jacobs university data engineering

Last Updated on December 24, 2022

Whether you are a student, teacher, or working professional in the field of data engineering, Jacobs University’s Data Engineering dual-degree program will empower you with the scientific, technological and business knowledge you need to succeed in a data-driven world. Their Data Engineering Masters program will take you to the next level with a combination of classroom theory and hands-on learning.

The Jacobs University Data Engineering course is a comprehensive, hands-on degree program. It immerses students in a world of data science and technology through classrooms, libraries, and research labs on campus as well as through practical field experience at industrial partners like SAP. The program provides extensive training in key data engineering skills including data mining and machine learning (deep learning), while also giving immersive training in core areas of computer science such as databases, artificial intelligence, and software engineering. Classes provide the opportunity to work with the latest open source tools, including R and Python. Students have the option to pursue internships at various industrial partners such as SAP for classroom credit or at other companies for experiential credit.

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masters in data engineering

Data Engineering – The Program

The graduate program in Data Engineering offers a fascinating and profound insight into the methods and technologies of this rapidly growing area.

The program combines big data aspects of “Data Analytics” as well as of “Data Science” with the technological challenges of data acquisition, curation, and management.

Thus, the program provides the essentials for paving the way to a successful career: computer skills and mathematical understanding paired with practical experience in selected application fields. 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, and Business & Supply Chain Engineering. These tracks are a preparation for the Advanced Projects within the Discovery Area and the Master Thesis.

what is data engineering


Join our web session, which will be around 20-30 minutes long followed by a Q&A. Talk to our professors and learn more about our master’s program. After you registered, you will receive an e-mail with instructions on how to join the web session.

  • MSc Data Engineering – Introduction to the programGet a first impression of the Data Engineering Graduate Program at Jacobs University. Learn more about the different tracks and electives, the curriculum and get to know members of the faculty, presented by Prof. Dr. Stefan Kettemann.
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Program Start Date 2021:last week of August (orientation week), first week of September (classes)
Tuition:€ 20,000 per academic year
Scholarships:All applicants are considered for merit-based scholarships of up to € 12,000 per year.
EU students are eligible for a minimum guaranteed scholarship of €4,000.
Application Deadlines 2021:June 1 (global) and July 15 (for applicants who do not need a visa)
Duration:2 years full-time
Financing Options:Each admitted candidate will receive an individual financial package.
Graduate Programs | Jacobs University - Inspiration is a Place

data engineering courses


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 Jacobs 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 integration of remote sensing and GPS. It thereby provides an 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.

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jacobs university masters

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 Jacobs 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 (CP) are ECTS (European Credit Transfer System) credit points. In order to graduate, students need to obtain 120 CP.

Elective Area

Elective Area (15 CP)

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 case of the tracks with 10 CP).

Methods Area

Methods Area (15 CP)

In the Methods Area advanced concepts, methods and technologies of data engineering are introduced with a view towards 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.

Within the Methods Area Jacobs University offers special remedial modules, which are recommended to refresh knowledge or to fill knowledge gaps, preparing students to successfully take the Data Engineering Core Area modules. Based on a placement test in the orientation week, the academic advisor will propose which of the modules are useful depending on prior knowledge of the student.

Discovery Area

Discovery Area (15 CP)

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 Jacobs University or during internships in companies. The projects are supervised by Jacobs University faculty.

Career Area

Career Area (15 CP)

In this area students acquire skills preparing them for a career as data engineers in industry.

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