Data Engineering

Data Engineering Technologies

Master of Science - Online Graduate Program
The program

The online graduate program in Data Engineering Technologies (online) offers a fascinating and profound insight into the methods and technologies of this rapidly growing area. The program combines the big data aspects of “Data Analytics” and “Data Science” with the technological challenges of data acquisition, curation, and management via databases and warehouses, big data pipelines, and cloud computing. Thus, the program provides the essentials for paving the way to a successful career in data engineering: computer skills and mathematical understanding paired with acquiring experience in selected application fields.

MSc Data Engineering Technologies (online)

Program duration: 2 Years (4 semesters)

Degree and ECTS points: Master of Science, 120 ECTS

Starting date: Fall 2024

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Interested in the program?
Online Teaching

The master program in DET (online) applies proven and effective teaching and learning modalities that engage distance learners and support a vibrant learning community. This means that students participate in online courses with predominantly asynchronous lectures and learning activities complemented by synchronous tutorials and hands-on sessions. Students are guided and supported by faculty and experienced tutors and lecturers to transfer acquired knowledge into practice. The hands-on elements include dedicated collaboration with other students using tools and concepts that enable distributed work from different places and different time zones. Students enrolled in online study programs will find their course materials, such as videos, case studies, scholarly articles, websites, podcasts, online games, etc., on a Learning Management Software (LMS) platform provided by Constructor University.

Online program
2 years full-time
€ 5,000 per academic year
Fall Intake 2024:
Classes start the first week of September
International university in Europe (THE 2023)
private university in Germany (THE 2023)
Job success within a year (Alumni survey)
Student clubs, 1 campus
Ready for your future?
Program Admission Requirements

The Data Engineering Technologies (online) program requires students to hold a bachelor’s degree in computer science, physics, applied mathematics, statistics, electrical engineering, communications engineering, or related disciplines. Applicants need to prove a strong interest in the contents of the study program in a motivation letter. The following documents need to be submitted with the application:

  • Letter of motivation
  • Curriculum vitae (CV)
  • Official or certified copies of university transcripts
  • Bachelor’s degree certificate or equivalent
  • Language proficiency test results (minimum score of 90 (TOEFL), 6.5 (IELTS) or 110 (Duolingo)).
  • Copy of Passport
  • Letter of recommendation (optional).
Do you have any questions or need consultation?

 Sibei Lin, Student Recruitment Officer

Call us or write us – we are happy to help you with your inquiry.

Sibei Lin

Recruitment Counselor Online Program


Phone: +49 160 9780 2420

Target group
The Data Engineering Technologies (online) program attracts students with diverse career goals, backgrounds, and prior work experience. It is open to the 21-year-old student who has just graduated with a Bachelor’s degree, as well as a person who already has been employed in a data-intensive company and who wants to keep up with current data engineering practices. The Data Engineering graduate program is targeted towards students who have completed their BSc in areas like computer science, physics, applied mathematics, statistics, electrical engineering, communications engineering or related disciplines, and who want to deepen their knowledge and proceed to research-oriented work towards a master or ultimately a PhD degree.
Students learning
Study online on our virtual campus

Students are guided through their studies via the state-of-the-art Learning Management System (LMS) provided by Constructor, leveraging an active approach to knowledge discovery.

Tutors and lecturers support our students in their learning through virtual study groups, peer evaluation, and mentoring. This is an online program with optional blended elements such as internships at our partner institutions to gain professional experience

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School of Computer Science & Engineering

The study program Data Engineering is part of the School of Computer Science & Engineering.

Understanding the worldwide flow of people, goods and information is important in today’s globalized world.

Information influences the life of the individual and the cohesion of societies and cultures in many different ways.

Expertise in different disciplines, such as computer science, communication technology, logistics, mathematics and psychology are brought together in the development of new solutions.

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