are immigration-friendly and education is relatively more affordable as compared to other countries such as the USA. All these factors make Canada a sought-after location for academics and work. Moreover, it is considered a stem data course in Canada. This increases its desirability in the job market.