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Currently Big Data is one of the computing specialties with greater employability due to its importance in relation to new technological trends such as the Internet of Things or Artificial Intelligence, in fact, all of our students are found working before the first year of graduates.
The Master's Degree in Analysis of Large Amounts of Data - Big data Analytics - MBI by the Universidad Europea of Madrid, in addition to granting you an official degree that enables you to access the doctoral thesis, trains you as an Expert in Big Data (Data Architect, Data Engineer, Data Scientist, Chief Data Officer) and as an Expert in Project Management with the ability to plan, dimension and manage projects and innovative and entrepreneurial technological solutions.
All this through a staff of professionals from sectors such as banking, health, telecommunications, consulting and smart cities, among others.
(*) You will receive a Master's degree in Big Data Analysis - MBI / Big Data Analytics · MBI.That makes us different?Challenge-Based Learning You will learn through real cases of top-level multinationals, using Hadoop, HDFS, NoSQL or Yarn tools and the development of data mining and machine learning solutions using the most current tools and technologies on the market. Thanks to simulations or role plays, you will prepare yourself to be a global professional. Employability You will have the opportunity to have access to a job exchange and professional internships appropriate to your profile. Tech Experience You will be able to meet first-hand and network with professionals from renowned companies who will present you with real cases. In addition, you will have masterclasses taught by professionals who are in contact with this technology in their day to day. Research Itinerary If you opt for the research itinerary, as it is an official master's degree, you will be able to advance in your doctoral thesis and validate credits for the doctorate. Work While You Study Weekend hours that make it possible to make work activity compatible with attending classes.Addressed toThis master's degree is specially designed for scientists, technologists, engineers, statisticians and mathematicians with experience in the field of ICT who wish to redirect their professional career to this field with the challenge of creating value from the integration and analysis of data from different business functions or external media.PracticesIf you opt for the professional itinerary, you will be able to do internships in prestigious companies, such as Accenture, Deloitte, Everis, Indra Sistemas, Luís Simões, Telefónica or VicomTech.
The assignment of internships follows a selection process, applying to the scholarship offers received, using an appropriate CV, conducting interviews, etc. You can consult more in the "Regulations for external academic practices".MethodologyYou will learn in a practical way to deploy Big Data solutions using technologies such as Hadoop, HDFS, NoSQL, Yarn, Kafka, Hive or Pig, and the development of data mining and machine learning solutions using the most current tools and technologies on the market.
If you opt for the professional itinerary, you will be able to carry out internships in prestigious companies, such as Accenture, Deloitte, Everis, Indra Sistemas, Luís Simões, Telefónica or VimcomTech.
If, on the other hand, you opt for the research itinerary, as it is an official master's degree, you will be able to advance your doctoral thesis and validate credits for the doctorate.
Weekend schedule that allows combining work activity with attending classes.
The students of the Master in Big Data Analytics will benefit from the collaboration agreements between the Universidad Europea and prestigious companies with which the students will be able to develop their Final Master's projects in real projects proposed by the same companies and have the help and advice of sector specialists.Cajamar Data Lab. Master's students present their work in the largest university data analysis competition in Spain.
Vicomtech Center for applied research specialized in Advanced Interaction, Computer Vision, Data Analytics, Computer Graphics and Language Technologies technologies.
Telephone. The Universidad Europea has an agreement whereby students will be able to work with Telefónica data and participate in the Open Future challenges with their master's thesis.
Luis Simões. International logistics operator in which students can do internships or develop their Master's Final Project.
Everis. Multinational consulting company that works on projects in various sectors, including the development of Big Data solutions.Curriculum Module 1. Business strategy 6 ECTS Module 2. Infrastructure and data management systems 12 ECTS Module 3. Business creation and business development 6 ECTS Module 4. Analysis and machine learning 12 ECTS Understand, create, communicate and offer value.
Market opportunities and value proposition.
Development of value and brand.
Relational and next-generation databases.
Distributed systems, parallelization and Big Data infrastructures.
Design of computer centers and high performance systems.
Cloud computing and network service systems. Legal aspects, privacy and data protection in Big Data systems and applications.
Define and write an entrepreneurial business plan for the development and commercialization of an innovative product:
Utility of the business plan.
Structure and contents of a business plan.
Financing structure and investors.
Preparation of a business plan.
Introduction to knowledge discovery processes through data analysis.
Data mining and information gathering.
Analysis of multimedia content.
Models for pattern extraction, classification and prediction in large volumes of data.
Machine learning in high-performance infrastructures. Module 5. Data visualization 6 ECTS Module 6-A ** Itinerary Research Methodology. Professional practice 9 ECTS Module 6-B **. Extension of the itinerary Research methodology. Professional practices 3 ECTS Module 7. Master's Final Project 6 ECTS Applications and decision systems based on the exploitation of large amounts of data.
Visualization techniques and tools.
Visualization techniques based on the interpretation and extraction of analytical models.
Visual analytics and decision-making processes.
Market tools and solutions.
Integrating projects of information gathering systems in heterogeneous and global scenarios.
Itinerary 1: Research Methodology (9ECTS) Research Methods. Introduction and good practices in writing research papers. Development of a research report on a practical case.
Itinerary 2: Professional Practice (9 ECTS). Carrying out activities related to the contents of the master in a collaborating company in the sector. Report on the Professional Practices carried out in the company.
Itinerary 1: Practicum (3 ECTS). Expansion of research methodologies where a preliminary doctoral thesis will be prepared. Itinerary 2: Professional Practice (3 ECTS). Expansion of professional practices in companies.
Development of a case for the treatment of large volumes of data that encompasses all aspects of an information discovery process.
* Some of the subjects in the study plan may undergo modifications. ** The student must choose and enroll, before the start of the master, in one of the two alternative itineraries.Collaborating CompaniesThe students of the Master in Big Data Analytics will benefit from the collaboration agreements between the Universidad Europea and prestigious companies with which the students will be able to develop their Final Master's projects in real projects proposed by the same companies and have the help and advice from specialists in the sector.
Cajamar Data Lab
Master's students present their work in the largest university data analysis competition in Spain.
Applied research center specialized in Advanced Interaction, Computer Vision, Data Analytics, Computer Graphics and Language Technologies technologies.
The Universidad Europea has an agreement whereby students will be able to work with data from Telefónica and participate in the Open Future challenges with their final master's projects.
International logistics operator in which students can do internships or develop their Master's Final Project.
Multinational consulting company that works on projects in various sectors, including the development of Big Data solutions.Admission processThe admission process for the programs of the Universidad Europea Postgraduate School is open throughout the year, although enrollment in any of the programs is subject to the existence of vacancies.
If you want personalized advice from the Postgraduate admissions team, you can go to any of our campuses located in Alcobendas or Villaviciosa de Odón (Madrid), or contact us through:
Telephone (+34) 91 740 72 72 or by e-mail email@example.com
After informing you, you must provide the required documentation:Admission request
Copy of DNI or NIE
Copy of university degree
CVThe admissions team will guide you in your professional future and will arrange an interview with the director of your degree to evaluate your candidacy.Testimonial"This master prepares professionals who can manage the entire life cycle of a Big Data project: from infrastructure to data analysis, but also taking into account the value that the project brings to the business."
Enrique Puertas Director of the Master in Big Data Analytics of the Universidad Europea
"Completing this master's degree has allowed me to acquire both technical and functional knowledge of the Big Data discipline as well as everything I need to set up my own startup."
Manuel Bazaga Former master student and Big Data Analyst at Madiva Soluciones