Overview
The Data Engineering program from Constructor University focuses on the application of computer skills and mathematical knowledge to solve real-world problems in different industries. It appeals to students who completed their BSc in areas like computer science, physics, applied mathematics, statistics, electrical engineering, communications engineering, or related disciplines, 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.
Career perspectives
- Typical fields of work encompass the finance sector, the automotive and health industry, as well as retail and telecommunications.
- Companies and institutions in almost every domain are in demand for experts in data acquisition, management, and analysis.
- The employability of Data Engineering graduates is promoted by organizing contacts with industry and research institutes throughout the curriculum.
- Internships in research institutes or companies, as well as public big data challenges fostering students’ practical skills in the second and third semester.
- Graduates of the program work as data analysts, data managers, data architects, business consultants, software and web developers, or system administrators.
- A MSc degree in Data Engineering also allows students to move on to a PhD and a career in academia and research institutions.
Programme Structure
Courses include:
- Data Acquisition Technologies and Sensor Networks
- The Big Data Challenge
- Data Visualization and Image Processing
- Data Analytics
- Machine Learning
Data Engineering Advanced Project
- IT-Law
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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Language
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Credits
Delivered
Campus Location
- Bremen, Germany
Disciplines
Computer Sciences Data Science & Big Data Software Engineering View 75 other Masters in Data Science & Big Data in GermanyWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
Prepare for Your English Test
AI-powered IELTS feedback. Clear, actionable, and tailored to boost your writing & speaking score. No credit card or upfront payment required.
- Trusted by 300k learners
- 98 accuracy using real exam data
- 4.9/5 student rating
Other requirements
General requirements
Proof of Identity
University Transcripts
Curriculum Vitae CV
Proof of English Language Proficiency
Motivation Statement
- Recommendation Letter
Student Insurance via Studyportals Partner
Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items like Additional medical costs, Repatriation, Liability etc. Make sure your student insurance covers your needs.
Studyportals partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.
Get your student insurance nowStarting from €0.53/day, free cancellation any time.
Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Constructor University and/or in Germany, please visit Student Insurance Portal.
Tuition Fees
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International Applies to you
Applies to youNon-residents20000 EUR / year≈ 20000 EUR / year -
EU/EEA Applies to you
Applies to youEU/EEA Nationals20000 EUR / year≈ 20000 EUR / year
Living costs
Bremen
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Education is a substantial investment in your future, at Constructor University we strive to make it an affordable reality for students from across the world. Therefore, we offer students personalized financing offers to help cover their tuition fees. They consist of one or more types of financial support in the form of scholarships and tuition deferrals. You only start repaying the deferred tuition fees once you successfully entered the job market. That way you can focus completely on your studies.
In order for us to give you accurate scholarship information, we ask that you please confirm a few details and create an account with us.
Scholarships Information
Below you will find Master's scholarship opportunities for Data Engineering.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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