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UNIE Universidad Degree in Business Analytics
UNIE Universidad

Degree in Business Analytics

Madrid, Spain

4 Years

Spanish

Full time

Request application deadline

Apr 2025

EUR 9,000

On-Campus

Introduction

Become a Business Analytics professional with the most innovative training of the 21st century: generative AI.

If you want to take on leadership positions in the era of data-driven business decision-making, this master's degree is for you. Even if you have no prior technical or IT knowledge, with our program you will also be able to gain a solid understanding of the fundamental principles and tools of Data Science and Business Analytics.

UNIE's master's degree also offers you a unique and different approach that you will not find in any other degree: the application of Generative AI for data analysis in business contexts, a rapidly growing and highly innovative branch of AI.

Other skills that you will develop by studying at UNIE include, for example, the ability to solve problems by implementing AI, analyzing the results obtained, the ability to communicate them effectively, and critical thinking.

In a world increasingly driven by technology, job opportunities for professionals with expertise in data science and business analytics continue to grow.

What distinguishes this course from the others?

This master's degree is distinguished by its accessibility, as it allows you to train in current technological tools without the need for prior technical knowledge. It offers a specialized focus on generative AI , helping you become an expert in business analytics. In addition, you will have a faculty of professionals with extensive experience in different areas of the company, which will give you a direct connection with the industry.

It will prepare you to take advantage of the many job opportunities in the field of data analytics, and will enable you to lead data-driven strategies and make effective decisions within your organization. Upon completion, you will obtain an official degree, favorably evaluated by the Madri+d Knowledge Foundation.

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