Data Engineering Technologies - Online
Constructor University Campus, Germany
Master of Science in Data Engineering Technologies (Online)
Constructor University
Data Engineering & Computer Science
Program Overview: MSc Data Engineering Technologies (Online)
The online Master of Science in Data Engineering Technologies at Constructor University is taught by the School of Computer Science and Engineering. It combines the big data aspects of data analytics and data science with the technological challenges of data acquisition, curation, and management through databases, data warehouses, big data pipelines, and cloud computing.
This program is designed for students who have completed a bachelor's degree in computer science, physics, applied mathematics, statistics, electrical engineering, or related disciplines. It provides an in-depth understanding of data-based decision-making and the skills required to apply and implement these powerful methods in a responsible manner.
Delivered through a state-of-the-art Learning Management System, the program uses both synchronous and asynchronous formats aligned with problem- and project-based learning. Tutors and lecturers support students through virtual study groups, peer evaluation, and mentoring, with optional blended elements such as internships at partner institutions.
Key Program Highlights
- Fully online MSc from a top-ranked private German university with the same academic value as on-campus programs
- Interdisciplinary curriculum spanning data analytics, machine learning, cloud computing, and database management
- Access to the German job market after graduation, including eligibility for a 6-month job search visa
- Flexible learning format that allows you to balance your studies with professional and personal commitments
Curriculum and Modules
The Data Engineering Technologies curriculum is divided into four semesters and structured around four module areas: Core (45 CP), Methods (22.5 CP), Foundations (22.5 CP), and Master Thesis (30 CP). Each semester combines core, methods, and foundation modules, culminating in a master thesis that may be conducted in collaboration with an industry partner.
Data Acquisition and Sensor Technologies
7.5 CPCovers methods of data acquisition from the internet and sensors, including the use of microcontrollers to process and transmit data to databases and servers.
Database Systems and Data Management
7.5 CPFocuses on setting up and using databases to efficiently and securely manage and access large amounts of data in distributed environments.
Statistical Modeling and Data Analytics
7.5 CPIntroduces statistical model building including data mining methods, signal processing, and analytical techniques for data-based decision-making.
Machine Learning and Deep Learning
7.5 CPCovers supervised machine learning methods, core ideas of deep learning, and the design and implementation of various data representations for classification and regression.
Big Data Pipelines and Cloud Computing
7.5 CPAddresses the technological challenges of building and managing big data pipelines and leveraging cloud computing infrastructure for large-scale data processing.
Master Thesis
30 CPAn independent research project in a specialized area of data engineering, which may be conducted in collaboration with an industry partner, utilizing appropriate scientific and applied research methods.
Elective and Specialization Options
Admission Requirements
Admission to the MSc Data Engineering Technologies (Online) at Constructor University is selective and based on a candidate's academic achievements, recommendations, and self-presentation. The program is targeted towards students who have completed a bachelor's degree in a relevant discipline and wish to deepen their expertise with an application-oriented master's degree.
Academic Requirements
- Previous DegreeBachelor's degree in computer science, physics, applied mathematics, statistics, electrical engineering, communications engineering, or related disciplines
- Academic PerformanceStrong academic record demonstrating exceptional achievements and intellectual creativity
- Analytical SkillsElevated analytical, problem-solving, and verbal communication skills substantiated in recommendation letters
- MotivationStrong interest in the program contents demonstrated through a motivation letter
- Required ECTS CreditsMinimum 180 ECTS credits from a recognized bachelor's program
English Language Requirements
- TOEFL iBTMinimum score of 90
- IELTSMinimum score of 6.5
- Duolingo English TestMinimum score of 110
Required Documents
Application Deadlines
For personalized admission guidance, document verification, and application support, please contact Uni4Edu
Scholarships and Funding
Constructor University is committed to making education accessible and offers various forms of financial support. While specific scholarship and tuition deferral programs may vary for online programs, students are encouraged to explore available funding opportunities through Uni4Edu.
Academic Achievement Scholarship
All students are considered for an academic achievement scholarship based on their bachelor's grade point average. The scholarship amount varies depending on academic performance and is entirely non-repayable.
For detailed tuition fee information, please contact Uni4Edu — we will guide you through the costs and available funding options for this program.
Career Prospects
The demand for data engineers is massive and growing across nearly every industry. Graduates of the MSc Data Engineering Technologies program are well-prepared for careers in the finance sector, energy sector, automotive and health industries, as well as retail and telecommunications. The degree also provides access to the German job market and qualifies graduates for doctoral studies.
Typical Career Roles
Industries and Employers Hiring Data Engineers
Rankings and Recognition
Constructor University, formerly Jacobs University Bremen, is a private English-language research university founded in 2001 in Bremen, Germany. It is recognized for its strong international outlook, research environment, and commitment to teaching excellence, consistently performing well in major global and national rankings.
| Subject | Ranking Body | Rank |
|---|---|---|
| Computer Science | CHE Ranking | Above National Average |
| Mathematics | CHE Ranking | Exceptional (Publications & Third-Party Funding) |
| International Outlook | THE World Rankings | 93.5/100 |
| Teaching & Internationality | CHE Ranking (Germany) | #1 in Germany (2021) |
How to Apply
Applying for this program is easy with Uni4Edu. Our team will guide you through every step of the process — from document preparation to final enrolment.
Contact Uni4Edu
Reach out to our team via email or phone. We will assess your profile and confirm your eligibility for this program.
Prepare Your Documents
Our advisors will provide you with a personalised checklist of required documents and help you prepare your application package.
Submit Your Application
Uni4Edu will submit your application on your behalf and keep you updated on its progress throughout the review period.
Receive Your Offer
Once accepted, we will help you understand your offer, arrange visa support if needed, and guide you through the enrolment process.
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