Studyportals

Big Data Analytics

Carlos III University of Madrid

Master
12 months
Duration
Unknown
Tuition fee
Unknown
Apply date
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Start date

About

The Master in Big Data Analytics from Carlos III University of Madrid is oriented towards the (re)training of professionals with responsibilities related to data analytics, and in particular of those involved with the evaluation of very large volumes of data in their companies. 

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Overview

The Master in Big Data Analytics from Carlos III University of Madrid is oriented towards the (re)training of professionals with responsibilities related to data analytics, and in particular of those involved with the evaluation of very large volumes of data in their companies.

Learning outcomes

Particular emphasis will be placed on the use of data storage and processing paradigms such as MapReduce or noSQL and their implementations (Hadoop, Storm, etc.), as well as cloud storing and computing methodologies. The courses will also introduce applications based on analytic languages such as R and Python.

This knowledge will prepare them to handle large data sets and to conduct complex statistical and computational analysis of these data, to obtain results in pattern identification, forecasting, simulation or optimization, relevant for the improvement of the efficiency in the activities of their companies and organizations.

Programme Structure

Courses include:

  • Business Applications of Big data Analytics
  • Web data analytics and usage
  • Information security and risk policies
  • Data Analytics for the Smart Society
  • Advanced network architectures for information storage and retrieval
  • Graph analysis and data visualization applications

Key information

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

Language

English
IELTS or TOEFL needed

Credits

60 ECTS

Delivered

On Campus

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
GRE admission requirements GRE® The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. It contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.
GMAT admission requirements GMAT The Graduate Management Admission Test (GMAT) is a test intended to assess certain analytical, writing, quantitative, verbal, and reading skills in written English for use in admission to a graduate management program, such as an MBA. GMAT contains 4 sections - Analytical Writing Assessment, Integrated Reasoning, Quantitative and Verbal. The score has a range from 200 - 800.

English requirements

IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
5.5 (required)
TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at desiganated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
72 (required)
PTE Academic admission requirements PTE Academic PTE Academic (Pearson Test of English Academic) is a language test that enables students to demonstrate their writing, listening, speaking, and reading skills when applying to study in English. The score refers to a total score which ranges between 10 and 90.

Other requirements

General requirements

The candidates should have a bachelor’s degree in any of the following areas:

  • Computer Science
  • Telecommunications Engineering
  • Statistics
  • Mathematics
  • Physics
  • Industrial Engineering

Tuition Fee

Funding

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.

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Big Data Analytics
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Carlos III University of Madrid

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