Become an Analytics Translator, bridging the technical-business gap, and be the expert in data analytics and AI that companies need to create business impact. Specialize in data analytics and AI applications in finance, marketing, and retail through hands-on projects; make the most of our immersive Capstone projects for real-world experience. Learn Python for data applications, AWS development, and machine learning implementation within multidisciplinary teams. Transform your career with practical skills and industry insights.
Upcoming editions and fees
16 September 2024
Barcelona
In-class
English
September 2024 - July/October 2025
Lead the Data Revolution
Unlock business potential with our MSc in Business Analytics, integrating AI and data to drive value. If you come from a business background, our program provides a deep dive into technical tools such as AI, Cloud computing, and Python programming, empowering you to leverage these technologies effectively. Alternatively, if you come from a technical or scientific background, you'll learn the practical application of these tools within real-world business contexts, enabling you to create significant impact.
Become an Analytics Translator to bridge the gap between technical teams and business management. Benefit from our partnership with AWS for official content, and immerse yourself in hands-on Capstone projects that provide invaluable real-world experience.
You’ll have the opportunity to work with leading global firms and connect directly with some of the biggest employers of data scientists, analysts and managers, such as Amazon, Microsoft, Santander, and Telefónica.
Gain specialist understanding of how big data and data analytics are used in finance, marketing, and retail, and focus on the Fourth industrial revolution.
During intensive, week-long study tours you’ll visit top universities and leading companies around the world. Specialist seminars will give you actionable insights into critical topics.
One of the key strengths of the program is the collaboration between individuals with technical backgrounds and those with management backgrounds. This collaborative environment allows for mutual learning from the practical cases worked on throughout the master.