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About Course

Degree Type

Data Science and Data Analytics

Degree Type

Course Credits

60

Course Credits

Master of Big Data Analytic And Information Technology 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 Charles III University of Madrid has consistently made its place among the top global universities. International students prefer this course at the Charles III University of Madrid due to its high graduate employability rate.

Charles III University of Madrid 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 Charles III University of Madrid, students will be competent to carry out extensive research work in the field.

The interactive curriculum, vast research opportunities and exceptional teaching faculty at Charles III University of Madrid 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 Charles III University of Madrid is a great choice for students who want to analyse the field in great depth.

Why Study Big Data Analytic And Information Technology at Charles III University of Madrid

  • A popular choice for international students with a diverse community
  • Learn from the best faculty members and become their research assistants
  • High-end labs to facilitate research work
  • Excellent placement programs after course completion

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Pre-requisites

Application Pre-requisites application pre requisite

The Master麓s direction will evaluate the application based on the criteria described below, and informing to the student about the admission to the Master, motivated denial of admission or the inclusion in a list of provisional expected:, , Academic record (40%), Professional experience (20%), Quantitative and computer science background of the student (10%), Letters of recommendation submitted by the applicant (10%), Others (10%), English level (previous degree in english)

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Students

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杏吧论坛er profiles

Vanhsiav B Yonehs

Vanhsiav B Yonehs

MS in Big Data Analytic And Information Technology

Fall 2026

Sravan Sri Harsha Yarlagadda

Sravan Sri Harsha Yarlagadda

Shortlisted

MS in Big Data Analytic And Information Technology

Fall 2022

Dhulika Mehta

Dhulika Mehta

Shortlisted

MS in Big Data Analytic And Information Technology

Fall 2023

Kumar Natatajan

Kumar Natatajan

Shortlisted

MS in Big Data Analytic And Information Technology

Summer 2023

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