Data Engineering

Data Engineering is a program taught at Technische Fachhochschule Berlin, Germany. Intake: Okt.. The program is offered in campus-based modes with full-time options.

The Data Engineering degree at Technische Fachhochschule Berlin prepares students to tackle the dynamic field of data management and analysis. This program combines elements of computer science, data science, and information systems to equip students with the technical and analytical skills needed to design and implement robust data infrastructures. Students will delve into topics such as database systems, big data technologies, data warehousing, and ETL (Extract, Transform, Load) processes, ensuring they are well-versed in handling vast amounts of data.

The course structure typically includes a combination of theoretical lectures, hands-on projects, and practical lab sessions, allowing students to apply their knowledge in real-world scenarios. Throughout the program, students will gain proficiency in programming languages such as Python and SQL, and they will also learn about data security and privacy, which are crucial in today’s data-driven landscape.

Studying Data Engineering in Germany offers a unique advantage due to the country's strong emphasis on technology and innovation. As one of Europe’s leading tech hubs, Berlin is home to numerous startups and established companies looking for skilled professionals who can effectively manage and analyze data.

The minimum requirements for admission in Data Engineering at Technische Fachhochschule Berlin for all applicants (Domestic or International) are:

• program specific academic requirment set by Technische Fachhochschule Berlin.
• English Language OR any other language requirments as set by Technische Fachhochschule Berlin as pre-requiste for admission in Data Engineering.

Note: Please check the university website in the link below.

Typical academic prerequisites for the Data Engineering program include:

• A high school diploma or equivalent qualification
• Strong foundation in mathematics and computer science
• Relevant coursework or experience in programming is advantageous

International students are usually expected to demonstrate proficiency in English through standard tests. Acceptable scores might include:

• IELTS: Minimum overall band score of 6.5 with no band lower than 6.0
• TOEFL: Minimum score of 90 on the internet-based test

Please check detail of study units at https://www.bht-berlin.de/studiengaenge

• Data Engineer
• Data Analyst
• Database Administrator
• Business Intelligence Developer
• Big Data Engineer
• Data Architect
• Machine Learning Engineer

72 fully funded scholarships are listed for Germany. See Germany scholarships.