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máster en business analytics online
The best Private Master's Degree in Business Analytics in Spain, according to the Ranking of Postgraduate World 2025

Private Master`s Degree in Business Analytics Online

The Master's degree in Business Analytics has been designed to meet the market's need for 360º profiles with technical knowledge of data mining and working with data as well as business vision and data-driven models, capable of understanding, working with and interpreting data from multiple sources.

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Online

Online Masters in Business Analytics

The Online Master’s in Business Analytics is designed to equip professionals with the skills and tools needed to work with, analyse, visualise, and apply data effectively. The aim is to help you enhance both your analytical capabilities and business acumen—transforming data into a genuine competitive advantage.

This programme takes a unique approach, guiding you through the key processes and tools that connect data to business strategy. You will explore everything from the technical foundations of data handling—such as extraction, cleaning, and storage—to the implementation of data-driven strategies using visualisation, machine learning, and AI.

Throughout the course, you will learn how to analyse large datasets and develop the ability to ask the right questions. You will be trained to translate analytical insights into strategic decisions tailored to each department and stage of implementation. Your decision-making will be grounded in data, metrics, and evidence, ensuring alignment with business objectives and key results.

By the end of the programme, you will be proficient in leading data tools and technologies including SQL, R, Python, Hadoop, and Spark. You will be capable of building Data-Driven Decision-Making (DDDM) models across various industries and organisational functions, using Big Data, AI, Machine Learning, and Data Science. You will graduate as a data-savvy professional with a clear understanding of how analytics drive business strategy and innovation.

Private degree issued by Universidad Europea de Madrid

Online with live classes (online exams and online TFM)
Classes in English
Start: 27 oct. 2025
10 months, 60 ECTS Faculty of Economics, Business and Communication Sciences

Why choose our Online Master's in Business Analytics?

Train in a profession of the present and future. Companies from all industries and sectors urgently demand profiles capable of interpreting their data and boosting their business growth. ​

  • You will have direct contact with working professionals. The teaching staff is made up of professionals who are currently working in the fields of Data, Big Data, AI and Business Analytics in companies such as AXA Seguros, Makro, Microsoft, SAS, Caixabank and Mutua Madrileña.
  • You will learn to work with tools and software such as: SQL, Power BI, SAS, BigML, Apache Hadoop, Spark, Python, R and Tableau.
  • Project Based Learning. You will be trained by practicing, through real cases of first level multinationals, using analytical techniques through Machine Learning, Artificial Intelligence, Deep Learning, Cognitive Computing and Geolocation.
  • It is the only programme on the market, in which you will work from zero in the technical part and work with data up to the application of business intelligence and business strategy

94%

Importance of the data

94% of companies say data and analytics are important to the growth and digital transformation of their business, according to MicroStrategy.

58%

Leadership role

58% of companies have already hired a Chief Data Officer and 23% say they are considering creating the position, according to MicroStrategy.

90%

Employability Rate

65% of organisations plan to increase their investment in technology and hiring in the field of data analytics, according to MicroStrategy.

Onboarding year: "Python".

Before the start of the classes you will have access to CISCO's "Python Fundamentals" course, which will allow you to improve your onboarding to the online methodology by becoming familiar with the campus, as well as to refresh concepts if you come from the technical field or to start programming if you come from the business field, which will help you to improve your level and adapt to the pace of work and use of platforms throughout the programme.

Tools that you will use on the master's degree

Syllabus

  • Business transformation strategies.
  • Disruptive technologies and their impact on business.
  • Data management and technology.
  • Data analysis for strategic decision-making.
  • Implementation and change management.
  • Innovation and digital transformation in organisations.

  • Fundamentals of Python programming for data analytics.
  • SQL and relational database management.
  • Data manipulation and cleaning with Python.
  • Automation and ETL processes.

Tools: PowerBI

  • Applied statistics and predictive modelling.
  • Descriptive, predictive and prescriptive models.
  • Exploratory analysis.
  • Clustering, regression, time series and machine learning.
  • Optimisation and decision models.
  • Visualisation and communication of insights.

Tools: Azure, AWS and Google Cloud

  • Fundamentals of big data and data architecture.
  • Big data platforms and tools.
  • Data lakes and data warehousing in the cloud.
  • Cloud tools for big data.
  • Security and governance in big data environments.

IAG Tools

  • Generative artificial intelligence.
  • Neural networks and deep learning.
  • Natural Language Processing (NLP).
  • Computer vision.
  • Recommender systems.

Tools: Google Analytics, Power BI and Hootsuite (or similar)

  • Customer insights and data-driven segmentation.
  • Analytics in digital channels and social networks.
  • Behavioural analysis on websites and e-commerce.
  • Contents personalisation and recommendation.
  • Customer experience (CX) analytics

  • Business intelligence and decision-making.
  • Financial and insurance analytics.
  • Telecommunications and energy: network analysis and resource optimisation.
  • Distribution and logistics: supply chain analytics.
  • Health and patient care: healthcare analytics.

Tools: Microsoft Project, Asana and Jira.

  • Project planning and Management Board in business analytics.
  • Assessment and monitoring of analytical projects.
  • PMI Methodological and agile methodologies.
  • Team and people management.
  • Legal Affairs, ethics and privacy.
  • Documentation and communication of project results.

This Master's degree is 100% online. You will be able to take the exams and the TFM online.

Academic year 2018-19

How does the online methodology work?

Flexibility

Live virtual classes that you can connect to from any place and device.​​

Support

You will have the support of our expert teachers who will facilitate your learning, as well as an accompanying tutor who will guide you and help you achieve your goals.​​

Functional

The virtual campus will be your learning platform where you will find the subjects you are going to study. In addition, you will have access to the library, a community area where you can contact other students and 24-hour assistance.​

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Access

The student profile is mainly a professional graduate who is currently working in other fields and wishes to deepen and take a qualitative leap in their profession, entering the world of business analytics. In some cases they are professionals who are looking to obtain a master's degree and certifications to change companies or sectors, as well as to obtain new positions within their company .

In addition, our students are recent graduates who want to delve deeper into the field of Business Analytics and improve their position in the labour market through the Master's degree and professional certifications we offer. Developing unique Competencies that are in high demand for the current and future business environment.

To access the Master's degree in Business Analytics Training it is necessary to fulfil one of the following REQUIREMENTS:

  • Hold a Bachelor's Degree university qualification. In the case of a university qualification from a foreign education system, the accreditation of your Bachelor's Degree is not required.
  • To have accredited professional experience, according to the specifications of each professional field, which guarantees the achievement of the Competencies of the access profile in the field of the activities of the Degree.
  • Advanced Vocational Training (VET) Graduates who can accredit professional experience after completion of the internship.

In all cases, the University may restrict access to certain degrees if a specific university degree has not been taken beforehand.

Admissions process

The admission process to pursue an online undergraduate or postgraduate certificate at Universidad Europea can be carried out throughout the year, although enrolment on any of our programmes is subject to availability. In order to complete the process, follow these simple steps:

1

Documentation

You will need to send the specific documentation to your personal advisor

  • Admissions form.
  • Legal document required for accessing the programme
  • Photocopy of your ID.
  • Curriculum vitae.

2

Admissions test

Once your documentation has been reviewed, your personal advisor will contact you.

  • Competency assessment test.
  • Personal interview.
  • Language assessment test (if applicable).

3

Reserving a place

Formalising the reservation of a place through our different methods of payment

  • Direct debit.
  • Credit card.
  • Online payment.

Teaching staff

The teaching staff of the Master's degree in Business Analytics is made up of a teaching team with experience in the sector and active professionals:

  • Edgar Cotte
    Edgar is a Customer Engineer (CE) at Microsoft in the Data and AI Field, specialising in advanced analytics products such as Power BI, Synapse, Databricks, Data Lake, Data Factory, among others. With experience as a consultant in companies such as EY and Unisys in data analytics and big data projects, and previous background as a database and IT systems administrator.
  • Carlos Nieto
    Professional with 20 years of experience in the banking sector working in the area of financial risks of CaixaBank, I also have experience in the Field of business having been business manager, SMEs and Insurance Banking. I have several Postgraduate programs such as the Master's Degree in Business Analytics and Master's Degree in Fintech and Blockchain by the UNIVERSIDAD EUROPEA DE MADRID. I also have expert courses in Advanced Program in Bigdata and Visual Analytics by the CEU Iam Business School, certified expert in financial advice (MIFID) by the Spanish Institute of Financial Analysts, Specialist in Banking and Financial Advice by the CUNEF and expert in International Trade Management Board by the Chamber of Commerce of Madrid among others.
  • Xosé Manuel Vilán
    Insurance actuary and engineer. Trained in Forestry Engineering and Actuarial Sciences, he has participated in various projects for the General State Administration and in R&D&I projects for the General Management Board of Water for twelve years. He is currently Head of the Field of Personal Products at Ges Seguros y Reaseguros, S.A. In his professional career as an engineer he has given Training in Geographic Information Systems and has developed multiple projects whose main component has been spatial information and statistics, the development of map servers and geocoding. He has collaborated with the Carlos III University of Madrid in the project "Advanced pricing model for home insurance in the perimeter of multi-assistance data" and has obtained the ICEA award for the best TFM for his work on "Geospatial models in the home insurance sector".
  • Valentín Ramírez
    PhD in Mathematics in the field of Dynamical Systems and Data Scientist. Expert in mathematical modelling, researcher with publications in the field of differential equations. As Data Scientist, specialist in the identification of customer risk patterns in both the banking and consumer credit sectors, with experience in the development of scoring models of admission, PD (probability of default) of the customer portfolio and others for the calculation of bank provisions.
  • Gonzalo Muelas
    Gonzalo specialises in providing legal advice on intellectual and industrial property matters, as well as data protection. His main fields of expertise include, among others, the following: E-commerce and other areas related to Communication law and new technologies.
  • Rocío Catalá
    Since joining PwC Tax & Legal in 2015, I have developed my professional career in the International Restructuring - Corporate - M&A area. Since 2019 I am part of the New Law Department of PwC which has provided me with extensive experience in the parameterisation and integration of new technologies, management and automation of processes for the development and implementation of solutions and tools for the digitisation of the legal function.
  • Jorge Elizaga
    Credit Risk Director with 20 years of experience in Banking. Training as a Mathematician with Postgraduate studies in Quantitative Finance , Quantitative Risk Management and Data Scientist. I am currently enjoying the transformation that Credit Risk Management is undergoing, where new methods of information analysis allow the development of methodologies so far unexploited within the new Big Data environment. In this new environment, I consider it especially relevant to have a solid statistical knowledge base for the analyst, which allows him/her to properly interpret the results of the new analysis techniques.
  • Patxi Fontalba
    Strategist and Operations Director of TTANDEM DIGITAL STUDIO. More than two decades dedicated to web development and digital marketing, starting businesses since 1998. Specialist in personal and team productivity. I advise companies in B2B and B2C environments to improve their digital marketing strategies in a planned and lasting way, to increase their business opportunities and boost their brands. Tools, few: Semrush, Google Analytics and MS Excel.
  • Gabriela Albertoni
    A born communicator and traveller, she has worked as a journalist and producer in several countries and for some years now she has been researching effective ways to generate and disseminate high quality content on the web. She has worked in Digital Marketing for Zankyou Weddings, Clima Tiempo, among other companies. Currently, she works as Social Media Strategist for the agency "Enciende Marketing", a project she has with two partners to create quality strategies for conscious businesses, linked to the world of personal development and collaborates with other marketing agencies such as OptimiSEM, and MKParadise.
  • Andrés González García
    Andrés González García is an engineer specialised in Machine Learning. He was co-founder and CTO of Cleverdata.io, where he developed Machine Learning projects in different business sectors: industry, insurance, banking, publishing, NGOs, retail and hospitality among others. Engineer and Machine Learning Architect certified by BigML. Member of the scientific committee of Eticas Foundation.
  • Álvaro Vállega Moreno
    Computer Engineer by the University of Alcalá (UAH) and Master's degree in Cybersecurity by the Open University of Catalonia (UOC), he currently works as a threat intelligence analyst, focused on the collection and analysis of data on current and potential attacks and threats that may pose a risk to the security of an organisation or its assets.He has the Certified Ethical Hacker practical and has worked as a pentester for companies and consultancies in the country, he has taught Cyberintelligence and Ethical Hacking in different universities, he has also been a speaker at events and workshops on cybersecurity.
  • Francisco Retuerta de Lara
    Agile Coach since 2006. Software engineer mainly focused on project management, requirements gathering and problem analysis/modelling. He has worked in the technology industry where he has developed a strong analytical Skill and a great ability to break down complex problems and propose several solutions for them.

Academic Quality

As part of its strategy, the University has an internal quality plan whose objective is to promote a culture of quality and continuous improvement, and which allows it to face future challenges with the maximum guarantee of success. In this way, it is committed to promoting the achievement of external recognitions and accreditations, both nationally and internationally; the measurement and analysis of results; simplification in management; and the relationship with the external regulator.

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Frequently Asked Questions

A data analyst's primary role is to understand the data available within the company, organizing and processing it using tools like SQL, Hadoop, Spark, Python, R, Tableau, etc., to extract relevant information that improves business decision-making.

Business Analytics involves collecting, structuring, and analyzing data within a company's systems using various Big Data analytics technologies. The goal is to gather relevant information that enables the organization to optimize business decision-making.

Students will learn to use professional tools applied to various areas of analytics, including programming, big data, artificial intelligence, visualization, web and social networks, and project management. Specific tools include Python, SQL, Power BI, Azure, AWS, Google Cloud, and more.

Graduates can pursue roles such as Analyst and Consultant, Data Scientist, Business Intelligence Analyst, Project Manager, Business Manager, and Chief Data Officer (CDO).

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