MSc in Data Engineering
Bremen, Germany
MSc
DURATION
2 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
TUITION FEES
EUR 10,000 / per semester *
STUDY FORMAT
On-Campus
* per semester. Scholarships & funding options available
Key Summary
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.
Career perspectives
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.
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:
- Computer Science
- Geo-Informatics
- Bio-Informatics
- Business & Supply Chain Engineering
These tracks are a preparation for the Advanced Projects within the Discovery Area and the Master Thesis.
Computer Science Track: In particular, Computer Science provides students with the skills to go beyond a mere usage of existing toolboxes and to develop innovative data analysis techniques of their own design.
Geo-Informatics Track: It gives students an introduction to Geographic Information System techniques, principles of spatial analysis, and data mining with the integration of remote sensing and GPS. It thereby provides early exposure to earth science data and its handling.
Bioinformatics Track and the analysis of biomedical data: Integration and model-based interpretation of high-throughput data are severe bottlenecks in biomedical and pharmaceutical research. Data Engineering prepares students for the novel computational challenges in these fields.
Business & Supply Chain Engineering Track: Students can also choose the specialization track in Business & Supply Chain Engineering. A vast amount of data is collected as part of business processes in particular along supply chains. In this specialization track, students will concentrate on the full data analysis cycle including pre-processing of data, data analysis, and deployment of model results within the business process.
Study program structure
Schematic study plan
The Data Engineering graduate program is composed of foundational lectures, specialized modules, industry seminars and applied project work, leading to a master thesis that can be conducted in research groups at Constructor University, at external research institutes or in close collaboration with a company. The program takes four semesters (two years). The following table shows an overview of the modular structure of the program. The program is sectioned into five areas (Core, Elective, Methods, Discovery, and Career) and the Master Thesis. All credit points are ECTS (European Credit Transfer System) credit points. In order to graduate, students need to obtain 120 credit points.
Elective area
The Data Engineering program attracts students with diverse career goals, backgrounds, and prior work experience. Therefore, modules in this area can be chosen freely by students depending on their prior knowledge and interests.
Students may choose any combination of the modules listed below. Each track may be followed completely and/or complemented with other modules (as necessary in the case of the tracks with 10 credit points).
Methods area
In the Methods Area advanced concepts, methods, and technologies of data engineering are introduced with a view toward industrial applications. Students can choose freely from the modules in this area. To enhance flexibility, students may transfer modules between the Elective and the Methods Areas (except for remedial modules) after consulting their academic advisor.
Discovery area
This area features in the first semester a Project Seminar introducing the 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. The projects can be done in the research groups at Constructor University or during internships in companies. The projects are supervised by Constructor University faculty.
Career area
In this area, students acquire skills preparing them for a career as data engineers in the industry.
Master thesis
In the fourth semester, students conduct research and write a master thesis guided and supported by their academic advisor.
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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. We are convinced that a Constructor University’ education will form the perfect foundation for your future career – that is why we are happy to invest in you.
Scholarships
All students are considered for an academic achievement scholarship based on their bachelor's grade point average (GPA). EU students are eligible for a minimum guaranteed scholarship of € 4.000.
Academic Achievement Scholarships (per academic year)
- € 4.000 (Minimum guaranteed amount for EU students)
- € 6.000
- € 8.000 (Maximum scholarship amount irrespective of nationality)
The number of these scholarships is not limited and no separate application is required.
Students are informed about their scholarship amount immediately following admission.
“JU Study@Ease” Tuition Deferral Program
In cooperation with our partner Brain Capital
- Deferral of tuition fees is calculated automatically and available to you shortly after admission.
- You decide whether you want to take advantage of this personalized financing option.
- Granted independently of your financial situation.
- Flexible repayment plan based on your future income and personal circumstances.
External financing options
Depending on availability, additional scholarships sponsored by external partners are offered to highly motivated students. In the past years, Constructor University has awarded scholarships from the BLG Logistics Group, the Bremische Hafenvertretung e.V., the Fritz Hollweg Foundation, the Stiftungsfonds Deutsche Bank and the Conrad Naber Foundation to ambitious graduate students.
There are various external financing options to help pay for your studies at Constructor University. This can be in the form of an external scholarship, external stipend or a student loan.
These scholarships are not administered by Constructor University Bremen. For further information about the requirements and the application process, please contact the appropriate institution directly.
External Scholarships and Stipends
We have compiled a list of German foundations that offer scholarships and stipends to national and international students.
- DAAD Scholarship Database
- MyStipendium.de: Search engine to help you find the stipend which matches your profile
- Elternkompass: Beratung und Hilfe bei der Suche nach einem geeigneten Stipendium (German students only!)
- MLP Stipendienprogramm – für MINT-Studenten ab dem 3. Fachsemester
Student Loans
- BAföG: Grants and student loans given to German students based on their family’s financial situation.
- KfW-Studienkredit: The student loan of the Kreditanstalt für Wiederaufbau (KfW) is the most popular student loan among our German students.
- studienkredit.de: Here you will find more information regarding educational loans in Germany.
Demand for Data Engineers is massive. 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 need:
- Experts for data acquisition who find out how to collect the data needed;
- Experts for data management who know how to store, enhance, protect, and process large amounts of data efficiently;
- Experts for data analysis who evaluate and interpret the collected data correctly and are able to visualize the findings clearly.
- Graduates of the program work as data analysts, data managers, data architects, business consultants, software and web developers, or system administrators;
- An MSc degree in Data Engineering also allows students to move on to a Ph.D. and a career in academia and research institutions.
The employability of Data Engineering graduates is promoted by organizing contacts with industry and research institutes throughout the curriculum. In the first semester, in the Current Topics in Data Engineering seminar, companies and research groups introduce their field of interest. The advanced projects, in the second and third semester, can be combined with internships in research institutes or companies. In the second and third semesters, participation in public big data challenges is organized as an integral part of the curriculum.
Career services center
Today’s business world requires disciplinary knowledge from graduates as well as the ability to apply this knowledge. Career-related services at Constructor University provide information, counseling and training, networks, and events. Constructor University’s students participate in training on project management, business communication, job interview skills, and more. Digital job and internship portfolios help students to prepare for their careers.
Alumni association
Studying at Constructor University gives you connections – often for your whole life.
The Alumni Association E.V. was founded in 2004 by the first generation of graduates. Since then, around 4,500 students have obtained their degrees from this University.