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Breakfast briefing: «Master's Degree in Data Science – Rosario»

Day:

01.12.2026

Time: 08:30 hs.

Mode: in-person

Presented by: Mag. Fernanda Méndez

Location: Universidad Austral headquarters Rosario - Paraguay 1978

I turned data into decisions

 

Today, data is the most valuable resource for organizations. But only those who know how to interpret it can transform it into a true competitive advantage.

La Master of Science in Data from the Universidad Austral It prepares you to take that leap: mastering the most advanced tools in analysis, modeling and machine learning algorithm to generate real value through information.

In a context where artificial intelligence is redefining industries, this training makes you a professional capable of designing strategies, leading teams, and making evidence-based decisions.

With over twenty years of experience training leaders in technology and management, and ranked among the top five in Latin America according to the Eduniversal ranking , this master's program combines academic rigor with practical application. Its approach is action-oriented: everything learned is applied from day one in real-world work contexts.

The blended learning format , which alternates between in-person and online weeks, allows students to balance their studies with their professional activity, fostering exchange and building a network of colleagues and teachers with real-world experience in the industry.

During the program, participants learn to extract and interpret large volumes of data, identify patterns, automate processes, and design intelligent systems that support strategic decision-making. The latest tools—such as artificial intelligence, machine learning, and data mining—are integrated into concrete projects that enhance professional development and open new career opportunities.

 

Date: Tuesday December 1, 2026
Time: 08: 30 pm
Modality: In‑person
Location: Universidad Austral headquarters Rosario, Paraguay 1978

Speaker:

Mag. Fernanda Mendez

Mag. Fernanda Mendez - Academic Coordinator

Master's and Bachelor's degree in Statistics, specializing in data analysis and research. Experience in interpreting information for strategic decision-making. 

 

 

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