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  • Modality
    On-campus
  • Campus
    Arapiles
  • Duration
    1 Year
  • Language
    English
  • Credits
    60 ECTS
  • Starts on
    APR 2027

Program overview

If you want to lead in an environment where decisions are based on data and personalization, this master's degree is for you. No prior technical knowledge is required: you will build a solid foundation in Data Science and Business Analytics to apply its tools with strategic judgment.

The program includes a differentiating focus: applying Generative Artificial Intelligence to data analysis in business contexts, one of the areas with the greatest growth potential.

You will develop skills to solve problems, interpret results, and communicate conclusions clearly and with critical thinking, training aligned with a market that increasingly demands experts in data and decision-making.

 

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UNIE UNIVERSIDAD S.L will process your personal data to contact you and inform you about the selected program for the next two calls. Your data will be deleted once this information has been provided and/or after the aforementioned calls have passed.

You may exercise your rights of access, erasure, rectification, objection, restriction, and portability by sending a letter to UNIE UNIVERSIDAD S.L - P.O. Box 221, Barcelona, or by emailing [email protected]. Additionally, you may file a complaint with the Spanish Data Protection Agency whenever you consider it appropriate.

You can contact our Data Protection Officer by writing to [email protected] or to Grupo Planeta, Attn: Data Protection Officer, Avda. Diagonal 662-664, 08034 Barcelona .

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Reasons to study our master in business analytics

Turn your passion into your profession. Prepare for the future, grow, and enjoy a unique university experience.

Facultad Educación - aulas 3
Connected to the job market

Start with a competitive edge: real-world learning in collaboration with leading companies.

Mesa de trabajo 3
Immersive, hands-on learning

Simulations, challenges, and projects. Here, theory becomes experience from day one.

Profesor UNIE 2
Faculty of working professionals

Learn from professionals who live the day-to-day reality of their sectors and bring that reality into the classroom.

Prepárate para la profesión y para la vida en UNIE Universidad_4
University life beyond the classroom

An ecosystem of events, networking, culture, and sports for your personal development.

Career Opportunities with a Master's Degree in Business Analytics

Access the positions with the greatest growth potential and demand in today's market.

The career opportunities opened up by the Master's Degree in Business Analytics keep growing. There is enormous demand for data analysts, data scientists, strategy consultants, and business analytics project managers in the following fields:

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    Finance

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    Marketing

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    Consulting

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    NGOs

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    Government agencies

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    Projects with positive social and environmental impact

Entry profile for the Master's in Business Analytics

This master's degree is aimed at professionals or graduates from business-related fields such as:

  • Business Administration and Management
  • Marketing and Communication
  • International Business
  • Business Analytics
  • Economics

Students from degrees outside the business field must complete supplementary coursework.

The program in numbers

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active faculty working in the business and technology sector
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percentage of students who are international
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employer satisfaction with our graduates

Experiential and practical learning

The master's degree will give you practical knowledge and skills through experiential learning, including:

  • Activities focused on solving real business problems.
  • Online masterclasses and workshops.
  • Collaborative projects across different courses to address business problems.
  • Group work to encourage networking.

  • Understanding and applying neural networks and their application to Generative AI (GenAI).
  • Developing machine learning models (supervised and unsupervised learning algorithms) that let you forecast sales, predict customer churn, or segment your customers and define their potential.
  • Understanding and using Artificial Intelligence agents.

We train professionals who, in addition to having a solid technological foundation, are able to understand the business world in order to get the greatest impact from information analysis within a company.

You will learn to design and use analytical tools within a company, such as ERP, CRM, and dashboards. You will also understand how information analysis serves as the basis for a marketing plan or a sales plan.

Throughout the different modules of the curriculum, you will learn the professional tools applied to various areas of analytics, such as Python programming using AI, Big Data, SQL, visualization tools, no-code tools, web and social media analysis, project management and more.

You will have the chance to connect directly with the business world through a faculty made up of working professionals, visits to leading companies in your sector, and key activities such as the Networking Fair, where you'll get advice from talent managers and staff from some of the leading companies in Spain (Telefónica, DHL, Microsoft, Deloitte, KPMG, L'Oréal, and more), attend specialized talks, and have the chance to apply for their job openings.

You will also be able to take on real challenges and hands-on projects designed together with leading companies, preparing you to handle real workplace situations and develop the skills you'll need for your professional future.

A curriculum designed for you

We have updated the syllabus to align it with the latest market trends.

At UNIE you will start by learning the basic fundamentals of Data Science and its management, as well as statistical analysis.

This foundation will serve as a springboard to go deeper into Data Science and explore the workings and application of modeling techniques. You will also develop strong skills in data analysis and interpretation with a statistical approach.

Our program also lets you specialize in different sectors (finance, customer analytics, and the Internet of Things) where Data Science can contribute innovative solutions. The program ends with an external internship and a Master's Thesis.

AsignaturaSemestreTipoECTS
AI-Based Competitive Strategies1Compulsory6
Data Science Applied to Business1Compulsory6
Statistical Analysis to Support Business Decision-Making1Compulsory6
Exploitation, Visualization and Communication of Business Data1Compulsory6
Digital Transformation of Business1Compulsory6
Optimization of Financial Management2Compulsory6
Customer Intelligence2Compulsory6
Smart Management of the Operations Area2Compulsory6
External Internships2Internships6
Master's Thesis2Thesis6
Total credits  60
  1. Some courses in the curriculum may be subject to change.

  2. For elective courses, a minimum number of enrolled students will be required for the course to be offered.

Business Analytics Program Faculty

Redlich Javier García Rojas Director of the Master's Degree in Business Analytics
Redlich Javier García Rojas

Director del Máster en Analítica de Negocios

Jaime Pineda Moreno Data Scientist Healthcare
Jaime Pineda Moreno

Currículum Vitae

Formación Académica
  • 2025: openEHR Development Bootcamp, Medblocks (en curso).
  • 2022: Data Science Bootcamp, IE University, Madrid.
  • 2022: HelloAI Professional RIS Scholarship - AI in Healthcare, EIT Health / GE Healthcare / KTH / LEITAT.
  • 2021: Curso de preparación MIR, Academia CTO.
  • 2016: Medicina, Universidad Cooperativa de Colombia, Medellín.

Experiencia Profesional
  • 2025-actualidad: Profesor colaborador de Ciencia de Datos Aplicada a Negocio, Máster Universitario en Analítica de Negocio, UNIE Universidad.
  • 2025-actualidad: Médico de urgencias en HM Hospitales, Madrid, con actividad en urgencias de adultos y coordinación clínica multidisciplinar.
  • 2023-actualidad: AI/ML Scientific Computing Engineer en Artificial Intelligence Orchestrator, empresa healthtech estadounidense, desarrollando modelos biomédicos, pipelines de datos clínicos e infraestructura FHIR/OMOP.
  • 2022-2023: Chief Information Officer en Preversalud SL, liderando migración de historia clínica electrónica, automatización de flujos y formación del equipo en herramientas digitales.
  • 2022-2023: Fundador de Rizoma Health, iniciativa HealthTech orientada a interoperabilidad clínica con HL7 FHIR, arquitecturas de datos y uso responsable de LLMs sobre información sanitaria.
  • 2021-actualidad: Cofundador de Kairos Health, proyecto de medicina personalizada, longevidad y salud basada en datos.
  • 2016-2019: Médico de urgencias en Clínica Las Vegas / Quirónsalud y Clínica ESIMED, Medellín, Colombia.

Líneas de Investigación
 
  • Inteligencia artificial aplicada a salud, documentación clínica asistida, seguridad del paciente y evaluación de modelos de lenguaje.
  • Interoperabilidad sanitaria: HL7 FHIR, OMOP, openEHR, SNOMED-CT e ICD-10/11.
  • Modelos predictivos con bioseñales y datos clínicos reales.
  • Ciencia de datos aplicada a negocio, docencia práctica y alfabetización analítica.

Otras actividades relevantes
  • 2026: Primer puesto en GenAI Health Hack 2026, Hospital Clínic Barcelona, con EDxPlain, sistema de IA que transforma informes de alta de urgencias en guías comprensibles para pacientes; presentado en 4YFN / MWC Barcelona 2026.
  • 2024: Primer puesto en NOVA Talent Hackathon con PatAInt, demo de inteligencia médica para monitorización cardiovascular remota con FHIR/HL7 y alertas clínicas.
  • 2024-actualidad: Colaboración en WorldMedQA, benchmark multilingüe para evaluar seguridad y equidad de modelos de lenguaje en preguntas médicas, en el ecosistema MIT Critical Data.
  • Cofundador de la Asociación de Médicos Colombianos en España (AMCE).
  • Fundador y presidente de ACEMUCC, asociación científica estudiantil afiliada a ASCEMCOL/IFMSA.

     

Últimas publicaciones recientes
  • EDxPlain: solución de IA para convertir informes de alta de urgencias en guías comprensibles para pacientes, GenAI Health Hack 2026, Hospital Clínic Barcelona.
  • PatAInt: demo de inteligencia médica para monitorización cardiovascular remota, NOVA Talent Hackathon 2024.
  • WorldMedQA: benchmark multilingüe de preguntas médicas para evaluación de seguridad y sesgos en modelos de lenguaje.
  • Coautor: estudio multicéntrico sobre uso de fuentes de información y tecnologías de la información y comunicación (TIC) en universidades de América Latina.
  • Investigador colaborador en estudio retrospectivo sobre infradiagnóstico del síndrome de Jeavons en población de Antioquia, Instituto Neurológico de Colombia.
     
Jairo García Fernández Founder of Zadex
Jairo García Fernández

Currículum Vítae

Formación Académica y Titulaciones

  • Ingeniero Informático por la Universidad Europea de Madrid, con especialización en Inteligencia Artificial.
  • Máster en Consultoría y Gestión Empresarial por la Universidad Politécnica de Madrid.
  • Máster en Digital Business por ISDI.
  • Formación ejecutiva en Big Data e IoT por el MIT School of Engineering.

Experiencia Profesional

  • 2021-Actualidad: Fundador de Zadex, consultora especializada en Gobierno del Dato, Analítica Avanzada y Transformación Digital.
  • 2021-Actualidad: Profesor Asociado en diversas universidades y escuelas de negocio, entre ellas UNIE, EAE, OBS, Universidad Europea y Universidad Alfonso X el Sabio.
  • 2021-2022: Service Delivery Manager LATAM en Stratio.
  • 2017-2021: Senior Manager en EY, liderando proyectos de analítica avanzada, arquitectura tecnológica y transformación digital.
  • 2005-2017: Manager en Atos Consulting, especializado en Analytics y Transformación Digital.

Otras Actividades Relevantes

  • Especialista en Gobierno del Dato, Big Data, Inteligencia Artificial y Transformación Digital.
  • Más de 20 años de experiencia en consultoría tecnológica y gestión de proyectos internacionales.
  • Colaborador habitual en programas formativos relacionados con analítica de datos, sistemas de información y transformación digital.
David Villalba Pérez Co-Founder & Data Scientist at DILIGO Insights
David Villalba Pérez

Currículum Vitae 

Formación Académica 

  • 2017: Grado en Economía. Mención Economía Analítica en la Universidad Complutense de Madrid (UCM)
  • 2019: Máster en Matemáticas aplicadas a la Ciencia de Datos & Big Data en AFI

Experiencia Profesional

  • 2023–actualidad: Co-Founder & Data Scientist en DILIGO Insights
  •  2024-actualidad: Data Scientist Engineer en Artificial Inteligence Orchestrator (AIO)
  • 2024-actualidad: Profesor Marketing Analytics en ICADE
  • 2020-2023: Profesor titular de Machine Learning en MSMK
  • 2021-2023: Director de Consultoría en GAD3
  • 2017-2019: Data Analyst en Departamento Analytics. Experian España

Últimas publicaciones

  • Villalba Pérez, David; Álvarez González, Francisco. 
    Análisis descriptivo y predictivo del uso de la red de Metro de Madrid. Catálogo CISNE UCM. 2018

Join UNIE in 3 steps

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1. Ask for information

Start your admission process by getting in touch with our advisers at [email protected] or call + 34 919 032 201 and they will guide you through the process.

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2. Submit documents

You must provide the required documentation: academic certificate, curriculum vitae, and a letter of motivation. Once you have submitted these documents, the Admissions Committee will assess your application.

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3. Admission and enrolment

If the evaluation is favourable, you will be able to pay the reservation fee to secure your place.

Frequently asked questions about the Master's in Business Analytics

It is a program that trains professionals capable of interpreting large volumes of data and turning them into strategic decisions for companies.

Big Data, advanced statistics, machine learning, visualization tools (such as Power BI or Tableau), AI applied to business and analytics project management.

Because data has become the most valuable asset for strategic decision-making and companies are demanding experts capable of turning information into competitive advantage.

Quantitative analysis, critical thinking, data interpretation, programming skills (Python, R), and leadership in innovation projects.

Professionals in administration, engineering, economics, marketing, or IT who want to specialize in data-driven decision-making.

Yes. As an official master's degree or proprietary qualification adapted to the European Higher Education Area (EHEA), it is recognized both in Europe and abroad.

Python, R, SQL, Power BI, Tableau, Google Analytics, and machine learning platforms applied to business analysis.

Master’s Degree in Business Analytics

April 2027
Llamar +34 919 032 201
Request Information
UNIE UNIVERSIDAD S.L will process your personal data to contact you and inform you about the selected program for the next two calls. Your data will be deleted once this information has been provided and/or after the aforementioned calls have passed.

You may exercise your rights of access, erasure, rectification, objection, restriction, and portability by sending a letter to UNIE UNIVERSIDAD S.L - P.O. Box 221, Barcelona, or by emailing [email protected]. Additionally, you may file a complaint with the Spanish Data Protection Agency whenever you consider it appropriate.

You can contact our Data Protection Officer by writing to [email protected] or to Grupo Planeta, Attn: Data Protection Officer, Avda. Diagonal 662-664, 08034 Barcelona .