Resolution Of 14 April 2015, Of The Universidad Francisco De Vitoria, Which Publishes Curriculum Of Master In Technologies Of Analysis Of Open Sources.

Original Language Title: Resolución de 14 de abril de 2015, de la Universidad Francisco de Vitoria, por la que se publica el plan de estudios de Máster en Tecnologías de Análisis de Fuentes Abiertas.

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Read the untranslated law here:

Obtained the verification of the curriculum by the universities Council, before the positive report of the National Agency for quality assessment and accreditation, and agreed to the official nature of the title by the Council of Ministers of 20 February 2015 (published in the «Official Gazette» of March 18, 2015 by resolution of the General Secretariat of universities from February 25, 2015) This Rectorate resolved to publish the curriculum leading to the degree of Master in technologies for analysis of open sources.

Pozuelo de Alarcón, 14 April 2015.-El Rector, Daniel Sada Castaño.

Master degree in technologies of analysis sources open branch of knowledge engineering and architecture type of subject ECTS obligatory 21 optional 21 Externships 9 work 9 master's Total 60 master consists of two specialties and student must choose one: 1. specializing in analysis technologies. With the following subjects: introduction to Big Data storage.

Programming of Big Data applications.

Analysis of social networks.

Statistical learning and data mining.

Interactive visualization of intelligence reports.

2. economic intelligence specialist. With the following subjects: intelligence and company (II).

Basic techniques of data analysis.

Marketing and media.

Health and pharmacy.

Finance and insurance.

Module subject subject ECTS period character ECTS open sources and intelligence.

Foundations of intelligence.

Intelligence and information. The human factor.

4 SEM 1 OB 6 intelligence and Enterprise (I).

2 SEM 1 OB open source intelligence.

Internet and open source.

3 SEM 1 OB 7 ethical and legal principles.

2 SEM 1 OB information security.

2 SEM 1 OB open source intelligence projects.


3 SEM 1 OB 8 industry and market.

2 SEM 1 OB design and project management.

3 SEM 1 OB specialty analysis technologies.

Big Data.

Introduction to Big Data storage.

3 SEM 1 OPT 6 programming of Big Data applications.

3 SEM 1 OPT process of analysis of intelligence.

Analysis of social networks.

5 SEM 2 OPT 15 statistical learning and data mining.

5. SEM 2 OPT interactive visualisation of intelligence reports.

5 SEM 2 OPT specialty intelligence economic.

Economic intelligence.

Intelligence and company (II).

3 SEM 1 OPT 6 basic techniques of data analysis.

3 SEM 1 OPT application Areas.

Marketing and media.

5 SEM 2 OPT 15 health and pharmacy.

5 SEM 2 OPT finance and insurance.

5 SEM 2 OPT Practicum.

Internships in companies.

Internships in companies.

9 SEM 2 9 external practical master's work.

Master thesis.

9 SEM 2 9 master's work