Three Points Digital Business School

Master in Big Data and Analytics

The Master in Big Data and Analytics is designed for professionals in any sector who want to implement a Big Data project in their company, identify what types of projects are of this type and define the best project roadmap to solve it successfully:

• Professionals who are working in the ICT sector
• Intermediate positions of companies that want to have an advantageous position in future opportunities in their company
• Professionals from the traditional BI sector who want to expand their knowledge
• Technical profiles / consultants who currently work with data and who want to have an end-to-end management vision

The study plan lasts 12 months, with a scheme of 10 compulsory modules, in addition to 4 voluntary workshops and the Think Digital Challenge developed throughout the academic calendar.

Program structure (*)

The modules that make up the program are grouped into the following 3 conductive blocks:

• Block I: Management and storage: We will identify when we are in front of a Big Data project, we will identify legal problems, we will identify the best environment in which to implement it and we will discover the types of databases that we can use based on the data.
• Block II: Process and analysis: We will learn to exploit data to turn it into information. We will discover the different techniques and market solutions to finally be able to generate indicators that the business can interpret.
• Block III: Visualization and business: The more data we have, the more indicators will end up being generated, a correct government, securitization and exploitation will ensure that the entire organization trusts the KPIs to make advantageous decisions.

Additionally, 4 voluntary practical workshops will be developed, where the student will be able to acquire a more practical vision of the concepts studied throughout the different modules.

Think Digital Challenge:

Think Digital Challenge is the academic-practical project that students will carry out transversally throughout the program from a learning by doing perspective, putting into practice the knowledge, tools and skills worked on throughout the different modules.

The project will base its premises on the real needs of top-level corporations so that the student can face the challenges of companies in the new digital era. The defining feature of Think Digital Challenge is the close link that occurs with the company in the development of work. In addition, the possibility of the student working on a real challenge that he is facing in his current job performance is also contemplated.

(*) The contents of the program may be subject to updates and changes in order to adapt to the evolution of the market.

The general objective is to provide the necessary knowledge to manage a Big Data project from all its aspects, starting from how to identify the opportunity in an organization until it is delivered to the business areas.

The Master in Big Data and Analytics allows to achieve the following specific objectives:

• How to transform the organization through data analysis and Big Data Analytics towards a Data Driven Organization.
• Know the main technological Frameworks on the market and their main applications: Hadoop, Spark, Neo4j, ...
• What are the different types of information, its storage and quality processes
• How to extract knowledge from data to generate predictive models via predictive statistics and Machine Learning
• Data governance techniques: Acquisition, storage, processing, analysis, visualization.
• Discover new Dashboards visualization techniques to improve decision making.

Upon completion of the master's degree, the student may occupy the following positions:

• Responsible for Big Data projects and advanced business analytics
• External consultant
• Responsible for Big Data Analytics infrastructures in the ICT area.
• Chief Data Officer
• Data Analyst