Master analytics, artificial intelligence and big data to drive data-driven organisations and lead projects based on real information, not intuition.
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Online Master in Business Analytics
The online Master's degree in Business Analytics is designed to give you a comprehensive overview of the strategic use of data in business decision-making. In addition, the master's degree connects you with the business world through projects and case studies based on real business challenges, preparing you to lead digital transformation and become a key player in data-driven environments.
This is what you will learn in this master's degree:
- Connect data and business to drive evidence-based strategic decisions.
- Master advanced analytics: data extraction, cleaning, storage and visualisation.
- Apply machine learning and artificial intelligence to business strategy.
- Make data-driven decisions, aligning metrics, objectives and results.
- Use key tools such as SQL, Python, Hadoop and Spark.
With a 100% online and flexible methodology, you will study at your own pace, from anywhere, with live classes that are recorded, online exams and final degree projects, and the support of a teaching staff of experts in analytics and business management.
*Title pending a favorable report from the Regional Evaluation Agency, pending verification resolution, authorization for implementation, and approval of official status and registration in the RUCT.
Official degree issued by Universidad Europea de Madrid
| Online with live classes (online exams and online TFM) | Start: October 2026 | 10 months, 60 ECTS | Faculty of Economics, Business and Communication Sciences |
Tools you will use in the Master's degree
Throughout the different modules of the syllabus, you will learn how to use professional tools applied to different fields of analytics: programming, big data, artificial intelligence, visualisation, web and social media, project management, among others.
Learn how to use AI and data to drive various sectors
The programme is multi-sectoral and includes training in Generative AI and Agent-based AI. You will be at the forefront of AI applications in sectors such as e-health, finance, marketing and telecommunications, improving decision-making, efficiency and profitability.
Here are some examples of how AI and data analysis can help in different sectors:
Health: disease prediction and hospital resource optimisation.
Finance: credit analysis (predictive scoring) or customer portfolio management.
Marketing: segmentation and personalisation. Campaign analysis to generate higher ROI.
Business: sales forecasting or identification of market opportunities.
Logistics: route optimisation and improved supply chain management.
Risks: assessment and mitigation of operational risks and scenario simulation.
Insurance: accident modelling and premium adjustment, or fraud detection.
Telecommunications: churn reduction and network optimisation.
Human resources: performance and retention analysis, and recruitment optimisation.
Salomea María Stepien Slomba
Syllabus for the online Master's degree in Business Analytics
Train to be a data leader of the future
In the online Master's degree in Business Analytics, you will develop a data-driven strategic vision, acquiring the necessary competencies to transform information into decisions that drive business growth.
This Master's degree prepares you to tackle complex challenges, optimise processes and lead teams with an analytical approach, combining practice and a global perspective to set yourself apart in an ever-evolving job market.
Syllabus structure
FIRST YEAR
| Subject | ECTS | Type | Language of instruction |
|---|---|---|---|
| Data-Driven Organisations and Business Transformation | 6 | Compulsory | Spanish (ES) |
| Data Analysis-Oriented Programming | 6 | Compulsory | Spanish (ES) |
| Data Analytics | 6 | Compulsory | Spanish (ES) |
| Big Data and Cloud | 6 | Compulsory | Spanish (ES) |
| Artificial Intelligence | 6 | Compulsory | Spanish (ES) |
| Marketing and Customer Analytics | 6 | Compulsory | Spanish (ES) |
| Business Intelligence and Sector Applications | 6 | Compulsory | Spanish (ES) |
| Business Analytics Project Management | 6 | Compulsory | Spanish (ES) |
| Academic Externships | 6 | Compulsory | Spanish (ES) |
| Master's Dissertation | 6 | Compulsory | Spanish (ES) |
What you will learn semester by semester
1
First term
In your first term, you will acquire the core competencies to interpret and transform data into strategic decisions within organisations.
- Fundamentals of Business Analytics: you will learn the key concepts of business analytics and their application to generate value in companies.
- Applied Statistics and Data Analysis: you will learn how to collect, process and analyse data to identify relevant patterns and trends.
- Programming for analytics (Python and R): you will master essential programming tools for manipulating data and automating analytical processes.
- Databases and SQL: you will manage large volumes of information, creating efficient queries to obtain actionable insights.
- Data visualisation and communication: you will learn to present results clearly and persuasively, supporting strategic decision-making.
2
Second term
In your Second Term, you will apply advanced analytical techniques to make data-driven strategic decisions and lead projects that transform the organisation. You will also participate in academic internships.
- Machine learning and predictive models: you will develop models that anticipate behaviours and trends to improve decision-making.
- Big Data and advanced technologies: you will learn to manage and process large volumes of information using platforms such as Hadoop and Spark.
- Business Intelligence and applied analytics: you will transform data into strategic insights that optimise business processes and performance.
- Business Analytics capstone project: you will apply everything you have learned in a real project, combining data analysis, advanced tools and strategic decisions.
Internships in Business Analytics departments
This online Master's degree in Business Analytics includes compulsory internships in the Syllabus. However, if you wish, you can also do extracurricular internships in leading companies, such as:
More information
Online exams and final master's project
This master's degree is 100% online. You will be able to take the exams and complete the Master's Thesis online.
Timetable for the introduction of the degree
Academic year 2018-19
Academic calendar
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Career opportunities for the online Master's degree in Business Analytics
This distance learning Master's degree in Business Analytics offers great career prospects, as the demand for these professionals is growing faster than the number of professionals available.
The World Economic Forum's global employment report identifies that the roles of "Big Data Specialists" and "AI & Machine Learning Specialists" will be among the fastest growing profiles between now and 2030.
You will be prepared to fill any of the following positions:
- Chief Data Officer (CDO).
- Big Data Consultant.
- Digital Transformation Expert.
- Project Management for Data Analytics.
- Business Development Expert.
- Big Data Specialist.
- AI & Machine Learning Specialists.
- Digital Strategy and Business Consultant.
- Digital Analytics Consultant.
What is the online methodology like?
Flexible
Live online classes that you can connect to from anywhere and any device.
Accessible
You will have the support of our expert teachers who will facilitate your learning, as well as a 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. You will also have access to the library, a community area where you can connect with other students, and 24-hour support.
Our story, your future
With over 30 years of experience, we empower professionals to build the future they deserve. Through a global, collaborative, and forward-thinking approach, we help you strengthen your adaptability, embrace change, and thrive in a dynamic job market.
Our educational model
At Universidad Europea we are committed to learning that prepares you for the needs of the professional world. Thanks to our methodology you will be able to acquire the knowledge, skills, abilities and competencies that facilitate maximum employability in a global world.
Experiential learning
The student learns by doing, without action there is no learning. You will put into practice the knowledge you have learned through our virtual campus and the online tools we make available to you.
Meaningful learning
The teacher relates the knowledge, skills and previous experiences to the interests, expectations and cognitive characteristics of the students.
Collaborative learning
The students "learn together", so they are motivated not just by their own learning but to increase the achievements of others, forming a social and academic learning experience.
Professional Learning
The teacher acts as an advisor and as a guide of the learning towards a professional application.
Constructive and discovery learning
Students investigate and explore concepts. This allows you to build cognitive structures by comparing, relating and reorganising new concepts with those you have already dealt with.
Autonomous Learning
The teacher encourages the students to learn for themselves, developing self-learning. The student is understood as an active and cooperative agent, protagonist of their own education.
Individualized learning
The teacher is sensitive to the diversity and different learning styles of the students, adjusting the training activities to suit their needs.
Creative learning
The development of creativity and initiative allows knowledge to be perceived as open, unfinished, something which can always be redefined and understood from other points of view.
Access
Recommended profile
The student profile is mainly that of a graduate professional who is currently working in other fields and wishes to further their knowledge and take a qualitative leap in their profession by entering the world of Business Analytics. In some cases, they are professionals seeking to obtain a Master's degree and certifications in order to change companies or sectors, as well as to obtain new positions within their company.
Likewise, our students are recent graduates who want to delve deeper into the field of Business Analytics and improve their position in the job market through the Master's degree and professional certifications we offer. Developing unique and highly sought-after skills for the current and future business environment.
Admission requirements
To be admitted to the master's degree, students must meet the legal requirements set out in Royal Decree 822/2021:
- Possession of an official Spanish university degree or equivalent is a prerequisite for admission to a Master's degree programme, or, where applicable, possession of another Master's degree or qualifications of the same level as the Spanish Bachelor's or Master's degree issued by universities and higher education institutions in an EHEA country that allows access to Master's degree studies in that country.
- Similarly, persons holding degrees from education systems that are not part of the EHEA, which are equivalent to a Bachelor's degree, may be admitted to a Master's degree programme in the Spanish university system without the need for official accreditation of the degree, but subject to verification by the university of the level of training involved, provided that the country where the degree was issued allows access to postgraduate studies. Under no circumstances shall admission via this route imply the accreditation of the previous Degree held by the interested party or its recognition for purposes other than that of undertaking the Master's degree.
- Non-Spanish-speaking students studying the degree in English must demonstrate a B2 level of language proficiency according to the Common European Framework of Reference for Languages.
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 (B2 level).
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 team of teachers with experience in the sector and active professionals:
Our teaching staff
- 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.
Educational quality endorsed by international rankings
5 stars in QS Star Rating
We are the first private university to obtain 5 stars in 10 categories of the QS Stars Rating System.
Times Higher Education
Ranked among the top 5 universities in Spain for international outlook and research excellence.
Ranking El Mundo
Ranked among the top 5 private universities in Spain, according to El Mundo.
Frequently asked questions
What is an online Master's degree in Business Analytics?
The online Master's degree in Business Analytics from the European University will enable you to lead the data-driven strategy your organisation needs in the future, connecting data with technical and business processes.
What does a Business Data Analyst do?
A Business Data Analyst is a data analytics professional with a broad business vision. Their main function is to perform business analysis with perspective, profiling and designing data architecture.
What is the difference between a Big Data Analyst and a Business Analyst?
Big data is a key tool for identifying new business opportunities and market strategies. Therefore, a Big Data Analyst is usually an engineer who works with organised and unorganised data from various sources, while a Business Analyst is usually someone who works directly with the team in charge of business strategy.
Does the European University's online Master's degree in Business Analytics include an internship?
Internships for the European University's online Master's degree in Business Analytics are electives.