University of Münster, North Rhine-Westphilia
Faculty of Geosciences
University of Münster, North Rhine-Westphilia
Faculty of Geosciences
24
Program Duration
Data Science and Data Analytics
Degree Type
120
Course Credits
Master of Geoinformatics and Spatial Data Science is one of the best courses to choose from that offers
in-depth learning in a Data Science and Data Analytics. An MS Degree in Data Science and Data Analytics from the
University of Münster has consistently made its place among the top global universities.
International students prefer this course at the University of Münster due to its high graduate
employability rate.
University of Münster offers exceptional education quality, high-end practical learning
and ample work opportunities to its international students. After receiving their MS
Degree in Data Science and Data Analytics from the University of Münster, students will be competent to
carry out extensive research work in the field.
The interactive curriculum, vast research opportunities and exceptional teaching
faculty at University of Münster offer students a life-altering learning experience. A
Master of Science Degree helps students become creative and independent researchers. Overall, an MS Degree in Data Science and Data Analytics from the University of Münster is
a great choice for students who want to analyse the field in great depth.
Why Study Geoinformatics and Spatial Data Science at University of Münster
Official fee page
Annual tuition fees
€634 / year
Total tuition fees
€1,268 / 24 months
5000+ Students
Availed education loan
3000+ Cr
Loan amount sanctioned
100% Free
Assistance for loan process
Test Score Requirements
Minimum english score required
IELTS
6.5
TOEFL
Required
Application Pre-requisites
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Yocketer profiles
Yash Walia
ShortlistedMSc in Geoinformatics and Spatial Data Science
Fall 2024
Deepak Yadav
ShortlistedMSc in Geoinformatics and Spatial Data Science
Fall 2026
Sai Lord
ShortlistedMSc in Geoinformatics and Spatial Data Science
Winter 2025
George Umanah
ShortlistedMSc in Geoinformatics and Spatial Data Science
Spring 2025
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