Master's Degree in Big Data in Madrid in Spain

Compare Masters Programs in Big Data 2017 in Madrid in Spain

Big Data

A masters refers to the completion of a graduate study program that prepares students to further their knowledge of a specific subject or advance their careers. The majority of masters are granted by state or public universities.

A student who does well in advanced mathematics and computer science may choose to study big data. This field deals with large data sets that must be analyzed as a unit instead of as individual points. There are applications for both the public and private sectors.

Spain (Spanish: España) is a diverse country sharing the Iberian Peninsula with Portugal at the western end of the Mediterranean Sea. Spain is considered an exotic country in Europe due to its friendly inhabitants and relaxed lifestyle. The normal duration for University courses in Spain is 4 years, except Medicine and the double degrees, which are 6. Madrid and Barcelona are well known cities around world for its cuisine, vibrant nightlife, and world-famous folklore and festivities.

Madrid City is the capital of Spain. It is a metropolitan area with over 3 million residents. It has an arena called Las Ventas that hosts the annual bullfighting event. The city has many public and private universities.

Request Information Master's Degrees in Big Data in Madrid in Spain 2017

Read More

Master In Process Management (sap)

Grupo IOE
Online Part time September 2017 Spain Barcelona

The name comes from SAP Systems, Applications and Products in Data Processing. This system includes many fully integrated modules. The information is shared, both between modules and between all areas. [+]

Masters in Big Data in Madrid in Spain. The name of SAP comes from: Systems, Applications and Products in Data Processing. This system includes many fully integrated modules. The information is shared, both between modules and between all areas. SAP It establishes and integrates the production system of companies and has a number of modules that constitute a ideal tools to meet the needs of business management around: Finance. Management control. Human Resources. Sales and distribution. logistics Production planning OBJECTIVES: Mastering SAP FI focused on the needs of your company. General working knowledge of the application and the various tools it contains. Specific development of the various business matters that facilitates the use of the application. Programming in ABAP In order to guarantee the quality of this program, Places are limited to 20 students. Remember that your company can provide aid for job training to do so. Consult us without obligation. [-]

Master in Data Science (DSC)

EIT Digital Master School
Campus Full time 2 years September 2017 Spain Madrid

Data abounds: social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us. [+]

Why study Data Science? Data abounds: social media, manufacturing systems, medical devices, logistic services, and countless others generate petabytes of data on a daily basis. With a wealth of data available, we are at a point in history, where we can conduct analyses to detect, discover, and, ultimately, better understand the world around us. What are the carier opportunities for Data Science graduates? Become a professional for a career in a highly innovative area: data science. The profession in Data Science is hailed as the “… Sexiest Job of the 21st Century,” by Harvard Business Review in October 2012. The Data Scientist is a professional who simultaneously possesses breadth and depth in scalable data management, data analysis, and domain area expertise, and who is capable of solving real-world problems. This is an opportune time to pursue training in both a challenging and rewarding new field. Join us and embark on a journey of a lifetime! Why Data Science at EIT Digital? Getting value, meaning and answering big questions, are the ultimate goals of Learning Data Science at EIT Digital. Mazen Aly Data Science Master student Eindhoven University of Technology Study Data Science at EIT Digital, where education is provided by renowned universities and where entrepreneurial data scientists of the future are come to being! Farideh Heidari Data Science Coordinator What is Data Science Master at EIT Digital all about? The newly established Data Science Master’s offers a unique academic programme, whereby students can study data science, innovation, and entrepreneurship at leading European universities. In this programme, students will learn about scalable data collection techniques, data analysis methods, and a suite of tools and technologies that address data capture, processing, storage, transfer, analysis, and visualization, and related concepts (e.g., data access, pricing data, and data privacy). How is the programme structured? The first year will be similar at all three DSc entry point universities: Universidad Politecnica de Madrid (UPM), Eindhoven University of Technology (TU/e), and Universite Nice Sophia Antipolis (UNS) with foundations courses, such as data handling, data analysis, advanced data analysis and data management, visualization, and applications. The second year will enable students to concentrate one of six technical specialisation areas of their own choosing. See: specialisations below. An important part of the programme are the Innovation and Entrepreneurship (I&E) courses. The I&E basics course provides an introduction to business & management. Students participating in the DSc track are offered an internship with an industry partner or research centre of the EIT Digital to work on their thesis project. Directly linked to the master thesis is the I&E minor thesis that specifies the requirements, strategy and business plan for the selected thesis project. Students participating in the DSc track are offered an internship with an industry partner or research centre of the EIT-Digital to work on their thesis project. Directly linked to the master thesis is the I&E minor thesis that specifies the requirements, strategy and business plan for the selected thesis project. Where can I study if I choose Data Science? Entry - 1st year Eindhoven University of Technology (TU/e) Universidad Politecnica de Madrid (UPM) Universite Nice Sophia Antipolis (UNS) Exit - 2nd year, specialisation Internet of Things (IoT) at UPM Multimedia and Web Science for Big Data at UNS Process Mining at High Tech Systems, Healthcare, Visual Analytics or Big software at TU/e Distributed Systems and Data Mining for Really Big Data at KTH Design, Implementation, and Usage of Data Science Instruments at TUB Specific Admission Requirements A B.Sc. degree in electrical engineering/ electronics, computer engineering, computer science or information technology is required. The studies should include at least 60 ECTS courses in computer science, computer architecture, or programming, and mathematics including calculus, algebra and mathematical statistics. [-]

Master Web Analytics And Big Data

Spain Business School
Online Part time 10 months February 2017 Spain Madrid

The digital analyst and scientific data are two of the most demanded today and the next few years profiles. This master is aimed at both management level profiles, as middle managers, technical profiles, independent professionals, businessmen, entrepreneurs, etc. In short, any professional who wants to be a leader in the digital business ... [+]

Masters in Big Data in Madrid in Spain. Who should attend: The digital analyst and scientific data are two of the most demanded today and the next few years profiles. This master is aimed at both management level profiles, as middle managers, technical profiles, independent professionals, businessmen, entrepreneurs, etc. In short, any professional who wants to be a leader in the digital business. Objectives: Know, understand and apply the fundamentals of any company, but from the perspective of the new market, digital. Learn to interpret the behaviors that users are on the network and especially on our site in order to adapt your products, services and business to what users are demanding. Mastering the most important tools like Google Analytics. Also, make contact with the reality of Big Data is an unstoppable reality that affects both businesses and individuals. Being able to build your own project and get funding for it. In addition, a number of global targets to all programs consisting of: efficiently lead teams, learn to make strategic decisions, develop a global and inclusive vision, master change management and capture management skills. agenda: Module 1: Fundamentals Session 1: technological and legal environment. Session 2: Introduction to laanalítica. Session 3: Objectives and strategy of a website. Module 2: Analyst Session 1: Google Analytics I. Session 2: Google Analytics II. Session 3: Analytics Adobe / Omniture. Session 4: Comscore. Session 5: Excel for analysts. Module 3: Statistical and analytical method Session 1: Social Media Analytics. Session 2: Analytical in e-commerce. Session 3: Qualitative analysis. Session 4: Quantitative analysis. Module 4: Big Data Session 1: Big Data environment. Session 2: Architecture Big Data. Session 3: Analysis of information and knowledge. Session 4: Fundamentals R language and SQL. Module 5: Digital Management Skills Session 1: Public Speaking. Session 2: Emotional Intelligence. Session 3: Communication for leadership. Session 4: Effective presentations. MASTER THESIS PROJECT. Always accompanied by your expert, your project tutor and the head teacher. Additional Information: Those students who wish have the possibility of internships in major companies. This training can be funded by the Tripartite Foundation Reviews of students: Francisco Oviedo • What is the best course? Time flexibility when organizing the study, the implementation of practices to learn the knowledge and the ability to combine it with other activities. Teacher training, with great experience, proximity and speed in resolving doubts. • What can be improved? Some classes over face / webinars doing practical exercises. • Would you recommend the Master or Expert you're doing? Yes I recommend, for the contents, by professionals and flexibility (which is very important). Inma Bonilla • What is the best course? Professional Output • What can be improved? Communication with some teachers more agile • Would you recommend the Master or Expert you're doing? Although I just started, yes. Desiree Lopez • What is the best course? The content of the master and follow-up by the teachers • What can be improved? Creating notifications when a partner shares something in the forums • Would you recommend the Master or Expert you're doing? I think it is highly recommended, although have little time. David Bello • "My name is David and I would recommend the Master in Web Analytics and Big Data Business School of Spain. The master is very complete and has both specific and public speaking courses and leadership courses, which are absolutely necessary for any professional today. Also, I really like the methodology of case study because it allows deeper knowledge of a dynamic and entertaining way. But undoubtedly the most interesting part is the live classes you can see the screen of your teacher as he works with the analytical tool, because it is the best way to learn how to use it. Also, you can see her again after the virtual campus if you have any questions. Last but not least, I would highlight the close relationship of all school staff that will guide you throughout the learning process. Do not think twice, join Spain Business School! " Salido Ernesto Galan "The MAWBD, combining two fields of huge professional projection as Web Analytics and Big Data, presented in a unique training range, enabling you to solve, through the successful formation obtained after the same, various solutions Business Intelligence any possible professional challenge which you must meet. Of the many highlights of the Master, would highlight its innovative character, with a generation of academics and professionals in the sector, which will facilitate direct and immediate access to pointers work environments, balancing training both theoretical and practical, all linked a generalized own demand quality and brand teaches the school. Teacher quality, connected through management positions in digital training environments, helps you to cope from day to possible real situations in your professional field. " [-]

MA In Big Data And Data Science In Finance

Afi Escuela de Finanzas
Campus Full time 10 months September 2017 Spain Madrid

Processing all this information available will be key for financial institutions and Spanish and global insurers to compete with each other and with new entrants in the financial business (Google, Amazon, Apple). In addition, the use of Big Data can help financial institutions to create new products or services in and out of your business. [+]

Why a Master in Data Science and Big Data in Finance? The information available in the world grows exponentially. More than 90% of the currently existing data has been created in the last two years. Processing all this information available will be key for financial institutions and Spanish and global insurers to compete with each other and with new entrants in the financial business (Google, Amazon, Apple). In addition, the use of Big Data can help financial institutions to create new products or services in and out of your business. 62% of financial companies believe that Big Data has a very important role in creating competitive advantage potential. Leading analysts (McKinsey, Gartner) provide a huge demand for data scientist profiles in the coming years. The financial sector and financial areas of all large companies will be very demanding of profiles that combine knowledge of data analysis techniques with financial knowledge. Very few international institutions offer a program with a mix of knowledge in science data, big data and finance as offered by Afi. In Spain, no. Companies are looking for specialized professionals who are able to apply analytical techniques to specific business problems, to offer innovative solutions that create value and determine the business strategy for the coming years, helping to address decision making by translating the data into useful information . Data Science is the basis of everything. Try to use the power of Big Data without techniques Data Science is like trying to take advantage of the power of the Internet without a search engine. Other Master in Data Science and Big Data: Master in Data Science and Big Data MDS Executive Master in Data Science and Big Data Medsf Executive Master in Data Science and Big Data Medsf [-]

MA In Data Science And Big Data

Afi Escuela de Finanzas
Campus Full time 10 months September 2017 Spain Madrid

Data Science is the basis of everything. Try to use the power of Big Data without techniques Data Science is like trying to harness the power of Internet search engine [+]

Masters in Big Data in Madrid in Spain. Why a Master in Data Science and Big Data? The information available in the world grows exponentially. More than 90% of the currently existing data has been created in the last two years. The business datificación reduces transaction costs and causes the appearance of new competitors initially outside the sector. Processing all this information available will be key to the Spanish and global companies to compete with each other and with new entrants. In addition, the use of Big Data can help companies create new products or services in and out of your business 72% of large companies believe that Big Data has a very important potential in creating competitive advantages Main analysts (McKinsey, Gartner) provide a huge demand for data scientist profiles in the coming years. In recent years, large companies have been demanding profiles that combine knowledge of data analysis techniques with business knowledge. Today this process is deepening coming to generate a bottleneck to the shortage of such professionals. Very few international institutions offer a program with a mix of knowledge in data science and big data as offered by Afi. In Spain, no. Companies are looking for specialized professionals who are able to apply analytical techniques to specific business problems, to offer innovative solutions that create value and determine the business strategy for the coming years, helping to address decision making by translating the data into useful information Data Science is the basis of everything. Try to use the power of Big Data without techniques Data Science is like trying to harness the power of Internet search engine Other Master in Data Science and Big Data: Master in Data Science and Big Data in Finance MDSF (Full time) Executive Master in Data Science and Big Data MEDS Executive Master in Data Science and Big Data in Finance Medsf [-]

Master's Degree In Business Intelligence And Big Data In Madrid

Madrid School of Marketing
Campus Full time 400 hours September 2017 Spain Madrid

The Master in Business Intelligent and Big Data of MSMK - Madrid School of Marketing allows you to acquire the knowledge and skills necessary to identify, analyze, control and manage effective and agile information from the company, the market and customers, with the support of advanced technology and tools like SAS , Qlick View, Microtrategy BI, SAP Business Objects and Reports, in an environment of mobility and Cloud. [+]

PRESENTATION The Master in Business Intelligent and Big Data of MSMK - Madrid School of Marketing allows you to acquire the knowledge and skills necessary to identify, analyze, control and manage effective and agile information from the company, the market and customers, with the support of advanced technology and tools like SAS , Qlick View, Microtrategy BI, SAP Business Objects and Reports, in an environment of mobility and Cloud. Once the Master will have acquired and developed your skills and abilities in making decisions about modeling, in order to obtain useful information and marketing company, allowing you to make decisions and manage. During the program students will work to develop the role of Business Intelligence, management and data management: data warehouse and big data, analysis and strategic planning, strategic marketing and marketing intelligence, digital marketing, social media and mobility linked to information systems, advanced customer management (customer value), the management planning cycles, the management of CRM and Business Intelligence tools, balanced scorecard, reporting and project management and technical teams Working in Business Intelligence / Big Data. Madrid School of Marketing in addition to pursue highly specialized in Big Data and Analytics program will take you to get the "Certification of SAS Enterprise Miner" and a bag of Practice specializing in the sector. PROGRAM STRUCTURE 01.FUNDAMENTOS BUSINESS INTELLIGENCE AND DATA MANAGEMENT Main concepts of Business Intelligence (data quality, ETL, DWH). The data warehouse and data processing - Big Data. Relational model - transactional model. Data models: model "star" model in "snowflake". Differences between a data warehouse and OLTP system. A data warehouse architectures. Differences between a data warehouse and data mart. Design Diagram Entity - Relationship. Creating tables Dimensions - Acts. Data transformation. Data loading from flat files. Design, Development and Implementation of consultations on models. Data loading from flat files. Design, Development and Implementation of consultations on models. 02.BIG DATA INSIGHT Introduction to Big Data. The new era of information. The V's of Big Data. Manage the Lifecycle. The architecture. Hadoop. Tools. Working with R. Geolocation. Semantic analysis. Making and selling a Big Data project. Major projects. Trends and future needs. 03.MOVILIDAD IN BUSINESS INTELLIGENCE Analytics platforms, technological trends and management platforms. Enterprise Mobility. Mobility in Business Intelligence. Mobility in the business process. Mobility management in Sales Force and Marketing. BUSINESS ANALYTICS ANALYTICS 04.BUSINESS Statistics as a facilitator for decision-making. Facilitate understanding of statistical concepts, applied to the company, and the acquisition of useful skills for working with data. Acquaint students with inductive reasoning, using as the sole source of information, provided by the sample data. Development of role models and show their practical application in campaign management. 05.DESARROLLO STRATEGIC BUSINESS The impact of Business Intelligence in strategic marketing: definition of strategic plans. Planning and definition of campaigns. Consumer behavior in digital media. Formats, strategies, details and tools for digital marketing actions. Digital marketing actions (planning campaigns). Measurement results. Social networks as a source of information for the general information system and CRM. Social Media Monitoring. Trends and future scenarios. Cases of strategic analysis. Development of a Strategic Plan of Social Media Marketing. 06.CUSTOMER ANALYTICS Learn to generate and use knowledge to facilitate decision-making and the definition of the best strategy to carry out (customer acquisition, customer loyalty, customer retention). Deepen the impact of customer value management strategies. Using customer information in real cases for different management strategies. Conducting case studies of customer acquisition, customer loyalty, customer retention. Customer Value Calculation leaning fraud detection, other. Customer segmentation. Real case studies application of customer analytics for business development (Insurance Sector, Automotive Sector, Retail Sector, Financial Sector). 07.CORPORATE PERFORMANCE MANAGEMENT Know the development of the planning and budgeting cycles of businesses. Deepening the importance of management indicators (Balanced Scorecard, Dashboards, Reports) and become familiar with the use of CPM tools. Acquisition of basic concepts of financial planning for the use of business simulation environments. Development Strategy Maps. Scorecard (according to Kaplan and Norton methodology) - Balanced Score Card. Development Indicators (Reporting). Case Study: Analysis and processing of information with business simulation tools. [-]

Executive Master In Big Data And Analytics In Madrid

Madrid School of Marketing
Campus Full time 400 hours February 2017 Spain Madrid

The Executive Master in Big Data and Analytics of MSMK - Madrid School of Marketing allows you to acquire the knowledge and skills necessary to identify, analyze, control and manage effective and agile information from the company, the market and customers, with the support of advanced technology and tools like SAS , Qlick View, Microtrategy BI, SAP Business Objects and Reports, in an environment of mobility and Cloud. [+]

Masters in Big Data in Madrid in Spain. PRESENTATION The Executive Master in Big Data and Analytics of MSMK - Madrid School of Marketing allows you to acquire the knowledge and skills necessary to identify, analyze, control and manage effective and agile information from the company, the market and customers, with the support of advanced technology and tools like SAS , Qlick View, Microtrategy BI, SAP Business Objects and Reports, in an environment of mobility and Cloud. Once the Master finished you will have potentiated your skills and abilities in making decisions about modeling, in order to obtain useful information and marketing company, which allows you to manage decision making and aggregation same business strategy and business in general. During the program students will work to develop the role of Business Intelligence, management and data management: data warehouse and big data, analysis and strategic planning, strategic marketing and marketing intelligence, digital marketing, social media and mobility linked to information systems, advanced customer management (customer value), the management planning cycles, the management of CRM and Business Intelligence tools, balanced scorecard, reporting and project management and technical teams Working in Business Intelligence / Big Data. Madrid School of Marketing in addition to pursue highly specialized in Big Data and Analytics program will take you to get the "Certification of SAS Enterprise Miner" and a Lifetime Employment Exchange specializing in the sector. PROGRAM STRUCTURE 01.FUNDAMENTOS BUSINESS INTELLIGENCE AND DATA MANAGEMENT Main concepts of Business Intelligence (data quality, ETL, DWH). The data warehouse and data processing - Big Data. Relational model - transactional model. Data models: model "star" model in "snowflake". Differences between a data warehouse and OLTP system. A data warehouse architectures. Differences between a data warehouse and data mart. Design Diagram Entity - Relationship. Creating tables Dimensions - Acts. Data transformation. Data loading from flat files. Design, Development and Implementation of consultations on models. Data loading from flat files. Design, Development and Implementation of consultations on models. 02.PROCESOS ETL: THE DATA TO INFORMATION Resource identification. Extraction Process Development. Data Quality: cleaning and data enrichment. Charging and maintenance: Initial Refreshment and Incremental. Technological environments / Main tools. 03.BIG DATA INSIGHT Introduction to Big Data. The new era of information. The V's of Big Data. Manage the Lifecycle. The architecture. Hadoop. Tools. Working with R. Geolocation. Semantic analysis. Making and selling a Big Data project. Major projects. Trends and future needs. 04.MOVILIDAD IN BUSINESS INTELLIGENCE Analytics platforms, technological trends and management platforms. Enterprise Mobility. Mobility in Business Intelligence. Mobility in the business process. Mobility management in Sales Force and Marketing. BUSINESS ANALYTICS ANALYTICS 05.BUSINESS Statistics as a facilitator for decision-making. Facilitate understanding of statistical concepts, applied to the company, and the acquisition of useful skills for working with data. Acquaint students with inductive reasoning, using as the sole source of information, provided by the sample data. Development of role models and show their practical application in campaign management. 06.DESARROLLO STRATEGIC BUSINESS The impact of Business Intelligence in strategic marketing: definition of strategic plans. Planning and definition of campaigns. Consumer behavior in digital media. Formats, strategies, details and tools for digital marketing actions. Digital marketing actions (planning campaigns). Measurement results. Social networks as a source of information for the general information system and CRM. Social Media Monitoring. Trends and future scenarios. Cases of strategic analysis. Development of a Strategic Plan of Social Media Marketing. 07.CUSTOMER ANALYTICS Learn to generate and use knowledge to facilitate decision-making and the definition of the best strategy to carry out (customer acquisition, customer loyalty, customer retention). Deepen the impact of customer value management strategies. Using customer information in real cases for different management strategies. Conducting case studies of customer acquisition, customer loyalty, customer retention. Customer Value Calculation leaning fraud detection, other. Customer segmentation. Real case studies application of customer analytics for business development (Insurance Sector, Automotive Sector, Retail Sector, Financial Sector). 08.CORPORATE PERFORMANCE MANAGEMENT Know the development of the planning and budgeting cycles of businesses. Deepening the importance of management indicators (Balanced Scorecard, Dashboards, Reports) and become familiar with the use of CPM tools. Acquisition of basic concepts of financial planning for the use of business simulation environments. Development Strategy Maps. Scorecard (according to Kaplan and Norton methodology) - Balanced Score Card. Development Indicators (Reporting). Case Study: Analysis and processing of information with business simulation tools. [-]

Intensive Master In Big Data And Business Intelligence In Madrid

Madrid School of Marketing
Campus Full time 300 hours September 2017 Spain Madrid

Intensive Master in Big Data and Business Intelligence of MSMK - Madrid School of Marketing allows you to acquire the knowledge and skills necessary to identify, analyze, control and manage effective and agile information from the company, the market and customers, with the support of advanced technology and tools like SAS , Qlick View, Microtrategy BI, SAP Business Objects and Reports, in an environment of mobility and Cloud. [+]

PRESENTATION Intensive Master in Big Data and Business Intelligence of MSMK - Madrid School of Marketing allows you to acquire the knowledge and skills necessary to identify, analyze, control and manage effective and agile information from the company, the market and customers, with the support of advanced technology and tools like SAS , Qlick View, Microtrategy BI, SAP Business Objects and Reports, in an environment of mobility and Cloud. Once the Master finished you will have potentiated your skills and abilities in making decisions about modeling, in order to obtain useful information and marketing company, which allows you to manage decision making and aggregation same business strategy and business in general. During the program students will work to develop the role of Business Intelligence, management and data management: data warehouse and big data, analysis and strategic planning, strategic marketing and marketing intelligence, digital marketing, social media and mobility linked to information systems, advanced customer management (customer value), the management planning cycles, the management of CRM and Business Intelligence tools, balanced scorecard, reporting and project management and technical teams Working in Business Intelligence / Big Data. Madrid School of Marketing in addition to pursue highly specialized in Big Data and Analytics program will take you to get the "Certification of SAS Enterprise Miner" and a Lifetime Employment Exchange specializing in the sector. PROGRAM STRUCTURE 01.FUNDAMENTOS BUSINESS INTELLIGENCE AND DATA MANAGEMENT Main concepts of Business Intelligence (data quality, ETL, DWH). The data warehouse and data processing - Big Data. Relational model - transactional model. Data models: model "star" model in "snowflake". Differences between a data warehouse and OLTP system. A data warehouse architectures. Differences between a data warehouse and data mart. Design Diagram Entity - Relationship. Creating tables Dimensions - Acts. Data transformation. Data loading from flat files. Design, Development and Implementation of consultations on models. Data loading from flat files. Design, Development and Implementation of consultations on models. 02.PROCESOS ETL: THE DATA TO INFORMATION Resource identification. Extraction Process Development. Data Quality: cleaning and data enrichment. Charging and maintenance: Initial Refreshment and Incremental. Technological environments / Main tools. 03.BIG DATA INSIGHT Introduction to Big Data. The new era of information. The V's of Big Data. Manage the Lifecycle. The architecture. Hadoop. Tools. Working with R. Geolocation. Semantic analysis. Making and selling a Big Data project. Major projects. Trends and future needs. 04.MOVILIDAD IN BUSINESS INTELLIGENCE Analytics platforms, technological trends and management platforms. Enterprise Mobility. Mobility in Business Intelligence. Mobility in the business process. Mobility management in Sales Force and Marketing. BUSINESS ANALYTICS ANALYTICS 05.BUSINESS Statistics as a facilitator for decision-making. Facilitate understanding of statistical concepts, applied to the company, and the acquisition of useful skills for working with data. Acquaint students with inductive reasoning, using as the sole source of information, provided by the sample data. Development of role models and show their practical application in campaign management. 06.DESARROLLO STRATEGIC BUSINESS The impact of Business Intelligence in strategic marketing: definition of strategic plans. Planning and definition of campaigns. Consumer behavior in digital media. Formats, strategies, details and tools for digital marketing actions. Digital marketing actions (planning campaigns). Measurement results. Social networks as a source of information for the general information system and CRM. Social Media Monitoring. Trends and future scenarios. Cases of strategic analysis. Development of a Strategic Plan of Social Media Marketing. 07.CUSTOMER ANALYTICS Learn to generate and use knowledge to facilitate decision-making and the definition of the best strategy to carry out (customer acquisition, customer loyalty, customer retention). Deepen the impact of customer value management strategies. Using customer information in real cases for different management strategies. Conducting case studies of customer acquisition, customer loyalty, customer retention. Customer Value Calculation leaning fraud detection, other. Customer segmentation. Real case studies application of customer analytics for business development (Insurance Sector, Automotive Sector, Retail Sector, Financial Sector). 08.CORPORATE PERFORMANCE MANAGEMENT Know the development of the planning and budgeting cycles of businesses. Deepening the importance of management indicators (Balanced Scorecard, Dashboards, Reports) and become familiar with the use of CPM tools. Acquisition of basic concepts of financial planning for the use of business simulation environments. Development Strategy Maps. Scorecard (according to Kaplan and Norton methodology) - Balanced Score Card. Development Indicators (Reporting). Case Study: Analysis and processing of information with business simulation tools. [-]

Master In Business Analytics And Big Data

CIFF Centro Internacional de Formación Financiera
Campus Part time 8 months November 2017 Spain Madrid

The Master in Business Analytics and Big Data is the answer to the need for a new professional who is able to extract useful knowledge from data in the context of proliferation of production data in organizations and on the Internet in general [+]

Masters in Big Data in Madrid in Spain. The Master in Business Analytics and Big Data is the answer to the need for a new professional who is able to extract useful knowledge from data in the context of proliferation of production data in organizations and on the Internet generally. This program seeks to address the needs of data analysis in business. These new professionals sometimes called "data scientists" are called to play an essential role in the new competitive context that dominates decision-making based on the analysis of large volumes of data. Must be able to identify, collect, process, analyze, process and interpret the data in the context of specific business objectives. The program develops skills and integrative skills and areas of knowledge of business problems with quantitative and predictive techniques for making reliable and robust models. It also develops the skills and knowledge necessary to understand and manage the technology related to parallelism and associated mining processes to big data and data management and processing in cloud services. The program is aimed at graduates and young professionals looking to specialize in the area of ​​study or prepare for project management and big data analytics. The design of the program features: - A teaching faculty consists of practicing professionals and researchers in the area with specialists in different areas. - A comprehensive program covering the needs of information professionals from the business case to the parallelization of data processing. - A teaching method that combines contextualized practices in business problems and the case method. [-]