24 months
Duration
20000 EUR/year
20000 EUR/year
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

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

Visit the official programme website for more information

Overview

The Data Engineering program from Jacobs University Bremen 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.

Career

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;

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

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Credits

120 ECTS

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

Other requirements

General requirements

  • Letter Of Motivation
  • Curriculum Vitae Cv
  • Two Letters Of Recommendation 
  • Bachelor Transcript In English Or German
  • Bachelor Degree Certificate In English Or German
  • English Language Proficiency Test

Tuition Fee

To alway see correct tuition fees
  • International

    20000 EUR/year
    Tuition Fee
    Based on the tuition of 20000 EUR per year during 24 months.
  • EU/EEA

    20000 EUR/year
    Tuition Fee
    Based on the tuition of 20000 EUR per year during 24 months.

Living costs for Bremen

738 - 1106 EUR /month
Living costs

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 Jacobs 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 Jacobs’ education will form the perfect foundation for your future career – that is why we are happy to invest in you.

Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Our partners

Data Engineering
-
Jacobs University Bremen

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