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MS in Big Data Analytic And Information Technology

Overview

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 University Carlos De Madrid has consistently made its place among the top global universities. International students prefer this course at the University Carlos De Madrid due to its high graduate employability rate.

University Carlos De 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 University Carlos De 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 University Carlos De 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 University Carlos De 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 University Carlos De 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


Course Highlights

Official website

link to course page

Pre-requisites

Application Pre-requisites application pre requisite

The Master´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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