Part time Master's Degree in IT in Madrid in Spain

View all Part time Masters Programs in IT in Madrid Spain 2017

IT

A Masters degree is an academic degree awarded to individuals who successfully denote a higher level of expertise. There are two main types of Masters - taught and research.

In information technology programs, students may be able to explore different types of technology applications and the way in which information is created, exchanged and stored. Students may learn how to write code and can explore areas such as information security, software applications, system design and databases.

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.

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Master In Process Management (sap)

Grupo IOE
Online Part time September 2017 Spain Valencia

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. [+]

Part time Masters in IT 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 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 ... [+]

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. " [-]

Master in Security and Privacy (S&P)

EIT Digital Master School
Campus 2 years September 2017 Spain Madrid

The programme in Security and Privacy focusses on the study of the design, development and evaluation of secure computer systems, which are also capable of ensuring privacy for future ICT systems. It follows a constructive security approach to teach the very complex and challenging field of information assurance. [+]

Part time Masters in IT in Madrid in Spain. Why study the EIT Digital Security & Privacy programme? The EIT Digital Security & Privacy programme offers: Front line technical content within the field. Studies at two of Europe´s foremost technical universities leading to a double degree. A good integration with tailored Business courses in Innovation and Entrepreneurship. A thesis work well grounded in industrial problems. Access to the competence of eight EIT Digital innovation action lines, not least through a summer school between the two years. Access to the co-location centers and innovation ecosystems of the nine EIT Digital nodes. What is the programme all about? The programme in Security and Privacy focusses on the study of the design, development and evaluation of secure computer systems, which are also capable of ensuring privacy for future ICT systems. It follows a constructive security approach to teach the very complex and challenging field of information assurance. The aim is to provide students with an understanding of the concepts and technologies for achieving confidentiality, integrity, authenticity, and privacy protection for information processed across networks. What are the career opportunities for graduates from the programme? Graduates from the Security & Privacy master’s programme will qualify for jobs in international and local organizations in both technical and business roles. Typical titles are: (Cyber) Security consultant; Security Analyst; (Information) Security Architect; Operation Manager; Product Manager. Through their multidisciplinary attitude graduates are valuable in open innovation settings where different aspects (market, users, social aspects, media technologies) come together. They will easily find jobs within companies that provide value-added products and services, such as telecom companies, game companies, e-learning, web developers, and entertainment. An alternative path would be to start your own company to provide product or technology development, media content, business development or consultancy services. How is the programme structured? The programme is a double degree programme with studies at a university in one country in the first year (entry) and studies at a university in another country the second year (exit). The programme has an integrated technical content (Technical major) and business content (Innovation & Entrepreneurship – I&E minor). The I&E minor is shared between all programmes (link). An integral part of the second year is a Master’s thesis (30 ECTS). The structure and content of the technical major is given below. Where can I study if I choose Security and Privacy? Entry - 1st year UNITN in Trento, Italy UT, Twente, The Netherlands Exit - 2nd year, specialization ELTE Budapest, Hungary Saarland University, Germany TUD, Darmstadt, Germany UNITN in Trento, Italy UT, Twente, The Netherlands Specific Admission Requirements A B.Sc. degree in computer science, electrical engineering, computer engineering or information systems sciences with solid skills in mathematics, electrical engineering, software design and programming is required. The average grade must be at least 75% of the scale maximum. [-]

Master in Internet Technology and Architecture (ITA)

EIT Digital Master School
Campus 2 years September 2017 Spain Madrid

The ITA master is a new European two-year master programme within the EIT Digital Master School “ICT Innovation”. The aim of the EIT (European Institute of Innovation and Technology) is to breed a new generation of technology-skill [+]

The ITA master is a new European two-year master programme within the EIT Digital Master School “ICT Innovation”. The aim of the EIT (European Institute of Innovation and Technology) is to breed a new generation of technology-skilled entrepreneurs by enhancing high-profile technology education with a strong business orientation. For the field of ICT, the EIT has created through the KIC ICT Labs (one of the Knowledge and Innovation Communities), several ICT master programmes to combine ICT engineering on an advanced level with a business minor focused on Innovation and Entrepreneurship (I&E). The goal is to make students that take part in this education the elite group of forthcoming ICT professionals. The unique features of this advanced level education are: A standardized I&E minor Mobility among universities (one year at one university and the second year at another university) Specialisation at one of the European top universities Personal industrial relationships for the students, including industrial mentors and internships at EIT Digital non-university partners as part of the study plan. Thematic area grounding and utilization of resources from EIT Digital research and business activities There are seven ICT programmes (majors), one of them is Internet Technology and Architecture (ITA) offered by a consortium of UPMC (Paris), TUB (Berlin), KTH (Stockholm), UNITN (Trento), UNS (Nice), ITA/TB (Brest) and UPM (Madrid). The first year consists of one semester of core courses on ITA and one semester on Entrepreneurial education. For the second year, students can select a specialisation and complete a thesis project at one of the industrial partners. Internet Technology and Architecture The technical major in Internet Technology and Architecture is a focused programme of study involving advanced networking technologies and architectures for the design and management of modern distributed computer systems and networks. This programme is in line with the challenging field of computing communication and networking technologies that has lately received considerable attention and is today considered as a major topic for most curriculum studies in IT. Programme The aim of the Internet Technology and Architecture programme is to develop a coherent set of theoretical knowledge and professional understandings and skills in computer networks. Emphasis is placed on understanding of current research issues as well as detailed practical experience of network design, development, implementation, and management. The first year will be similar at the four entry points UPMC, TUB, KTH and UNITN with four basic courses on the foundations of networking, network design and modelling, wireless and mobile computing, and advanced next generation networks. In addition, some elective courses may be chosen to prepare for a specialisation. This programme also includes an I&E minor that will provide students with both theoretical concepts and practical tools that will develop critical thinking in assessing entrepreneurship opportunities and devising appropriate strategies to turn ideas into profitable business ventures. The I&E minor consists two courses: The I&E basics course provides an introduction to business and management. The Business Development Lab will extend media systems engineering projects by a market survey, a business model generation process, and a venture development exercise. Students participating in the ITA track will be offered an internship in a partner industry or research centre of the EIT Digital to work on a thesis project. Directly linked to the master thesis, there will be an I&E minor thesis that will specify the requirements, strategy and business plan for the selected thesis project. Specialisations Specialisations will be provided in the second year. The ITA major will offer seven specialisations, each at a different location: User-centric networking at UPMC Internet technologies at TUB Communication systems design at KTH Wireless and mobile access networks at UNITN Networked Analysis and Experimentation at UNS Internet of things at IT/TB Technologies for Internet Mobile and Ubiquitous Computing at UPM To meet the requirements for geographic mobility, the chosen exit point needs to differ from the chosen entry point. Specific Admission Requirements A B.Sc. degree in electrical engineering, electronics, computer science, computer engineering or information technology is required. Sufficient background in basic data communications, telecommunications and internetworking as well as mathematics, including calculus, linear algebra and mathematical statistics is also required. [-]

Master in Embedded Systems (ES)

EIT Digital Master School
Campus 2 years September 2017 Spain Madrid

Embedded systems are everywhere. More than 98% of the world’s processors are located in embedded systems. Applications include a wide variety of industrial and personal systems such as satellites, robots, cars, airplanes, elevators, mobile telephones, washing machines, and health-care equipment just to mention a few. [+]

Part time Masters in IT in Madrid in Spain. Why study Embedded Systems? Embedded systems are everywhere. More than 98% of the world’s processors are located in embedded systems. Applications include a wide variety of industrial and personal systems such as satellites, robots, cars, airplanes, elevators, mobile telephones, washing machines, and health-care equipment just to mention a few. In all these areas, embedded systems confer added value to the products by either extending the range of the delivered functionalities or by enhancing the quality of a “traditional” functionality that is rendered to the user. What are the career opportunities for Embedded Systems graduates? Many European companies are world leading in the field of embedded systems design and have a strong demand for highly skilled, creative engineers, innovators, system architects, and specialists. Europe also needs brand new companies that are able to provide innovative embedded solutions to address societal challenges, to improve the quality of life, and to boost the European economy and leadership. Why Embedded Systems at EIT Digital? "I found my masters course with EIT Digital very involving and fulfilling. It gave me access to two of the top universities in Europe and it's faculties. The business part of the programme helped me to envision my technical learning as real world applications and business opportunities." Shriraam Mohan, 2013 Cohort What is Embedded Systems Master at EIT Digital all about? The Embedded Systems programme focuses on enabling technologies and design methodologies for computing systems which are embedded as integral part of larger systems, designed for specific control functions of devices with various electronic and mechanical components. Graduates of the Embedded Systems programme will be world-class specialists and innovators in the field of embedded systems, capable of developing embedded solutions for new challenges in the cyber-physical systems and internet-of-things domains. The Embedded Systems programme has three entry points and seven exit points. The first year will be similar at the three entry point universities (KTH, TUB, TU/e), covering the common base studies on construction of embedded systems, embedded hardware & software, and models & methods for embedded systems design. The second year will accommodate the technical specialisation provided by one of the exit point universities (KTH, TUB, TU/e, AALTO, TUCS, UNITN, BME). The seven specialisations are: (1) Embedded Platforms (2) Embedded Multicore Processing, (3) Embedded Networking, (4) Mobile Cyber-Physical Systems, (5) Internet of Things and Energy-Efficient Computing, (6) Real-Time Systems and Design of Cyber-Physical Systems, and (7) Critical Embedded Systems. What are the goals of the programme? The mission of the Embedded Systems programme is to give students a holistic and multidisciplinary view and skillset on embedded systems, their underlying technologies, their development, and their integration. Through the combined technical and entrepreneurial education, students will get insight into the role of embedded systems in the modern society and ability to develop innovations into business ideas and high tech embedded systems start-ups. They will also be capable of taking on leading management roles in embedded systems and more general ICT companies. How is the programme structured? The general structure of the two-year programme (120 ECTS) is shown below. The first year (60 ECTS), providing the technical core (common base) and I&E courses, is spent at one of the entry unversities. The second year (60 ECTS), providing the technical specialisation courses, is spent at one of the exit universities. The selected entry and exit points must reside in different countries. This international and cross-organisational mobility is a mandatory and essential part of the programme. The teaching language in all the courses is English. Embedded Systems programme The Embedded Systems programme involves seven partner universities and provides three entries and seven exits. The partner universities and their roles are as follows: Royal Institute of Technology (KTH), Sweden: Develops and implements the common base (entry) and the specialization (exit) “Embedded Platforms”. Technical University of Berlin (TUB), Germany: Develops and implements the common base (entry) and the specialization (exit) “Embedded Multicore Processing”. Eindhoven University of Technology (TU/e), the Netherlands: Develops and implements the common base (entry) and the specialization (exit) “Embedded Networking”. Aalto University (AALTO), Finland. Develops and implements the specialization (exit) “Mobile Cyber-Physical Systems”. Turku Centre for Computer Science (TUCS), Finland. Develops and implements the specialization (exit) “Internet of Things and Energy Efficient Computing” as joint effort between the two universities in Turku - University of Turku (UTU) and Åbo Akademi University (ÅAU). University of Trento (UNITN), Italy. Develops and implements the specialization (exit) “Real-Time Systems and Design of Cyber-Physical Systems”. Budapest University of Technology and Economics (BME), Hungary. Develops and implements the specialization (exit) “Critical Embedded Sytems”. 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 in Data Science (DSC)

EIT Digital Master School
Campus 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 in Cloud Computing and Services (CCS)

EIT Digital Master School
Campus 2 years September 2017 Spain Madrid

The programme in Cloud Computing and Services focuses on a broad range of applications like electronic commerce, mobile services, online social networks, peer-to-peer systems and Web services. [+]

Part time Masters in IT in Madrid in Spain. The programme in Cloud Computing and Services focuses on a broad range of applications like electronic commerce, mobile services, online social networks, peer-to-peer systems and Web services. What is common to all of these applications is that information sources and control are decentralised over the network and multiple data centres and their underlying systems become distributed, reconfigurable and adaptive. All this makes the process of developing distributed software systems significantly more complex than for centralised systems. Cloud Computing and Services will provide students with a system of knowledge both in formal foundations, technological platforms and practical skills in implementing distributed software applications. The programme will also provide an insight into current and future directions of the distributed software development. After completion of the study, students understand and know how to use large distributed systems. On top of this they are also capable of designing and constructing cloud computing systems and services on networking and computing infrastructures. The programme will offer six specialisations: (1) Mobile Services, (2) Cloud and Data Analytics, (3) Cloud Infrastructures, (4) Data Intensive Computing, (5) Distributed Information Management, (6) Distributed Data Processing. Programme During the first year, a similar set of courses are offered at the four involved entry points Aalto University, TU Berlin, University Rennes 1 and TU Delft. This includes distributed systems, advanced network technologies, service technologies and cloud programming models. In addition, some elective cours-es may be chosen to prepare for a specialisation. An important part of the programme are the Innovation and & Entrepreneurship (I&E) courses. The I&E basics course provides an introduction to business and management. The Business Development Lab will extend projects mainly in the areas of distributed system and cloud computing by a market survey, a business model generation process and a venture development exercise. We emphasize user driven innovation and holistic analysis of service, technology, organization and financial perspectives, as distributed systems in general and cloud computing in particular are disruptive for existing business models and almost always have a significant impact on the culture and social relations. Society-relevant themes will also be at the core of the summer schools, which will bring students from the different entry points together. Students participating in the CCS track will be offered an internship in a partner industry or research centre of the EIT Digital to work on a thesis project. Directly linked to the master thesis, there will be the I&E minor thesis that will specify the requirements, strategy and business plan for the selected master thesis project. The I&E thesis allows students to study topics including, but not limited to: Different models for cloud computing (IaaS; PaaS, SaaS) Peer-to-peer systems and environments Innovative service for mobile computing (location-based and context-aware services), Parallel and distributed systems Security and privacy for electronic commerce applications Linked open data and semantic web Multi-agent systems. Specialisations Specialisations are provided during the second year. The CCS programme offers 6 specialisations, each at a different location. To meet the requirements for geographic mobility, the chosen exit point needs to differ from the chosen entry point. Mobile Services at Aalto Cloud & Data Analytics at TU Berlin Cloud Infrastructures at University Rennes 1 Data Intensive Computing at KTH Distributed Information Management at Université Paris-Sud Distributed Data Processing at Delft University of Technology Specific Admission Requirements A B.Sc. degree in computer science, computer engineering or information systems, is required. Students should have basic competence in mathematics, theoretical foundations of CS, algorithms and data structures, software engineering and database systems, computer architectures, computer networks and operating systems. [-]

MA In Big Data And Data Science In Finance

Afi Escuela de Finanzas
Campus 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 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 [+]

Part time Masters in IT 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 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 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. [+]

Part time Masters in IT 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 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 [+]

Part time Masters in IT 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. [-]

Máster de Big Data y Business Intelligence. BIG

CICE La Escuela Profesional de Nuevas Tecnologías
Campus October 2017 Spain Madrid

La analítica predictiva es la ciencia de predecir el comportamiento, y está presente en todos los aspectos de nuestra vida. Pone en valor el poder de los datos y afecta cada día a la toma de millones [+]

La analítica predictiva es la ciencia de predecir el comportamiento, y está presente en todos los aspectos de nuestra vida. Pone en valor el poder de los datos y afecta cada día a la toma de millones de decisiones. Bancos, empresas, políticos y organizaciones la utilizan para convencernos de que necesitamos sus productos o servicios. Business Intelligence (Inteligencia de Negocio) es un enfoque para la gestión empresarial que permite a una organización definir qué información es útil y relevante para la toma de decisiones corporativas. Este concepto ayuda a las organizaciones a tomar mejores decisiones y ganar ventaja competitiva en el mercado. Big Data (Grandes Volúmenes de Datos) como concepto es el conjunto de tecnologías y herramientas para recolectar, almacenar, procesar y visualizar enormes cantidades de datos con un coste y en un tiempo razonable y asumibles por una organización. Business Intelligence se centra en ayudar a la organización a la toma de decisiones de una manera rápida y ágil, el Big Data se centra en el proceso y visualización de gran cantidad de datos. Y es que, sencillamente, si una empresa no es capaz de manejar cantidades enormes de datos con eficacia y aprovechando esa información para mejorar, esto se traducirá en pérdida de productividad, de oportunidades y de beneficios. Existen muchas tecnologías destinadas a procesar y analizar grandes cantidades de información. Apache Hadoop ha permitido “popularizar BIG DATA” siendo posible escribir programas con facilidad y llevar a cabo análisis de datos a gran escala. Este Máster profesional, te prepara como Experto en BIG DATA y Business Intelligence. Salidas profesionales Experto BIG DATA con Hadoop Modalidades Presencial [-]

Máster Especializado En Social Media Manager, Marketing Online Y Gestión De Clientes. Mcomm

CICE La Escuela Profesional de Nuevas Tecnologías
Campus October 2017 Spain Madrid

Formar a todas aquellas personas interesadas en gestionar de forma profesional las Redes Sociales en internet y en adquirir los conocimientos necesarios para desarrollar proyectos de Marketing [+]

Part time Masters in IT in Madrid in Spain. Formar a todas aquellas personas interesadas en gestionar de forma profesional las Redes Sociales en internet y en adquirir los conocimientos necesarios para desarrollar proyectos de Marketing Online. En la última década, la figura del Experto en Marketing Online y Social Media Manager ha cobrado gran relevancia. Que una empresa no esté presente en Internet y más concretamente en las Redes Sociales, puede conllevar una pérdida importante tanto en su volumen de ventas como en la atención y fidelización que ofrece a sus clientes. Este Máster Profesional conduce la estrategia, construye, gestiona y modera la Comunidad en función de los objetivos de la marca, y contribuye a fomentar el cambio y la continua adaptación de la Organización a Nuevos Medios Online, consiguiendo materializar y construir identidad digital a través de la vinculación con las audiencias como elemento de Marketing 2.0. Crear comunidad, establecer vínculos y contribuir al logro de los objetivos de negocio de manera efectiva requiere de una visión de negocio integral, innovadora y altamente comprometida con las nuevas corrientes de Marketing Online y Gestión de Comunidades. CICE, ha concebido este Innovador Programa de Estudios con el fin de permitir el acceso al Máster sin necesidad de conocimientos previos específicos sobre la materia. A quién va dirigido Todas aquellas personas interesadas en adquirir los conocimientos necesarios para desarrollar un plan de Marketing y un plan Social Media. Modalidades Presencial [-]