With the increasing amount of data that companies must collect, store and manage, you won't be short of job opportunities in this highly specialized field" 

Data analysts have been gaining prominence over the past few decades thanks to the continuous technological advances that have allowed them to specialize and manage ever-increasing amounts of information. The growth and increase in the amount of data has been so significant that the discipline of Big Data has emerged. As defined by Doug Laney himself, it is characterized by the volume, variety and velocity of the data that continually reaches companies. The analyst in charge of filtering and managing all this information must be highly trained in databases and evaluation tools in order to know how to correctly handle all the material they are working with. 

Due to the high level of training required in the field of Big Data, TECH has developed this advanced master’s degree in Big Data Management. It compiles the main skills and knowledge that a data analytics specialist must acquire to be competent and effective in the field of Big Data. Therefore, the main platforms, algorithms and the most up-to-date tools are studied. There is also focus on the strategic visions needed to be able to turn all these analytics into a valuable asset for the company in order to make productive and satisfactory business decisions. The teaching also includes in-depth information on the Internet of things, data science, marketing, machine learning or visual analytics itself, thereby guaranteeing a deep-rooted education for the student. 

In addition, it is a 100% online program, which means that the student does not have to travel to a physical center or adhere to pre-set schedules. The student can access the educational material at any time and plan their studies as best suits them and their personal, professional or academic needs. 

You are going to become the backbone of any business strategy in large companies. Don't hesitate in giving your career a boost with this advanced master’s degree in Big Data Management" 

This advanced master’s degree in Big Data Management contains the most complete and up-to-date educational program on the market. The most important features include: 

• Practical cases studies are presented by experts in data analysis 
• The graphic, schematic, and eminently practical contents with which they are created, provide scientific and practical information on the disciplines that are essential for professional practice
• Practical exercises where the self-assessment process can be carried out to improve learning 
• Special emphasis on innovative methodologies in the field of data analysis
• Theoretical lessons, questions to the expert, debate forums on controversial topics, and individual reflection assignments 
• Content that is accessible from any fixed or portable device with an Internet connection 

If you know the story of Billy Beane and the Oakland Athletics, you are aware of how your work can revolutionize the world. Specialize in Big Data Management and become the vector of modern change” 

The teaching staff includes professionals from the field of Data Analysis, who contribute their experience to this program, as well as renowned specialists from leading societies and prestigious universities.

The multimedia content, developed with the latest educational technology, will provide the professional with situated and contextual learning, i.e., a simulated environment that will provide an immersive educational experience designed to learn for real-life situations. 

This program is designed around Problem-Based Learning, whereby the student must try to solve the different professional practice situations that arise during the course. For this purpose, the professional will be assisted by an innovative interactive video system created by renowned and experienced experts.   

Big Data Analysis is going to improve levels of quality in many technological fields. Join a field where you will be the main player in the business and personal evolution of society"

Big Data Analysis is going to improve levels of quality in many technological fields. Join a field where you will be the main player in the business and personal evolution of society"

The objective of the advanced master’s degree in Big Data Management is to instruct the student in the extensive field of the analysis of large amounts of data, both from the perspective of the collection and storage itself, as well as the subsequent interpretation and filtering of the data. This allows the student to develop intervention plans and solutions to complex problems based on the collected analytics. In addition, the student will also learn how to prepare reports to show all the data in a clear and concise way to management or work teams. 

This advanced master’s degree will completely change your career perspective, allowing you to apply for positions you would never have considered before" 

General objectives

• Offer students immersion in the new social and technological context in which Visual Analytics tools are framed 
• Obtain and enhance fact-based critical thinking for strategic decision-making 
• Study the value of the changing environment and facilitate the student's connection with entrepreneurship and the new knowmad way of working 
• Analyze the data produced and draw conclusions using statistical tools to make the most appropriate decisions at all times 
• Understand the benefits of applying data analytics techniques in each department of the company 
• Develop the basis for understanding the needs and applications of each department 
• Generate specialized knowledge to select the right tool 
• Propose techniques and objectives in order to be as productive as possible according to the department 

Specific objectives

• Develop analytical skills in order to make quality decisions 
• Examine effective marketing and communication campaigns 
• Determine the creation of scorecards and KPIs according to the department 
• Generate specialized knowledge to develop predictive analytics 
• Unify diverse data: Achieving consistency of information 
• Define what is meant by IoT (Internet of Things) and IIoT (Industrial Internet of Things) 
• Review the Industrial Internet Consortium 
• Generate specialized knowledge in data analysis and representation 
• Examine the different types of grouped data 
• Establish the most-used graphic representations in different fields 
• Develop the skills to convert data into information from which knowledge can be extracted 
• Determine the main features of a dataset, its structure, components and the implications of its distribution in the modeling 
• Generate specialized knowledge about the statistical prerequisites for any data analysis and evaluation 
• Develop the necessary skills for data identification, preparation and transformation 
• Develop the formulation and basic properties of univariate time series models 
• Examine the methodology of modeling and prediction of real time series 
• Analyze the step from information to knowledge 
• Develop the different types of machine learning 
• Determine the requirements for mass data usage systems 
• Examine different data models and analyze databases 
• Analyze the key functionalities for distributed systems and their importance in different types of systems 
• Analyze the state-of-the-art artificial intelligence (AI) and data analytics 
• Develop analytical skills in changing environments 
• Identify and focus on new scenarios and their opportunities 
• Know the different theories for data analysis and interpretation 
• Identify the most common descriptors for a dataset 
• Design the joint strategy of statistical and artificial intelligence techniques for the development of descriptive and predictive systems applied to the reality of a dataset 
• Understand the operation and characteristics of common mass data processing techniques 
• Know the environments most used by Data Scientists 
• Know how to process data in different formats from different sources 
• Learn from the need to guarantee the veracity of the data as a prior step to its processing 
• Know the artificial intelligence techniques applicable for massively parallelized data processing on a given data set and according to previously defined requirements 
• Know how to manage large volumes of data in a distributed manner
• Know and develop the Drive profile applied to mass data environments 
• Develop strategic communication and presentation techniques 
• Know the different types of marketing and how they are applied in organizations and their influence on business strategies 
• Understand how patterns found in a data set can be made visible in order to generate a common interpretation of the underlying reality 
• Understand the process of Keim's visual analysis 
• Know how to generate diagrams that visually represent the chosen situation from a set of data 
• Be able to combine the different techniques studied for the design of original visualizations 

A unique opportunity to specialize in a highly-demanded and prestigious field with extensive future perspectives. Don't hesitate and enroll now”