Blended learning format · CABA
La Master's Degree in Data Science with AI from the Universidad Austral combines more than 20 years of academic experience, an intensive 14-month plan and a practical approach geared towards decision-making in real organizations.
With face-to-face meetings in Buenos Aires , you will have direct contact with teachers, collaborative work, and a professional network that is built in the classroom.
Home
March 19th 2027
Duration
14 months
Mode
Blended learning · CABA
We'll be with you from the very first step.
Once enrolled, you'll have access to an optional introductory course to strengthen your programming and math skills . This way, you can start the course with confidence and security , regardless of your prior training.
Fill out the form and receive the information instantly.
"I chose the master's program to strengthen my knowledge in machine learning and boost my career as a professional. During the course, I acquired fundamental tools to address different problems in various sectors and solve them with data, which I apply daily to generate value in different business processes. The master's program opened up the opportunity for me to expand my job search and improve my professional situation ."
"I chose the Master's in Data Science from the Universidad Austral because of its privileged location in the City of Buenos Aires, the high prestige enjoyed by its teachers and, especially, because of the support I received before, during and even after completing my master's degree. My professors' commitment and dedication were exceptional, so much so that they recommended me to continue my studies in the United States.I am grateful for this experience, which has been fundamental to my professional and academic development.
"The Master's program is designed to give you useful tools applicable to your work environment.This is what helped me the most to decide, and I believe that Universidad Austral It fulfilled this purpose, providing a knowledge structure that allows you, on the one hand, to have criteria for decision-making and, on the other hand, to have a "clinical eye" to analyze real problems in working life (what is not known, is not suspected).
“My experience in the master's program is much better understood by knowing my starting point. I graduated in a social science, and while I was always interested in data analytics, that aspect wasn't the strongest part of my background, although it was highly required in my work environment. In this context, I experienced the advantage of learning a lot (almost everything was new to me) and the disadvantage of needing to work harder than some of my classmates. I managed to turn that disadvantage into an opportunity through support courses and the guidance of professors and colleagues. The experience of completing and passing my master's thesis was a great boost to my career and professional development. ”
"I enrolled in the master's program seeking a more technical profile applied to the professional field. During the course, I studied concepts and carried out projects with a practical focus, where the problems faced and mentioned by the professors are the same ones that arise in companies on a daily basis ."
"Having the opportunity to pursue a Master's degree allowed me to formally enter the challenging and interesting world of Data Science. It provided me with fundamental tools that are part of the daily routine in the profession , and broadened my knowledge and career horizons in ways I never imagined when I decided to embark on this path."
First year:
Second year:
Those who comply with the promotion system will achieve the degree and obtain the title of " Master in Data Exploitation and Knowledge Management ".
Official recognition and national validity of the degree granted by the Ministry of Education through Resolution No. 2781-15 and by CONEAU through Accreditation Resolution No. RESFC-2022-250-APN-CONEAU#ME, dated 14/07/2022 (Accredited with category B).
Data science and artificial intelligence impact the productive, educational, and social systems without exception. Their influence grows daily, and the ability to interpret and use data to make decisions has become a key competency at all levels of education.
In this dynamic scenario, having a continuous training program is essential for professionals and graduates to stay up-to-date with the most innovative tools, techniques and approaches in the sector.
• Course in Generative AI
Introduction to Generative Artificial Intelligence and its real-world applications. Topics covered include language models (LLMs), image generation, multimodal models, and current challenges such as biases, hallucinations, and model efficiency.
• MLOps: Operationalization of Machine Learning Models
Implementation and scaling of models in production environments, integrating automation, version control, monitoring and tools such as AutoML and GenAIOps.
DISCOUNTS AND BENEFITS
Important: Discounts are not cumulative and are subject to availability.
PAYMENT PLANS
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AGREEMENTS
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