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Private Master's Degree in Business Analytics Madrid

A unique, professional and practical master’s degree focused on business decisionmaking based on data analytics.

-20% ¡Descuento en reserva de plaza hasta el 30 de noviembre!

Master in Business Analytics

A Master in Business Analytics focuses on studying the process of collecting, structuring and analysing the data available within a company, with the aim of optimising decision making. Students will learn how to use different tools for processing, analysing and visualising data, which will equip them with the necessary knowledge and skills to enable them to make data-driven decisions.

With the high-value technological knowledge and leadership skills that you’ll gain from the Master in Business Analytics, when you graduate you’ll be a professional with an in-depth knowledge of how to obtain and manage data, enabling you to take the best business decisions.

Private degree issued by Universidad Europea de Madrid
Campus-based
Alcobendas 9 months, 60 ECTS
Start: 18 oct. 2024
Faculty of Economics, Business and Communication Sciences

Why study for a Master in Business Analytics?

Experiential learning

You’ll learn through studying real-life cases from top multinationals, using analytical tools such as:

  • SQL.
  • Spark.
  • Python.
  • Tableau.

You’ll also be using analytical techniques based on:

  • Machine Learning.
  • Artificial Intelligence.
  • Deep Learning.
  • Cognitive Computing and Geolocation.
Data-Driven Decision-Making

The Master in Business Analytics starts your training from scratch. You’ll receive comprehensive global training that's highly practical and applicable to decision-making based on large amounts of data.

Data-driven decision making gives companies the ability to generate real-time insights and predictions to optimise performance. In this way, the success of different strategies can be tested, and informed business decisions made to achieve sustainable growth.

Tech experience

Our faculty is made up of professionals who are currently working in the field of data and business analytics in companies such as AXA Seguros, Makro and Mutua Madrileña, guaranteeing training that’s based on real-life experiences, and is always up to date with the latest trends and technologies.

Employability

The Master in Business Analytics has a 90% employment success rate.

You will have the opportunity to access a job bank and internships suited to your profile.

According to data compiled by MicroStrategy, 94% of companies say data and analytics are important for the growth and digital transformation of their businesses; 65% of organisations plan to increase their investment in technology and the recruitment of data analytics professionals. And 58% of companies have already hired a Chief Data Officer and 23% are considering creating the position.

The high-value technological knowledge and leadership skills you'll gain from the Master in Business Analytics at the Universidad Europea will enable you to apply for positions such as:

  • Analyst and Consultant
  • Data Scientist
  • Business Intelligence Analyst
  • Project Manager
  • Business Manager
  • Chief Data Officer (CDO)

Boost your career by studying in Spain!

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Testimonials

Comillas
ComillasCompanies are increasingly aware of the importance of data and analytics. The great challenge for those of us working in this field is to be able to translate those analyses into specific actions that support decision-making and increase profit.

Carmen López

Customer Intelligence, Market Intelligence and Pricing Director at Makro

Comillas
ComillasHaving professionals who can combine data and analytics with a knowledge of the business is currently a powerful differentiating factor for organisations.

Rafael Muñoz Gil

Director of the Master in Business Analytics, and Master in FinTech & Blockchain programmes at the Universidad Europea de Madrid.

Tools

Study plan

Module I: The importance of data in organisations. (24 hours)

Understand the role of data in organisations, the data life cycle and data governance.

  • Data and its analytics.
  • The data-driven company.
  • Data challenges.
  • Data life cycle.
  • Data governance.
  • New roles for data in business.

Module II: Big Data: sources, collection and mass management of data. (32 hours)

Understand the role of Big Data within organisations, and its contribution to business positioning.

  • Apache Hadoop and its ecosystem.
  • Apache Spark.
  • Apache Hive.
  • Stream Computing.

Module III: Technological foundations in data science. (96 hours)

Learn about the basic technological foundations of business analytics.

  • SQL.
  • Python.
  • R.

Module IV: Current legal perspective regarding data. Trends. (32 hours)

Understand the regulatory and policy framework applicable to the correct application of business analytics.

  • The legal and ethical aspects of Big Data and data analytics.
  • GDPR data protection.
  • Data quality.

Module V: Statistics and machine learning. (24 hours)

Module VI: Data visualisation and geolocation. (48 hours)

Understand how data should be presented so that it can be correctly interpreted.

  • BI and data visualisation tools.
  • Geolocation in R Maps and spatial dependency.

Module VII: Digital analytics. (48 hours)

Functional and sectoral approach. Practical vision: understand data management to position organisations on social media.

  • Digital analytics and Tag Manager.
  • SEO analytics, how to make business decisions.
  • Social media as a source of information.
  • Paid Media: key business indicators.

Module VIII: Analytical techniques for data-driven decision making. (72 hours)

Understand analytical techniques for decision making in business analytics.

  • Statistics.
  • Artificial Intelligence and cognitive computing.
  • Machine Learning.
  • Deep Learning.

Module IX: Business analytics. Functional and sectoral approach. Practical vision. (48 hours)

Learn how to implement a business analytics project in different sectors, focusing on the unique features and challenges of each.

  • Business Analytics in Finance.
  • Business Analytics in Logistics.
  • Business Analytics in CRM (Salesforce).
  • Business Analytics in Human Resources.
  • Business Analytics in Marketing.
  • Business Analytics in Risk and Insurance.
  • Business Analytics and Cybersecurity.

Module X: Decision making in Business Analytics. (24 hours)

Gain an understanding of how to fully deploy a business analytics project. Focus on applied methodologies.

  • Business analytics project management.
  • Behavioural economics and business analytics.
  • Agile Methodologies.

Module XI: Final Master’s Project. (32 hours)

  • Final Master’s Project.

It is estimated that over the next five years there will be a significant shortage of qualified professionals in this discipline in all areas of business. For this reason, many of the consultancies working on analysing this trend recommend that companies actively seek to establish links with universities where these programmes are taught.

The Universidad Europea's Master in Business Analytics trains graduates and professionals in data processing and analysis to support business decision-making. You'll receive training that's 100% practical and business-oriented, where you'll explore real-life case studies in the following areas: finance, marketing, logistics, risk, insurance and human resources.

Professional Internships

Internships are a key element of your training. Gaining experience after learning skills during your degree is the best way to enter the job market. There are two types of internships: curricular (included in your curriculum) and extracurricular (which you can do on a voluntary basis).

To take part in curricular internships in companies, you must have passed 50% of the credits and enrolled for the subject before starting the internship. These internships are conducted with monitoring by the company and by the internship professor, as well as intermediate and final assessment reports.

If you want to gain more work experience before finishing your university training, you can complete extracurricular internships. You may complete an extracurricular internship during any academic year, but remember that internships are complementary to your studies, so the more knowledge you have acquired over the course of your degree programme, the better you will be able to benefit from your internship experience.

Employability

Professional Opportunities Offered by the Master's Degree

  • Analyst and Consultant
  • Data Scientist
  • Business Intelligence Analyst
  • Project Manager
  • Business Manager
  • Chief Data Officer (CDO)

On the Master in Business Analytics programme we have an extensive portfolio of partner companies with links to business analytics, and professionals from major companies who are involved in teaching on the master's degree, bringing the student closer to professional realities through the analysis of real-life cases. Some of these are:

  • INNOVA.
  • DataCentric.
  • Gain Dynamics.

Admissions

Start your future at Universidad Europea

You can become a student at Universidad Europea in three easy steps.

1

Admission exams

Start your admission process by calling +34 917407272 or request information and our advisors will contact you.

2

Place reservation

Once you have been admitted, secure your place by paying the reservation fee.

3

Enrolment

Submit the required documents to formalise your enrolment.

Scholarships and Grants

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We want to help you. If you choose to study at Universidad Europea, you will have the opportunity to apply for a wide range of UE and official scholarships.

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Any professional interested in developing exceptional skills that are in high demand in the business environments of today and of the future. Students on the master’s programme are:

  • Graduate professionals who would like to deepen their knowledge and take a qualitative leap in their profession by entering the world of business analytics. In some cases, they may be professionals looking to obtain a master's degree and certifications in order to change company or sector, or to move into a new position in the firm they're currently working for.
  • Others are recent graduates who want to delve deeper into the field of business analytics and improve their positioning on the job market by completing the master's degree and obtaining the professional certifications that we offer.

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

Business Analytics is the discipline that focuses on collecting, structuring and analysing the data available within a company's systems through the use of different Big Data analytics technologies, with the aim of gathering relevant information that allows the organisation to optimise business decision-making.

A data analyst's main function is to gain an understanding of the data available within the company, organising and processing it by using different processing, analysis and visualisation tools such as SQL, Hadoop, Spark, Python, R, Tableau, etc., extracting relevant information to improve business decision making.

Wondering how you can become a data analyst? The Universidad Europea’s Master in Business Analytics will enable you to acquire the necessary knowledge on data processing, analysis and visualisation tools that will allow you to become a data analyst. To do so, all you need is to hold an officially recognised post-graduate qualification.

At the Universidad Europea you’ll be able to train as a data analyst, with an eminently practical programme led by professors with extensive experience in the field of business analytics, acquiring a knowledge of the key market tools used to process, analyse and view data such as SQL, Hadoop, Spark, Python, R, and Tableau. Furthermore, once you’ve acquired the necessary knowledge, you‘ll be able to do professional internships that allow you to put into practice the knowledge you have gained.