Master in Big Data and Business Analytics [MBDA]

The purpose of the program is to prepare you to increase the economic and social impact of the business through the implementation and management of a Data Driven culture based on Big Data projects, guiding the team in the identification, obtaining and processing of information strategically to reduce uncertainty in decision making in the company in a changing environment. In this master's degree, artificial intelligence complements data analysis methodologies, in terms of obtaining optimal predictions for decision making.

• Strategy, Innovation and Leadership
• Digital environment
• Big Data and Artificial Intelligence
• Final work

Practical part

Workshops

In these workshops you will work on training content prior to teaching the specific Big data subjects, with the aim of leveling your knowledge and skills:

• Advanced Excel course. Self-paced online course, on the Harvard platform
• Statistics course. Self-paced online course, on the ESIC platform

Group Cases

The thematic organization of the cases is as follows:

• Group case Strategy, Innovation and Digital Transformation. The purpose of this case study is to analyze a relevant company in the world of data and artificial intelligence from a strategic perspective, and make recommendations on business improvements.
• Data Analytics Group Case
• Applied Big data group case.

We are proud of the national and international recognition of our programs. But we are even more proud of all the people who make ESIC one of the best institutions in the world. The quality of the teaching staff, management staff, employing companies and, above all, the desire of our students and alumni to improve, make ESIC and our Master in Big Data and Business Analytics stand out with the following recognitions:

• #2 Spain - Esic in the National Top for adopting Big Data and Business Analytics programs
• #3.4 Europe - Best Big Data and Business Analytics School with a Focus on Student Employability
• #1 Spain - Leaders in Marketing Masters according to the world
• #3 Spain - Esic on the Podium of the Best Business Schools, for Recent Graduates and Young Professionals

1. You will be able to have an integrative vision of technology, statistics and business needs to provide real solutions and make decisions by transforming data into useful knowledge
2. You will design and implement both Big Data and digital transformation projects aligned with the company's strategy
3. You will apply Machine Learning and Artificial Intelligence to optimize predictions and decision making
4. You will apply the data strategy ethically and safely
5. You will acquire agile, results-oriented management skills.

This program is aimed at any professional who wants to grow in their career. Our Master in Big Data & Business Analytics is designed to adapt to different profiles and professional experiences, such as junior professionals in areas of data analysis, consulting, digital marketing, business intelligence or product development.

It doesn't matter if you are a recent graduate with little professional experience or a professional with less than 3 years looking to change sectors. During your training you will share a classroom with professionals like you.

• CDO
• CMO
• Responsible for investing in merchandise
• Responsible the Business Intelligence
• Product manager
• Brand Manager
• Director of Marketing
• Consultor de transformación digital

At ESIC we know that the best way to learn is practically. Therefore, our program is designed based on tools, workshops, real cases and use of licenses so that you access the labor market with the greatest possible preparation. Our MBDA stands out for:

• The Master in Big Data & Business Analytics is the only program that integrates the vision of Business Intelligence, strategic business analysis, Big Data projects, knowledge of technology and decision-making based on data
• You will obtain not only specific knowledge in this area, but also the management skills for decision making and team leadership.
• Practical approach based on the analysis and resolution of business cases and use of databases (datasets) in the learning process
• Holistic approach to AI: from business strategy to the customer, through innovation in products and services, data projects and organizational change.