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Students
Tuition Fee
EUR 20,000
Per year
Start Date
Medium of studying
Duration
24 months
Program Facts
Program Details
Degree
Masters
Major
Data Science | Data Management | Database Management
Area of study
Information and Communication Technologies
Timing
Full time
Course Language
English
Tuition Fee
Average International Tuition Fee
EUR 20,000
Intakes
Program start dateApplication deadline
2023-09-01-
About Program

Program Overview


The Master of Science in Data Engineering at Constructor University equips students with expertise in data acquisition, curation, and management. With four focus tracks (Computer Science, Geo-Informatics, Bio-Informatics, and Business & Supply Chain Engineering), the program offers hands-on experience and prepares graduates for careers in various industries or further academic pursuits. Students can customize their studies with electives and methods modules, and engage in applied project work culminating in a master's thesis.

Program Outline

Degree Overview:

The Master of Science in Data Engineering program at Constructor University provides students with a comprehensive understanding of the technological challenges of data acquisition, curation, and management. It is designed for 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.


Outline:

The Data Engineering program consists of foundational lectures, specialized modules, industry seminars, and applied project work, culminating in a master's thesis. The program takes four semesters (two years).


Electives:

Students may choose any combination of modules from the following:

  • Data Mining and Machine Learning
  • Big Data Processing and Analytics
  • Cloud Computing for Data Engineering
  • Data Visualization and Communication
  • Data Security and Privacy
  • Advanced Topics in Data Engineering

Methods

Students can choose freely from the following modules:

  • Data Management and Integration
  • Data Mining and Machine Learning
  • Big Data Processing and Analytics
  • Cloud Computing for Data Engineering
  • Data Visualization and Communication
  • Data Security and Privacy
  • Advanced Topics in Data Engineering

Discovery:

This area features in the first semester a Project Seminar introducing students to Current Topics and Challenges in Data Engineering, which is followed by two advanced projects in Data Engineering in semesters 2 and 3, each worth 5 CP.


Career:

Graduates of the Data Engineering program are in high demand in various industries, including finance, automotive and health, retail, and telecommunications. The program also allows students to advance to a Ph.D. and a career in academia and research institutions.

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