Programme details | |
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Degree: | Master of Science (MSc) |
Disciplines: |
Data Science & Big Data
Computer Science |
Study modes: | full-time |
Delivery modes: | on-campus |
University website: | Data Engineering |
Annual tuition (EEA) | ca. 21,700 USD University currency: 20,000 EUR |
Annual tuition (non-EEA) | ca. 21,700 USD University currency: 20,000 EUR |
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The curriculum of the Data Engineering program provides students with a comprehensive understanding big data aspects of Data Analytics and Data Science, with the technological challenges of data acquisition, curation, and management.
The program focuses on the application of computer skills and mathematical knowledge to solve real-world problems in different industries. It appeals to students with a wide range of career goals and backgrounds, and offers four focus tracks: Computer Science, Geo-Informatics, Bio-Informatics, and Business & Supply Chain Engineering.
These tracks prepare students for advanced projects and their master's thesis, giving them hands-on experience in their area of interest. The program is well-rounded, providing students with theoretical knowledge and practical experience, giving them the tools to succeed in this rapidly growing field.
Today we are “drowning in data and starving for information” while acknowledging that “data is the new gold”. However, deriving value from all the data now available requires a transformation in data analysis, in how we see, maintain, share and understand data.
Data Engineering is an emerging profession concerned with the task of acquiring large collections of data and extracting insights from them. It is driving the next generation of technological innovation and scientific discovery, which is expected to be strongly data-driven.
The program is embedded in the “Mobility” focus area at Constructor University. This focus area investigates the mobility of people, goods, and information. Even though the Data Engineering program is centered in “Mobility”, it includes contributions from and supports applications in the two other research foci: Health (bioactive substances), and Diversity (in modern societies).
Four program tracks to allow specialization:
Moreover, the Data Engineering program attracts students with diverse career goals, backgrounds, and prior work experience. Therefore, the program offers four focus tracks within which the students can choose to specialize further:
Demand for Data Engineers is massive. Typical fields of work encompass the finance sector, the automotive and health industry, retail, and telecommunications.
An MSc degree in Data Engineering also allows students to advance to a Ph.D. and a career in academia and research institutions.
Find more information on the website of Constructor University: