Become an expert in data analytics with a 100% online, flexible, and career-oriented master’s program. Enter one of the most in-demand professions through hands-on training in artificial intelligence, Python, big data, business intelligence, and digital project leadership. Prepare to lead companies’ technological transformation with a program designed for working professionals who want to balance study with their careers.
The Online Master in Data Analytics for Business offers advanced training in data analysis applied to business decision-making. You will learn to extract, process, and visualize big data with cutting-edge tools, build artificial intelligence (machine learning) models, and lead data-driven projects in organizations across any sector.
This online master’s is designed to help you balance professional life with academic growth, with a practical, flexible, and global approach. You’ll work through every phase of the data pipeline: collection, storage, processing, exploratory analysis, prediction, classification, and final visualization.
The teaching faculty—active professionals from leading companies in AI and data analytics—bring an applied perspective closely connected to the job market. In addition, the online format fosters international networking by bringing together students from different countries and industries.
The program combines official university accreditation, preparation for technology certifications (Microsoft), and an online learning-by-doing methodology—a triple quality guarantee that makes it one of the most comprehensive options available.
Why choose this program
Access to one of the most in-demand professions worldwide
Demand for data analytics professionals will grow by 23% over the next 10 years, according to the U.S. Bureau of Labor Statistics. The data analyst role is already essential in any company, and salaries are increasingly competitive.
Specialize in artificial intelligence and big data analytics
Extract and analyze big data across sectors using current market techniques in data analytics. Carry out predictive analyses with artificial intelligence and learn key strategies to interpret data and lead projects.
Get the Microsoft PL-300 certification
You can take an elective course to prepare for the Microsoft Power BI Data Analyst Associate certification, thanks to UPF-BSM’s agreement with Microsoft.
Train with Amazon tools
Enjoy free access to the Amazon cloud (Amazon Web Services). You’ll learn how to get the most out of these platforms to add value to your professional profile in data analytics.
Learn from industry leaders
Learn from faculty who specialize in Data Analytics, Machine Learning, and Business Analytics. Professionals from companies such as NTT DATA and Microsoft share their experience and knowledge in data and project management.
International recognition
Study at the first business school linked to a public university in Spain. The international EQUIS distinction endorses the institution’s quality.
Who is it for?
The Online Master in Data Analytics for Business is aimed at professionals with backgrounds in economics, business administration, marketing, mathematics, engineering, computer science, or physics, as well as candidates from other fields who wish to train in data science and online business analytics to lead digital transformation projects.
Accreditations
UPF Barcelona School of Management is the business school of Pompeu Fabra University, which ranks as the 1st Ibero-American university and the 16th in the world among universities under 50 years old, according to the Times Higher Education ranking.
The EQUIS academic accreditation—the most prestigious international recognition for business schools—places UPF Barcelona School of Management among the elite in this field.
The Online Master in Data Analytics for Business is an official master’s degree and has academic recognition from the Ministry of Education of the Government of Spain. The Agency for the Quality of the University System of Catalonia (AQU) has also granted institutional accreditation to UPF-BSM. This accreditation certifies all the official university master’s degrees we offer and recognizes the quality of our educational model in line with the standards of the European Higher Education Area (EHEA).
UPF Barcelona School of Management is an accredited training center for Amazon and Microsoft tools.
Curriculum
The Online Master in Data Analytics for Business is structured into three major modules focused on artificial intelligence, data analytics, and project management.
You must complete all compulsory courses and choose either four electives* or two electives plus a professional internship. The wide range of available courses will let you tailor your training to your interests.
In addition, to offer a more hands-on learning experience, we will organize an optional in-person week of visits to technology companies that base their strategies and decisions on data. This will allow you to see how they approach data analysis, visualization, and interpretation to achieve optimal business strategies.
* The information on these pages is for guidance only and may be subject to change in each academic year’s adaptations. Elective courses will be offered if a minimum number of enrolled students is reached. The final offer for each academic year may be adjusted based on academic planning. The definitive course guide will be available to enrolled students in the virtual campus before each course begins.
Data analysis (Data Analytics)
Students develop the technical skills needed to visualize large datasets using not only commonly used tools but also Python and its most popular libraries. After an introduction to the language, they learn how to present data through tables, descriptive statistics, and univariate or multivariate charts across different application domains.
Students learn how to manage and execute a data analytics project in healthcare, including data collection (case vs. control), machine learning problems for prediction or classification, patient clustering, and time-series–based forecasting. This course integrates knowledge from several core courses and applies it to the increasingly digital health sector.
Provides the skills to apply data analysis tools to financial decision-making. Through a practical approach, the course covers widely used methodologies in financial data analytics—from data collection and cleaning to modeling and interpretation.
Artificial intelligence (AI)
Students learn to frame a machine learning problem, develop algorithms to solve it, and evaluate the results. The course focuses on supervised (regression, classification) and unsupervised (clustering) algorithms, selecting the right approach for real projects and deploying models to production. Evaluation covers not only common metrics such as precision, recall, and F1, but also bias detection.
An advanced course that delves into model design and optimization. It takes a highly practical approach while providing the theoretical foundations needed to understand how these algorithms work.
Project Management
Students learn core Project Management knowledge to lead projects in high-change, high-demand environments. The course covers the fundamental principles of the discipline along with the most widely used techniques and tools. It also explores how Agile methodology integrates into project management. Domains, tools, and techniques of Project Management are explained to drive projects forward, and students learn Agile principles to manage flexible projects.
Equips students with the skills needed to understand the strategy formulation process in today’s business environment, as well as the process of launching a startup. The course includes the methodologies and tools required to interpret and formulate business strategy and to analyze 21st-century business models.
This course focuses on the main management systems that can be integrated into a company to improve and certify sustainability standards. It provides criteria and critical judgment to identify the systems that best fit a company’s specific needs. It also offers the theoretical and practical knowledge needed to implement management systems that combine process quality, environmental efficiency, and workplace safety.
Data analytics processes—especially when handling personal data—must comply with the General Data Protection Regulation (GDPR). Beyond legal compliance, data must also be treated ethically. This course raises awareness of both dimensions and equips students with the tools to design and execute projects within legal and ethical boundaries while minimizing potential biases.
Internships
Master’s Final Project
Complementary activities
The Online Master in Data Analytics for Business also offers the chance to take part in hands-on activities and personal and professional growth opportunities such as:
- Training complements: An initial preparation course for participants who need it depending on their prior background: Introduction to Economics and Business, Tools for Data Analysis, and Introduction to Programming in Python.
- Visits to companies with a data-driven approach: During the program, we will organize an optional in-person week for students with various activities and visits to technology companies that base their business strategies and decisions on data extraction, visualization, and interpretation, as well as the application of artificial intelligence.
- Professional development program: Sessions and workshops to strengthen your professional profile, learn how to approach hiring companies, and develop the skills to advance in the job market.
- UPF-BSM Inside: A set of cross-cutting, interdisciplinary courses (applied data, communication, creativity, innovation and project management, sustainability, management, leadership, among others) that you can access at no additional cost if you enroll in this program. They are 100% online and self-paced throughout the academic year, designed as self-learning courses.
Qualification obtained
Once the program has been completed, you will be awarded the Màster Universitari en Analítica de Dades per a Empreses/ Master in Data Analytics for Business - Máster Universitario en Analítica de Datos para Empresas/ Master in Data Analytics for Business, issued by Pompeu Fabra University.
Official Masters Diplomas: You 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.
Faculty
The faculty of the Online Master in Data Analytics for Business have experience in university teaching as well as in artificial intelligence, data analytics, and the leadership of projects and companies.
In addition, throughout the program, senior specialists from leading tech companies share their professional experience.
Academic directors
Faculty
Collaborating faculty
- Alexandra Albós
Data Scientist at Sanofi pharmaceuticals. Holds a Ph.D. in Biomedical Engineering from the University of Barcelona, and is also a professor in the Data Science Master's and Bachelor's programs at the Universitat Oberta de Catalunya (UOC). She has a Bachelor's and Master's degree in Biomedical Engineering from the University of Barcelona, and a Postgraduate degree in Artificial Intelligence (AI) with deep neural networks (Deep learning) from the Polytechnic University of Catalonia (UPC). She is also an author and/or co-author of multiple scientific articles (Google Scholar). - Ariadna Casasús
Has held various positions in multinational companies in the areas of strategy and marketing. She is currently part of the team at Link2market, a company dedicated to carrying out practical strategic projects to accelerate organizations. She has a degree in International Business and Marketing (ESCI-UPF), in Advertising and Public Relations (UOC), and has studied the Global Executive Master in Digital Business (ISDI) and the Master in Innovation and Digital Transformation (UOC). She is an associate lecturer in the Executive and Master's programs in Digital Marketing at the UOC and a collaborating professor at La Salle-Technova. - Adriana Martins
Specialist in Business Intelligence with a main focus on visualization tools and data processing. She has worked for top-tier companies in multiple sectors (banking, health, retail, public sector, education, etc.). She currently works at Minsait (Indra) in the Business Intelligence department for an IBEX35 bank. She holds a degree in Management Computer Engineering from the UPC, has studied the master's in Big Data Management, Technologies and Analytics (UPC), and the master's in Health Management (UB). - Natàlia Padilla
Postdoctoral researcher at Vall Hebron Institute of Research (VHIR). She also co-founded and manages the Python Barcelona association. She holds a PhD in Bioinformatics from UAB and has a vast experience in clinical bioinformatics and machine learning applied to biomedicine. She has collaborated with several prestigious institutions such as Instituto de Biología Molecular de Barcelona (CSIC) and Children’s Hospital of Philadelphia, USA. She has contributed with more than 20 scientific publications, such as Sheppard et al., Mechanism of KMT5B haploinsufficiency in neurodevelopment in humans and mice; Sci Adv. 2023 10.1126/sciadv.ade1463 and Padilla et al., BRCA1‐ and BRCA2‐specific in silico tools for variant interpretation in the CAGI 5 ENIGMA challenge; Hum Mutat. 2019 10.1002/humu.23802. - David Solans
Associate Researcher at Telefónica Research. PhD in Communication Sciences from Pompeu Fabra University. He has a Master's and Postgraduate degree in Data Science and a Degree in Computer Engineering from the Universitat de Barcelona. He is the author and/or co-author of multiple scientific articles and is the inventor of several patents published by the United States Patent Office. - Luca Telloli
Senior Data Engineering, Adevinta. Graduated in Computer Science from the University of Bologna. He has an MSc in Computer Science and Engineering from UC San Diego. He has worked as a research engineer at institutions such as the Barcelona Supercomputing Center and Yahoo! Research. He has teaching experience at the School of Engineering of the Pompeu Fabra University. - Marc Valdivia
Computer Engineer from the University of Barcelona. He participated in the computer vision research group with a publication in the ECCV. Specializing in the field of artificial intelligence, he currently leads the engineering team at the Spanish startup Piper. Previously, he was a professor in the “Big Data & Artificial Intelligence” master's program at the Barcelona Technology School.
Specialists and professionals:
- Patricia Heredia
CEO MiniVinci & YouTuber at ValPat - Tommaso Meneghini
D+A Global Data Governance @PepsiCo - Belén Arribas
President of IFCLA (International Federation of Computer Associations)
Methodology
The Online Master in Data Analytics for Business is delivered entirely on a virtual campus designed to help you balance your professional and personal life with an official university education.
The methodology is based on learning by doing in digital environments, where you work with practical cases, online challenges, and interactive simulations. All content is organized into modules with both synchronous (live) and asynchronous (recorded) sessions, giving you the flexibility you need.
Combining theory and practice
Courses blend theoretical foundations with a practical approach. This methodology helps you consolidate key concepts in data extraction, visualization, and database management to lead projects in companies.
Learn through hands-on simulations
Boost your learning with practical simulations, group dynamics, presentations, debates, and interactive activities.
Take on real company challenges
Professionals from data-driven companies propose challenges based on real cases so you can immerse yourself in today’s workplace.
Workshops with industry professionals
In each edition, we invite professionals from major companies to share their experience and knowledge in advanced big data analytics. Tackle real challenges related to business intelligence and business analytics, and open the door to your professional future.
Tutoring and follow-up
You’ll receive support from the academic leadership team whenever you need it, ensuring your progress.
Evaluation
You 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, analysing data, final exam, etc. You must also pass the final master's project (TFM), which you have to present and defend in front of a panel.
Regular class attendance and passing the practical exercises and compulsory assignments are part of the evaluation system. The teachers who commission them mark their conditions of delivery and preparation.
All evaluation activities are related to each other so that they follow a logical scheme.
Tools
The learning process is characterized by its flexibility, since, in the virtual learning environment, the structure of the school calendar and the diversity of multimedia resources which are made available to the student allows them to acquire knowledge in a self-regulated manner.
The support of the teaching staff and interaction with classmates is carried out by making use of a wide variety of communication channels that facilitate proximity and didactic dialogue.
Professional Future
The Online Master in Data Analytics for Business trains you in the fundamentals of data analytics so you can develop and drive data-driven projects in companies across any sector. Extract, process, and interpret large datasets and leverage their potential to optimize business strategies.
The growing demand for professionals in artificial intelligence, big data, and business intelligence is opening up opportunities in technology, consulting, finance, healthcare, marketing, logistics, and any organization seeking to optimize processes through data.
Student profile
Students in the master’s program come from diverse backgrounds (economics, business administration, engineering, mathematics, marketing, or social sciences), which enriches the learning experience. Interaction with professionals from different sectors fosters a practical, cross-cutting approach to data analytics.
Career opportunities
The Online Master in Data Analytics for Business prepares you to take on data-driven roles focused on data analytics, visualization, and big data management. These positions may be in tech companies or start-ups, but also in organizations across many sectors that increasingly seek professionals capable of managing, visualizing, and analyzing large volumes of data.
In addition, the master’s includes the option to complete curricular internships at companies that will boost your professional future.
Upon completion of the program, you’ll be qualified for a wide range of roles such as:
- Data Analyst
- Advanced Analytics Consultant
- Business Analyst
- Head of Business Development
- Data Scientist
- Data Manager
- Business Intelligence Engineer
- Data Engineer