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The Master in Business Analytics of the Universidad Europea prepares you to take the definitive step in data analysis and be able to develop a DDDM (Data-Driven-Decision-Making) model in all areas of the company. That is, we prepare you to make decisions based on analytics (Big Data & Data Science), becoming the leader that companies seek with the support of a faculty that develops its work in the main players in the industry.
You will become familiar with analytical software and tools such as SQL, Apache Hadoop, Spark, Python, R, Cognos, and Tableau; applying them to real challenges. You will also use analytical techniques through Machine Learning, Artificial Intelligence, Deep Learning, Congnitive Computing and Geolocation.That makes us different?Data-Driven-Decision Making The degree has training from scratch, so you do not need prior knowledge of statistics or programming. You will have a complete and global training, eminently practical applied to decision making based on large amounts of data. Challenge-Based Learning You will learn through real cases using analytical tools such as SQL, Apache Hadoop, Spark, Python, R, Cognos and Tableau. And analytical techniques: Machine Learning, Artificial Intelligence, Deep Learning, Cognitive Computing and Geolocation. Employability You will have the opportunity to have access to a job board and professional internships appropriate to your profile Tech Experience You will master data collection and visualization tools used by companies in their activity, and you will be prepared to respond to business needs.Addressed toThe student's profile is mainly a graduate professional who is currently working in other fields and wishes to deepen and make a qualitative leap in his profession, entering the world of Business Analytics.PracticesThe Master in Business Analytics of the Universidad Europea trains graduates and professionals in the treatment and analysis of data for decision-making in the company. You will receive a totally practical training oriented to its application to the business, where you will delve into real practical cases in the following areas of the company: finance, marketing, logistics, risks, insurance and human resources.
Curriculum Module 1. The importance of data in organizations 32 hours Module 2. Business positioning of Big Data 24 hours Module 3. Technological Foundations in Data Science 72 hours Module 4. Analytical techniques for the Data-Driven-Decision-Maker 72 hours Module 5. Data Visualization and Geolocation 48 hours Know the role of data in organizations, their cycle and their government.The data and its analytics.
Challenges around data.
Data life cycle.
The government of the data.
New business roles for data.
Know the role of Big Data in organizations and its contribution to the business positioning of organizations.Apache Hadoop and its Ecosystem.
Know the basic technological fundamentals of Business Analytics.SQL.
Know the analytical techniques for decision making in Business Analytics.Statistics.
Artificial and Cognitive Intelligence.
Know how to show the data for a correct interpretation.BI tools and data visualization.
Geolocation in R Maps and spatial dependence. Module 6. Digital Analytics 48 hours Module 7. Business Analytics. Functional and sectoral approach. Practical view 72 hours Module 8. Implementation of Business Analytics projects 48 hours Module 9. Legal regulations on data management 32 hours Module 10. Master's Final Project 32 hours Functional and sectoral approach. Practical vision To know the management of data for the positioning of organizations in social networks.Digital Analytics and Tag Manager.
SEO analytics, how to make business decisions.
Social Networks as a source of information.
Paid Media: main business indicators.
Know how to apply a Business Analytics project in different sectors, with a focus on the singularities and challenges of each one.Business Analytics in Finance.
Business Analytics in Logistics.
Business Analytics in Human Resources.
Business Analytics in Marketing.
Business Analytics in Risks and Insurance.
Business Analytics and Cybersecurity.
Learn how a complete Business Analytics project is deployed and executed. Focus on applied methodologies.Business Analytics project management.
Behavioral Economics and Business Analytics.
Know the regulatory and normative framework to apply for the correct development of Business Analytics.The legal and ethical dimension of Big data and Data Analytics.
GDPR data protection.
The quality of the data. Final Master's Project Collaborating CompaniesIn the Master in Business Analytics we have the collaboration of IBM, the largest technology and consulting company in the world. You will also have a wide portfolio of collaborating companies linked to Business Analytics and with professionals from important companies that participate by teaching in the master, bringing the professional reality closer to the student through the analysis of real cases. Some of the entities are:INNOVATES
Gain DynamicsProfessional practicesIt is estimated that in the next 5 years there will be a significant lack of qualified professionals in this discipline in all areas of the company. For this reason, many of the consulting firms that analyze this trend recommend that companies actively seek to establish links with Universities where these programs are taught.
The profile of the Master in Business Analytics of the Universidad Europea trains graduates and professionals in the treatment and analysis of data for decision-making in the company. As a student you will receive a totally practical training oriented to its application to the business, where you will delve into real practical cases in the following areas of the company: finance, marketing, logistics, risks, insurance and human resources.Professional opportunities of the Master in Business AnalyticsThe profile of the graduate of the Master in Business Analytics is a professional with extensive knowledge of various platforms to obtain and manage data and be able to make the best decisions thanks to being based on objective data (Data-Driver-Decision-Maker). Thanks to the preparation oriented to global decision making, you will be able to work in various sectors and industries, since the platform is used in cross-cutting areas both in large multinational companies and in SMEs.
In 2020, the increase in demand for this profile in the United States according to Forbes and IBM will increase from 364,000 to 2,720,000. And in Spain this type of profile job has a growth outlook of approximately 30% and has one of the lowest unemployment rates, around 2%, since the demand from companies and the need to these professionals are increasing faster than the number of professionals available.Admission processThe admission process for the programs of the Universidad Europea Postgraduate School is open throughout the year, although enrollment in any of the programs is subject to the existence of vacancies.
If you want personalized advice from the Postgraduate admissions team, you can go to any of our campuses located in Alcobendas or Villaviciosa de Odón (Madrid), or contact us through:
Telephone (+34) 91 740 72 72 or by e-mail email@example.com
After informing you, you must provide the required documentation:Admission request
Copy of DNI or NIE
Copy of university degree
CVThe admissions team will guide you in your professional future and will arrange an interview with the director of your degree to evaluate your candidacy.Testimonial“Companies are increasingly aware of the importance of data and analytics. The great challenge of the people who are dedicated to this is to be able to transfer that analytics to concrete actions that help decision-making and improve the benefit obtained. "
Carmen Lopez Director of Customer Intelligence, Market Intelligence and Pricing at Makro
“The current and differentiating power of organizations is to have professionals who can combine data and analytics with knowledge of the business, that is the great wealth and requirement for managers of any sector and organization. This master's degree will give you the opportunity to learn how to implement this symbiosis in any organization (Data-Driven-Decision-Making). "
Maria Victoria Rivas Lopez Director of the Master in Business Analytics, Universidad Europea of Madrid