Master in Big Data & Data Intelligence

The Master in Big Data and Data Intelligence is designed to provide you with the tools, knowledge, and practical skills needed to confidently tackle data analytics projects in Big Data environments. Throughout the program, you will achieve the following key objectives:

Understand the socioeconomic model of Big Data: Analyze the economic and social impact of the Big Data phenomenon and its importance in the current context, enabling you to understand how data transforms businesses and industries.

Master the data ecosystem and valuation strategies: Gain the knowledge needed to identify and manage different types of data, and define strategies to maximize their value and potential in various business applications.

Define data analytics projects with a strategic approach: Learn to create Big Data projects aligned with business objectives, establishing clear goals, performance indicators, and measuring the impact of each analysis.

Understand the phases of work in Big Data Analytics projects: Familiarize yourself with the key stages in a Big Data project, from planning to execution and final analysis, understanding the workflow and the tools required for each phase.

Identify types of data and processing techniques: Learn to recognize different types of data (structured, unstructured, geospatial, etc.), their sources, and the appropriate techniques for consuming, preprocessing, and cleaning the data before analysis.

Apply fundamental concepts of statistics, Data Mining, and Machine Learning: Familiarize yourself with the fundamentals of statistics, Data Mining, and Machine Learning, and learn how to define and apply advanced analytical models that allow you to extract patterns and valuable insights from large data volumes.

Understand the architecture of Big Data Analytics systems: Learn the basic principles of distributed architecture, the technological components that make it up, and how to create scalable and robust systems to handle and analyze large volumes of data.

Learn data visualization techniques: Get to know the key tools and concepts for visualizing heterogeneous data (numeric, geospatial, etc.), and how to communicate results clearly and effectively through interactive graphical representations.

Use the main Big Data Analytics tools: Familiarize yourself with the most widely used tools in the industry for carrying out all the activities of data analysis, processing, and visualization in Big Data projects.

Develop a Big Data Analytics pilot project: Complete a practical project where you can apply the knowledge gained throughout the program, facing real challenges and consolidating your skills in a controlled environment.

This master’s program prepares you to become a leader in the field of data analytics, providing not only theoretical knowledge but also the practical skills needed to manage and execute successful Big Data projects in a global business environment.

The Master in Big Data and Data Intelligence, taught in English, is designed for professionals who seek to develop a deep understanding of data and analytics in Big Data environments, applying advanced techniques to make data-driven strategic decisions. If you want to expand your professional horizons and become an expert in one of the most in-demand fields, this program is for you. The ideal recipients are:

1. Technology and Data Analytics Professionals: If you already work in areas such as data analysis, business intelligence, IT, or programming, this master’s program will allow you to dive deeper into the advanced aspects of Big Data, such as the use of tools, advanced statistics, and Machine Learning techniques, enhancing your ability to tackle large-scale projects.
2. Consultants and Digital Transformation Experts: Consultants looking to expand their knowledge of Big Data and how to integrate it into business strategy will find in this program the key to offering innovative solutions that improve organizational competitiveness and efficiency.
3. Entrepreneurs and Startup Founders: If you are an entrepreneur or have your own project, this master’s program will provide you with the tools needed to integrate data analytics into your business model, optimizing resources, making informed decisions, and elevating the impact of your initiatives.
4. Marketing and Business Strategy Professionals: Those looking to leverage the power of data to improve marketing campaigns, personalize services, and make strategic decisions at the corporate level, with a clear focus on data valuation and monetization.
5. Graduates in Social Sciences, Engineering, or Business: Professionals with a background in areas such as engineering, mathematics, statistics, economics, or business administration who wish to specialize in data management and Big Data analytics to implement innovative solutions within their organizations.
6. Data Visualization Enthusiasts: If you have an affinity for designing visual information, this master’s program will teach you to effectively communicate complex data through advanced visualization tools, which is essential for presenting analysis results in a comprehensible and persuasive manner.

If you are passionate about the world of data and want to lead advanced analytics projects that make a difference in your company or career, this master’s program will provide you with the necessary skills to tackle Big Data challenges with confidence and precision.

Upon completing the Master in Big Data and Data Intelligence, graduates will be prepared to take on leadership roles in data management, analysis, and strategy in Big Data environments. With advanced training in analytical techniques, visualization tools, and distributed architectures, you will have access to a wide range of positions in key sectors. Key career opportunities include:

Data Scientist: As an expert in collecting, processing, and analyzing large volumes of data, you will be able to develop predictive and analytical models to solve complex problems and generate strategic value for organizations.

Big Data Engineer: Specializing in building and managing technological infrastructures that support Big Data analysis, you will be responsible for designing and optimizing systems for data storage, processing, and real-time analysis.

Data Analyst: Using data analysis tools and techniques, you will interpret information to identify patterns, trends, and make key decisions to improve business processes, always with a focus on data valuation and monetization.

Machine Learning Engineer: Applying advanced Machine Learning techniques, you will develop predictive models that improve the efficiency and accuracy of business decisions, with the ability to adapt models to various types of data and sectors.

Business Intelligence Analyst: You will manage data integration from different sources, using BI tools to create interactive reports and dashboards that provide executives with the necessary information for strategic decision-making.

Data Architect: You will design and develop the Big Data system architecture within an organization, ensuring that data is processed, stored, and analyzed efficiently, scalably, and securely.

Big Data and Data Analytics Consultant: You will provide strategic advice to businesses on implementing and optimizing Big Data projects, helping to define data analytics projects aligned with business goals, maximizing their impact and value.

Chief Data Officer (CDO): In a leadership role, you will be responsible for the organization’s data strategy, managing the company’s digital transformation by effectively using data to create value, drive innovation, and competitiveness.

Data Visualization Specialist: You will design advanced solutions to present large volumes of heterogeneous data clearly and effectively, using data visualization techniques to help executives and teams understand and make quick, well-informed decisions.

Data Governance Manager: You will be responsible for implementing data governance policies and strategies to ensure that information is managed securely, legally, and efficiently within organizations, adhering to current regulations.

Entrepreneur in Data Analytics: If you have an entrepreneurial mindset, you could create your own company specializing in Big Data and data analytics, providing innovative solutions to clients in sectors such as healthcare, marketing, education, and more.

This master’s program prepares you for a wide range of positions in the dynamic field of data analytics, with a focus on both technical ability and the strategic application of Big Data solutions across any industry.

INSA International Business School offers the opportunity to undertake internships with companies during the course of the Master’s program. We have over 500 job and internship offers annually in the different areas in which we train professionals. Being in contact with the professional world and providing the opportunity for students to apply the knowledge they acquire is one of our differentiating factors.

Module 1
Descriptive Analysis Why do we want to analyze the data? What data do we need?
Module 2
Repository construction analysis. How to save the information.
Module 3
Definition and creation of variables. Where to start analyzing.
Module 4
Graphical representation variables. What and how to measure results.
Module 5
Defining indicators and validating results. Amount of data to analyze.
Module 6
Data Mining. Can we reduce the number of variables for analysis? Relations between events / hidden relationships. Grouping of users and / or products. Forecasts of behavior. Application of Analysis to the environment 2.0.
Module 7
Big Data. Strategic management of data flow. Generate economic value through the capture and analysis. Lifetime data. Improved Customer Service and competitive. Performance, segmentation and automation.
Module 8
Case Study. How to apply the acquired knowledge to a practical case.