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Deutsch Who is the Master’s in Data Engineering at Constructor University suitable for?
The Master’s programme in Data Engineering is aimed at graduates of technical and scientific Bachelor’s degree courses who wish to deepen their skills in Big Data, data analysis and data-driven technologies. The target group especially includes persons with a first degree in Computer Science, Mathematics, Physics, Electrical Engineering, Statistics, Telecommunications or related fields. The course appeals to both career starters and practitioners who seek a scientifically based and industry-oriented qualification in Data Engineering, for example for roles in research, business, bioinformatics, geoinformatics or supply chain management.
What formal entry requirements do you need to meet?
A prerequisite for admission is a successfully completed Bachelor’s degree (B.Sc. or equivalent) in a relevant subject area, such as Computer Science, Mathematics, Statistics, Physics, Electrical Engineering, Communication Science or related disciplines. The degree should correspond to at least three years of full-time study and be internationally recognised. Applications from other fields of study will be considered provided that solid knowledge in mathematics, programming or statistics can be demonstrated. For the English-language programme, proof of good English skills (usually through standardized tests such as TOEFL or IELTS) is required. There is no explicit requirement for professional experience; however, practical prior experience is advantageous.
You should bring analytical thinking skills and an affinity for technical, scientific or mathematical methods. Experience in programming (e.g. Python, Java, R) and with database systems facilitates the start of your studies. Also advantageous are an interest in interdisciplinary teamwork, independent work on complex problems, as well as the motivation to engage actively with current developments in data science, machine learning and Big Data. Communication skills and openness to international, multicultural learning environments will support your success in this research-oriented and practice-oriented Master’s programme.
Study Content in Detail
In the Master's degree programme in Data Engineering at Constructor University, you receive comprehensive training in the organisation, analysis and utilisation of large volumes of data. The programme covers all aspects of modern data science and combines fundamentals, specialised focus areas and application-oriented projects. Key areas are:
- Data Management & Databases: Methods for efficient storage, access and management of data including data warehousing and cloud computing.
- Data Analysis & Modelling: Statistics, machine learning, data mining as well as the construction and evaluation of complex mathematical models.
- Programming & Technical Implementation: Specific Python programming for data engineering tasks, pipeline engineering, sensor networks.
- Data Security & IT Law: Data protection, data ethics and legal foundations of data processing.
- Four Specialisation Areas:
- Computer Science: Development of innovative analysis methods.
- Geo-Informatics: Geographic information systems, spatial analyses, use of GPS and remote sensing data.
- Bio-Informatics: Analysis of large biomedical and pharmaceutical data sets.
- Business & Supply Chain Engineering: Data analysis to optimise business processes and supply chains.
- Practice-Oriented Projects: Advanced projects, internships, participation in "Big Data Challenges".
- Methodological Competence: Statistics, mathematical fundamentals, visualisation, presentation and communication, academic writing and intercultural training.
The aim is to develop sound knowledge in data collection, management, analysis and the development of data-driven solutions for real-world problems.
Course Structure
The Data Engineering course is organised as a four-semester full-time on-campus study (2 years) at the campus in Bremen. The module structure is divided into the following areas:
- Core Area (45 ECTS): Central compulsory modules from data management, analytics, programming, cloud computing, security and law.
- Elective Area (25 ECTS): Elective modules from the four specialisation areas and adjacent disciplines, including advanced modules such as Big Data, machine learning or data mining. Additionally, there are remedial modules for knowledge refreshment.
- Discovery Area (15 ECTS): Current topics in data science, practical projects, internships or participation in application-oriented challenges.
- Career Area (10 ECTS): Personal and professional development, presentation, science communication, ethics and language training.
- Master's Thesis (30 ECTS): Independent research work in the fourth semester, supervised by the university or in cooperation with companies or external research institutes.
The programme starts at the end of August with an orientation week; regular teaching begins at the beginning of September. All courses and examinations are conducted in English.
Career Opportunities & Employment Prospects
With a Master's degree in Data Engineering, a wide range of career opportunities open up in numerous industries. Typical fields of work include:
- Data engineer, data analyst or data manager in finance, healthcare, automotive, retail or telecommunications sectors
- Data architect or specialist in big data infrastructures and cloud solutions
- Business consultant, especially for data-driven process optimisation in companies or along supply chains
- Development and implementation of analysis tools or algorithms in the software sector
- System administration and web development with a focus on data-driven applications
- Activities in research and academia, for example as preparation for a PhD or working in research institutes
The curriculum and practice modules support a direct entry into data-oriented professional fields. According to alumni surveys, 93% of graduates successfully enter the labour market within one year of graduation.
Place of Study
The entire Data Engineering degree takes place at the campus of Constructor University in Bremen. The private university is characterised by its international, English-speaking campus and strong connections to business and research. Students live and learn together on the approximately 32-hectare site in the north of Bremen, which offers a variety of research, residential and recreational amenities.
Costs and Financing
The tuition fees for the Master's degree programme in Data Engineering amount to €10,000 per semester (a total of €40,000 for four semesters). In addition to tuition fees, additional costs for accommodation and catering on campus apply. Constructor University awards merit-based scholarships which are taken into account directly during the application process. In addition, every admitted student receives an individual financing offer. Financing options include scholarships, loans and flexible payment plans.
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