About this program
Private Master's Degree 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.
Admission requirements
For more information about admission requirements, please visit the university website.
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Learn moreProgram content
Module I: The importance of data in organisations.
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.
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.
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.
Module VI: Data visualisation and geolocation.
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.
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.
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.
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.
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.
- Final Master’s Project.
Scholarships & funding
Several scholarship options are available. Please check the university website for more information.
Tuition
Tuition Fee: € 12,900.00
Qualification
Credits: 60 ECTS
Career paths
- Analyst and Consultant
- Data Scientist
- Business Intelligence Analyst
- Project Manager
- Business Manager
- Chief Data Officer (CDO)
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About this institute
Universidad Europea, with four campuses in Spain, two in Madrid, located at Villaviciosa de Odón and Alcobendas; one in Valencia and, another in the Canary Islands at La Orotava, is an innovative institution geared towards adding value to society and...
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