Master in Business Analytics and Business Intelligence

Module 1 - Data-driven organizations and business transformation (6 ECTS)

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

Module 2 - Programming oriented to data analysis (6 ECTS)

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

Module 3 - Data Analytics (9 ECTS)

• Tools: PowerBI
• Applied statistics and predictive modeling.
• Descriptive, predictive and prescriptive models.
• Exploratory analysis.
• Clustering, regression, time series and machine learning.
• Optimization and decision models.
• Visualization and communication of insights.

Module 4 - Big Data and Cloud (6 ECTS)

• Tools: Azure, AWS and Google Cloud
• Big data fundamentals 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.

Module 5 - Artificial Intelligence (6 ECTS)

• Artificial intelligence tools
• Generative artificial intelligence.
• Neural networks and deep learning.
• Natural language processing (NLP).
• Computer vision.
• Recommender systems.

Module 6 - Marketing and customer analytics (6 ECTS)

• Tools: Google Analytics, Power BI and Hootsuite (or similar)
• Customer insights and segmentation based on data.
• Analytics in digital channels and social networks.
• Behavioral analysis in websites and e-commerce.
• Personalization and content recommendation.
• Customer experience (CX) Analytics.

Module 7 - Business intelligence and sectorial applications (9 ECTS)

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

Module 8 - Business analytics project management (6 ECTS)

• Tools: Microsoft Project, Asana and Jira.
• Planning and management of business analytics projects.
• Evaluation and control of analytical projects.
• PMI and agile methodologies.
• Team and people management.
• Legal perspective, ethics and privacy.
• Documentation and communication of project results.

Module 9 - Final Master’s Project. (6 ECTS)

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.

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.