AI isn't just a subject at Esade. It's the foundation of the MSc in Business Analytics. Build an AI-first mindset, develop in-demand technical skills, and learn to turn data into business impact.
Designed for STEM & Business graduates: Upskill for high-impact analytics and AI roles.
Strong Technical Foundation: Master Python, AI, cloud computing, and data modeling.
AWS Partnership: Access industry-leading cloud tools and resources.
AI-First Curriculum: Core AI courses plus electives such as MLOps and AI in Banking.
Hands-On Learning: Apply your skills through capstones, real projects, and hackathons.
Why AI-First?
Master the AI Ecosystem, Not Just the Tools
Data and AI are transforming every industry. The real challenge is knowing how to turn technology into business impact.
At Esade, we take an AI-first approach, helping you understand the broader AI ecosystem and build the technical and strategic skills that matter most.
The MSc in Business Analytics goes beyond learning software. You'll develop a strong foundation in AI, data, and technology while learning to transform complex information into business decisions and innovation.
Academic Curriculum & AI Integration
Inside Esade’s AI Academic Architecture
Our curriculum balances rigorous technical foundations with cutting-edge specialized applications, ensuring you graduate ready for tech-driven leadership.
Core Mandatory AI Courses
AI 1 & AI 2: Build comprehensive expertise in artificial intelligence fundamentals, algorithmic structures, and practical models.
Competing with AI: Strategic frameworks to leverage AI capabilities for corporate competitive advantage and market disruption.
Prototyping Products with Data and AI: Turn concepts into functional, data-driven product prototypes with a hands-on methodology.
Specialized Elective Courses
Machine Learning Ops (MLOps): Master the operational pipeline, deployment, and scaling of machine learning models in enterprise environments.
AI in Banking Industry Insights: Dive deep into sector-specific AI applications, risk modeling, and financial technology innovation.
Technical Foundation Stack
Python Coding & Data Analysis: Core programming proficiency to handle, clean, and model complex datasets.
Cloud Computing Platforms: Industry-leading cloud infrastructure integration, backed by official AWS partnership resources.
Download our digital brochure and find out more about our Master Programs. These programs are designed for recent graduates and professionals who have up to 2 years of work experience.
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