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The Master in Business Intelligence & Data Analytics is designed for professionals who want to transform data into strategic knowledge, lead business analytics projects and support decision-making in increasingly digital, competitive and data-driven organizations.
The program stands out for offering comprehensive training in Business Intelligence, Data Analytics, Big Data, data visualization, advanced analytics, cloud, automation and Artificial Intelligence applied to business. Its approach prepares students to design analytical solutions, build dashboards, interpret complex information and turn data into value for the organization.
Through a practical methodology, students develop the skills to manage the full data lifecycle, from integration, preparation and analysis to visualization, communication of results and the application of predictive models. The program connects technology with business strategy, helping students understand how data drives efficiency, innovation and competitiveness.
This program stands out for integrating key skills, tools and technologies to lead Business Intelligence and Data Analytics projects: • Business Intelligence applied to business, focused on transforming business data into useful information for decision-making. • Data Analytics and advanced analytics, to identify patterns, interpret results and generate actionable insights. • Data visualization and dashboards, using tools such as Power BI, Qlik Sense SaaS and Tableau to communicate information clearly and strategically. • Big Data and cloud analytics, incorporating technologies such as AWS S3, Athena and Glue to understand environments for processing, storing and analyzing large volumes of data. • Data Science and applied Artificial Intelligence, to explore predictive models, automation, advanced analysis and new ways to generate value from data. • Analysis and modeling tools, such as Python, R, KNIME, Orange and Ollama, which allow students to work with data, experiment with models and reinforce practical application. • Analytics project management, focused on coordinating data initiatives, agile methodologies and value generation for the business. • Data governance and strategic vision, to understand the importance of quality, security, traceability and responsible use of information.
The program includes professional certifications that strengthen its practical and employability-oriented approach: • Scrum Master & Product Owner: focused on agile methodologies and efficient management of data and digital transformation projects. • Value Stream Management: focused on process optimization, value identification and workflow improvement. • Registered Gen AI Practitioner: focused on Generative Artificial Intelligence applied to business, automation and productivity.
Learning is completed with practical bootcamps and labs: • R Bootcamp: focused on statistical analysis, data processing and the development of analytical models. • Python Bootcamp: focused on programming, data analysis, automation and practical application in Business Intelligence and Data Analytics environments. • Artificial Intelligence Bootcamp: focused on exploring AI applications, automation and value generation from data. • Visualization and reporting labs: to build dashboards, interpret indicators and communicate business results. • Application of analytics in real cases: focused on solving business challenges through data, professional tools and analytical thinking.
Overall, the program offers a practical, strategic and technological learning experience that prepares professionals to lead Business Intelligence and Data Analytics projects, transform data into decisions and generate value in organizations seeking to compete through a data-driven culture.
Programme overview
Main Subject
Business and Management Studies
Degree
Other
Study Level
Masters
Study Mode
Online
The Master in Business Intelligence & Data Analytics is designed for professionals who want to transform data into strategic knowledge, lead business analytics projects and support decision-making in increasingly digital, competitive and data-driven organizations.
The program stands out for offering comprehensive training in Business Intelligence, Data Analytics, Big Data, data visualization, advanced analytics, cloud, automation and Artificial Intelligence applied to business. Its approach prepares students to design analytical solutions, build dashboards, interpret complex information and turn data into value for the organization.
Through a practical methodology, students develop the skills to manage the full data lifecycle, from integration, preparation and analysis to visualization, communication of results and the application of predictive models. The program connects technology with business strategy, helping students understand how data drives efficiency, innovation and competitiveness.
This program stands out for integrating key skills, tools and technologies to lead Business Intelligence and Data Analytics projects: • Business Intelligence applied to business, focused on transforming business data into useful information for decision-making. • Data Analytics and advanced analytics, to identify patterns, interpret results and generate actionable insights. • Data visualization and dashboards, using tools such as Power BI, Qlik Sense SaaS and Tableau to communicate information clearly and strategically. • Big Data and cloud analytics, incorporating technologies such as AWS S3, Athena and Glue to understand environments for processing, storing and analyzing large volumes of data. • Data Science and applied Artificial Intelligence, to explore predictive models, automation, advanced analysis and new ways to generate value from data. • Analysis and modeling tools, such as Python, R, KNIME, Orange and Ollama, which allow students to work with data, experiment with models and reinforce practical application. • Analytics project management, focused on coordinating data initiatives, agile methodologies and value generation for the business. • Data governance and strategic vision, to understand the importance of quality, security, traceability and responsible use of information.
The program includes professional certifications that strengthen its practical and employability-oriented approach: • Scrum Master & Product Owner: focused on agile methodologies and efficient management of data and digital transformation projects. • Value Stream Management: focused on process optimization, value identification and workflow improvement. • Registered Gen AI Practitioner: focused on Generative Artificial Intelligence applied to business, automation and productivity.
Learning is completed with practical bootcamps and labs: • R Bootcamp: focused on statistical analysis, data processing and the development of analytical models. • Python Bootcamp: focused on programming, data analysis, automation and practical application in Business Intelligence and Data Analytics environments. • Artificial Intelligence Bootcamp: focused on exploring AI applications, automation and value generation from data. • Visualization and reporting labs: to build dashboards, interpret indicators and communicate business results. • Application of analytics in real cases: focused on solving business challenges through data, professional tools and analytical thinking.
Overall, the program offers a practical, strategic and technological learning experience that prepares professionals to lead Business Intelligence and Data Analytics projects, transform data into decisions and generate value in organizations seeking to compete through a data-driven culture.
Admission Requirements
Tras completar la solicitud de admisión a uno de nuestros programas, recibirás un correo electrónico con información sobre la Escuela y un miembro del Departamento de Admisiones se pondrá en contacto contigo para iniciar el proceso de admisión. Una vez superada con éxito la entrevista personal, deberás presentar toda la documentación requerida para continuar con el proceso de admisión y poder certificar que cumples con los requisitos del perfil del estudiante. Posteriormente, se celebrará un Comité de Admisiones y, en caso de ser favorable, podrás realizar la matrícula e inscribirte en el programa solicitado.
12 Months
Oct
Apr
Candidates are required to submit references or letter(s) of recommendation for acceptance
Candidates are required to submit an essay(s) for acceptance
Tuition fees
Domestic
8,500 EUR
International
8,500 EUR
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Máster in Business Intelligence y Analytics
Campus Virtual: Blackboard, Barcelona, Spain
12 monthsProgramme duration
8,500 EURTuition Fee/year
Oct, AprStarting Month
Programme overview
Main Subject
Business and Management Studies
Degree
Other
Study Level
Masters
Study Mode
Online
The Master in Business Intelligence & Data Analytics is designed for professionals who want to transform data into strategic knowledge, lead business analytics projects and support decision-making in increasingly digital, competitive and data-driven organizations.
The program stands out for offering comprehensive training in Business Intelligence, Data Analytics, Big Data, data visualization, advanced analytics, cloud, automation and Artificial Intelligence applied to business. Its approach prepares students to design analytical solutions, build dashboards, interpret complex information and turn data into value for the organization.
Through a practical methodology, students develop the skills to manage the full data lifecycle, from integration, preparation and analysis to visualization, communication of results and the application of predictive models. The program connects technology with business strategy, helping students understand how data drives efficiency, innovation and competitiveness.
This program stands out for integrating key skills, tools and technologies to lead Business Intelligence and Data Analytics projects:
• Business Intelligence applied to business, focused on transforming business data into useful information for decision-making.
• Data Analytics and advanced analytics, to identify patterns, interpret results and generate actionable insights.
• Data visualization and dashboards, using tools such as Power BI, Qlik Sense SaaS and Tableau to communicate information clearly and strategically.
• Big Data and cloud analytics, incorporating technologies such as AWS S3, Athena and Glue to understand environments for processing, storing and analyzing large volumes of data.
• Data Science and applied Artificial Intelligence, to explore predictive models, automation, advanced analysis and new ways to generate value from data.
• Analysis and modeling tools, such as Python, R, KNIME, Orange and Ollama, which allow students to work with data, experiment with models and reinforce practical application.
• Analytics project management, focused on coordinating data initiatives, agile methodologies and value generation for the business.
• Data governance and strategic vision, to understand the importance of quality, security, traceability and responsible use of information.
The program includes professional certifications that strengthen its practical and employability-oriented approach:
• Scrum Master & Product Owner: focused on agile methodologies and efficient management of data and digital transformation projects.
• Value Stream Management: focused on process optimization, value identification and workflow improvement.
• Registered Gen AI Practitioner: focused on Generative Artificial Intelligence applied to business, automation and productivity.
Learning is completed with practical bootcamps and labs:
• R Bootcamp: focused on statistical analysis, data processing and the development of analytical models.
• Python Bootcamp: focused on programming, data analysis, automation and practical application in Business Intelligence and Data Analytics environments.
• Artificial Intelligence Bootcamp: focused on exploring AI applications, automation and value generation from data.
• Visualization and reporting labs: to build dashboards, interpret indicators and communicate business results.
• Application of analytics in real cases: focused on solving business challenges through data, professional tools and analytical thinking.
Overall, the program offers a practical, strategic and technological learning experience that prepares professionals to lead Business Intelligence and Data Analytics projects, transform data into decisions and generate value in organizations seeking to compete through a data-driven culture.
Programme overview
Main Subject
Business and Management Studies
Degree
Other
Study Level
Masters
Study Mode
Online
The Master in Business Intelligence & Data Analytics is designed for professionals who want to transform data into strategic knowledge, lead business analytics projects and support decision-making in increasingly digital, competitive and data-driven organizations.
The program stands out for offering comprehensive training in Business Intelligence, Data Analytics, Big Data, data visualization, advanced analytics, cloud, automation and Artificial Intelligence applied to business. Its approach prepares students to design analytical solutions, build dashboards, interpret complex information and turn data into value for the organization.
Through a practical methodology, students develop the skills to manage the full data lifecycle, from integration, preparation and analysis to visualization, communication of results and the application of predictive models. The program connects technology with business strategy, helping students understand how data drives efficiency, innovation and competitiveness.
This program stands out for integrating key skills, tools and technologies to lead Business Intelligence and Data Analytics projects:
• Business Intelligence applied to business, focused on transforming business data into useful information for decision-making.
• Data Analytics and advanced analytics, to identify patterns, interpret results and generate actionable insights.
• Data visualization and dashboards, using tools such as Power BI, Qlik Sense SaaS and Tableau to communicate information clearly and strategically.
• Big Data and cloud analytics, incorporating technologies such as AWS S3, Athena and Glue to understand environments for processing, storing and analyzing large volumes of data.
• Data Science and applied Artificial Intelligence, to explore predictive models, automation, advanced analysis and new ways to generate value from data.
• Analysis and modeling tools, such as Python, R, KNIME, Orange and Ollama, which allow students to work with data, experiment with models and reinforce practical application.
• Analytics project management, focused on coordinating data initiatives, agile methodologies and value generation for the business.
• Data governance and strategic vision, to understand the importance of quality, security, traceability and responsible use of information.
The program includes professional certifications that strengthen its practical and employability-oriented approach:
• Scrum Master & Product Owner: focused on agile methodologies and efficient management of data and digital transformation projects.
• Value Stream Management: focused on process optimization, value identification and workflow improvement.
• Registered Gen AI Practitioner: focused on Generative Artificial Intelligence applied to business, automation and productivity.
Learning is completed with practical bootcamps and labs:
• R Bootcamp: focused on statistical analysis, data processing and the development of analytical models.
• Python Bootcamp: focused on programming, data analysis, automation and practical application in Business Intelligence and Data Analytics environments.
• Artificial Intelligence Bootcamp: focused on exploring AI applications, automation and value generation from data.
• Visualization and reporting labs: to build dashboards, interpret indicators and communicate business results.
• Application of analytics in real cases: focused on solving business challenges through data, professional tools and analytical thinking.
Overall, the program offers a practical, strategic and technological learning experience that prepares professionals to lead Business Intelligence and Data Analytics projects, transform data into decisions and generate value in organizations seeking to compete through a data-driven culture.
Admission Requirements
Tuition fees
Domestic
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
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