Master in Business Analytics

Learn to integrate AI and data to drive company value and career success with our Master in Business Analytics. Whether your background is in business or STEM, our MSc Program equips you with the skills and expertise neeeded to work with AI algorithms, Cloud computing, and Python coding.  You'll also develop invaluable real-world experience through immersion in Capstone projects and engage with official content provided through our partnership with AWS.

When you graduate you will be able to bridge the gap between technical and management teams — an ‘analytics translator' who helps companies unlock their full potential.

If you are in the final year of your Bachelor's degree, you are welcome to apply by submitting a partial transcript and completing your documents upon graduation.

1. A Bachelor's degree or equivalent

2. Fluency in English

3. A high score in the Esade Admissions Test, GMAT or GRE

English

Language learning: Optional classes in Spanish, German, French, and Mandarin Chinese.

Business Consultant
Analyze business problems and use data-driven insights to recommend solutions for clients.

Data Scientist
Develop and apply statistical models and machine learning algorithms to extract knowledge and predictions from data.

Analytics Consultant
Bridge the gap between data and business decisions, providing data-driven recommendations to improve processes and strategies.

Marketing Analyst
Measure and analyze marketing campaign performance, customer behavior, and market trends to optimize marketing strategies.

Data Solutions Architect
Design and implement data infrastructure, including databases, data warehouses, and data pipelines.

Business Intelligence Consultant
Transform raw data into actionable insights through reports, dashboards, and visualizations.

Chief Data Officer
Oversee an organization's data strategy, ensuring data quality, governance, and ethical use.

Big Data Analytics Manager
Lead teams that collect, process, and analyze massive datasets to extract valuable insights.

Big Data Entrepreneur
Develop innovative data-driven products or services involving large datasets and cutting-edge technologies.

Researcher
Conduct in-depth studies using data analysis techniques to explore new knowledge and advance understanding in a specific field.