Program Overview

Master in Data Analytics for Business

The Master in Data Analytics for Business is a program designed for an international audience, providing practical training in big data, artificial intelligence, and business intelligence. The program aims to equip students with the skills necessary to analyze big data, manage projects, create business opportunities, and improve digital solutions in companies.

Overview

• The program starts on September 29, 2026.
• It is taught in Spanish.
• The modality is on-campus.
• The schedule is afternoons.
• The duration is 10 months.
• The ECTS credits are 60.
• The price is €16,000.

Why Choose This Program

1. Gain access to one of the most in-demand professions: The demand for professionals in big data will grow 23% in the next 10 years.
2. Specialize in artificial intelligence and big data analytics: Extract and analyze big data from different sectors with current market techniques in data analytics.
3. Get Microsoft certified: Take an elective course to prepare for the Microsoft Power BI Data Analyst Associate certification.
4. Learn about Amazon tools: Enjoy free access to material on data analytics tools from Amazon.
5. Learn from leaders in the sector: Learn from professors specialized in Data Analytics, Machine learning, and Business Analytics.
6. International recognition: Train at the No.1 Business School linked to a public university in Spain.

Who Is It For

The Master in Data Analytics for Business is mainly directed at profiles with training in economics, business administration and management, marketing, mathematics, physics, and engineering. It is also aimed at professionals from other fields who want to expand their knowledge to lead the management and interpretation of big data in companies.

Admission and Enrolment

The program is an official master's degree and has the academic recognition of the Ministry of Education of the Government of Spain. The Quality Agency of the Catalan University System (AQU) has also institutionally accredited UPF-BSM.

Curriculum

The Master in Data Analytics for Business is organized into three large modules focused on data extraction and visualization, artificial intelligence, and project management.

• Data analysis (Data Analytics): Compulsory topics include Fundamentals of Big Data, Data visualization and reporting, Introduction to Python, Processing with SQL, Exploratory Data Analysis, and Data Governance.
• Artificial intelligence (AI): Compulsory topics include Introduction to Artificial Intelligence, Machine learning 1, Machine Learning 2, and Artificial Intelligence Challenge.
• Project Management: Compulsory topics include Fundamentals of Project Management, Ethic and Legal aspects of Data Analytics, Leadership and Culture of Change, and Strategy and Business Models.

Elective Topics

• Fundamentals of Statistics for Data Analytics
• Data analytics for Health
• Data analytics for Marketing and Human Resources
• Data analytics for Logistics
• Professional Data Certification: Microsoft Power BI Data Analyst Associate
• Deep Learning

Internships

Students can undertake curricular internships in companies, which are validated as two elective subjects (6 ECTS credits).

Master’s Final Project

The final master's project (TFM) is worked on throughout the entire master's degree. Students must demonstrate and put into practice the knowledge acquired throughout each of the modules of the master's degree.

Faculty

The teaching staff of the Master in Data Analytics for Business have experience both in university teaching and in the extraction and analysis of big data, artificial intelligence, and project and company management.

Academic Directors

• Ana Freire: Senior Lecturer UPF-BSM, Vicedean for Social Impact and Academic Innovation
• Alexandra Abós Ortega: Lecturer UPF-BSM, Faculty, Operations, Technology & Science

Collaborating Faculty

• Guillem Batiste
• Ayoub Boustta
• Ariadna Casasús
• Joan Fernández
• Adriana Martins
• Sara Puig
• David Solans
• Luca Telloli
• Marc Valdivia

Methodology

The Master in Data Analytics for Business combines different teaching methodologies to offer a unique and complete learning experience. The common methodology in all the subjects will be learning by doing, in which practical cases, challenges, and simulations are worked on.

Evaluation

Students must pass all the subjects, the evaluation of which depends on the corresponding teacher, in order to obtain the qualification. This may consist of continuous evaluation, the carrying out of a project, exercises, overcoming a challenge, analyzing data, final exam, etc. Students must also pass the final master's project (TFM), which they have to present and defend in front of a panel.

Professional Future

The Master in Data Analytics for Business trains students in the fundamental aspects of data analytics so that they can develop and promote data-driven projects in companies of any sector. Extract, process, and interpret large databases and take advantage of their potential in order to optimize business strategies.

Career Opportunities

The Master in Data Analytics for Business trains students for data-driven positions, focused on data analytics, visualization, and big data management. These may be positions in technology companies or start-ups, but also in companies from various sectors that increasingly incorporate profiles into their teams that know how to manage, visualize, and analyze large amounts of data.

• Data Analyst
• Advanced Analytics Consultant
• Business Analyst
• Head of Business Development
• Data Scientist
• Data Manager
• Business Intelligence Engineer
• Data Engineer

Qualification Obtained

Once the program has been completed, students will be awarded the Màster Universitari en Analítica de Dades per a Empreses/ Master in Data Analytics for Business, issued by Pompeu Fabra University. Official Masters Diplomas: Students must pay the amount stipulated in the DOGC (Official Gazette of the Generalitat de Catalunya) for the rights to issue the diploma. This rate varies annually and the one in force at the time of the application for the title will be applied.