2 months ago
Masters Program
Data Engineering ,
Department of Data Processing Technology
Overview
MS in Data Engineering
at the prestigious Jacobs University Bremen is an opportunity for students to enhance their
knowledge, skills, and career through innovation and research.
Being a renowned university, Jacobs University Bremen
receives enough funds to ensure the best education facilities
for its students across all programs.
This post-graduate program offered on a full time basis has a
well-designed curriculum that perfectly blends theory and
practical learning. It prepares the students for their professional
life to reach new heights of success.
MS in Data Engineering at
Jacobs is ranked globally by estimated
organisations. Such recognition speaks volumes about the course’s
importance and effectiveness in the present scenario.
The top-notch faculty, modern facilities, and the aura of
creativity and innovation in the Jacobs
campus is a life-changing experience for the students looking forward to kickstarting or upgrading their careers.
Overall, a MS in Data Engineering at
Jacobs University Bremen is an excellent opportunity to grow into a
learned professional and bring new developments in the world.
Program duration
24 Months
Degree type
Data Processing Technology
Course credits
120
Semesters
4
Delivery type
Full time
Delivery medium
On Campus
Tuition fees
Annual tuition fees
$20,000
Full course fees (24 months)
$40,000
Admissions
Application Fee
NA
Deadlines
Application Deadline Fall
Jun 30, 2023
Pre-Requisities
Application pre-requisites
- Online Application
- Transcripts
- English language proficiency test
- Letter of motivation
- CV
- Two letters of recommendation
Students
Average profile of admits
306
104
7
Yocketer profiles
Kenneth Fargose
Data Engineering
Fall 2021
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Gulshan Malik
Data Engineering
Spring 2022
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Sushmitha P
Data Engineering
Fall 2021
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Ayan Gupta
Data Engineering
Spring 2021
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Vatsal Pandey
Data Engineering
Spring 2020
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Course Details
Core subject areas
- The Big Data Challenge
- Data Security &P.
- IT-Law
- Machine Learning
- Data Analytics
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