La Master's Degree in Data Science (On-site) Universidad Austral combines more than 20 years of academic experience, an intensive 14-month curriculum and a practical approach geared towards real decision-making in organizations.
Through an in-person course in Buenos Aires , you will acquire advanced Data Science tools and apply them in concrete contexts, aligned with current market challenges.
Once enrolled in the Master's program, you will be able to access the Pre-Master Data Course , a 100% free and optional introductory course , designed to give you a solid foundation in the key content.
You will reinforce your knowledge in:
This way, you can level out and start the course with greater security and confidence , regardless of your previous training.
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"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 opportunities for me to expand my job search and improve my professional situation ."
Adriana Hurtado
"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.
Nicolás Carbone
«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).
Christian De Blasis
“My experience in the master's program is much better understood by knowing my starting point. I graduated with a degree in social sciences, and while I was always interested in data analytics, it wasn't the strongest aspect of my background, although it was highly required in my work environment. In this context, I experienced the advantage of learning a great deal (almost everything was new to me) and the disadvantage of needing to work harder than some of my classmates. I was able to turn this 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 .”
Christian Passarelli
"I enrolled in the master's program seeking to have a more technical profile applied to the professional field. During the course I studied concepts and carried out work with a practical approach, where the problems faced and mentioned by the professors are the same ones that arise in companies on a daily basis. "
Tomas Señaris
"Having the opportunity to pursue a Master's degree allowed me to formally enter a world as challenging and interesting as that of Data Science." It provided me with fundamental tools that are part of the daily routine in the profession."It broadened my horizons of knowledge and work in ways I could never have imagined when I decided to embark on this path."
Maximiliano Uboldi
"The Master's program exceeded my expectations because it helped me boost my professional career and provided me with the tools to implement digital transformation and apply a data-driven culture in the companies where I worked. I learned a great deal from the professors and my classmates, as I was able to grow in knowledge and experience and broaden my perspective on the various challenges we face daily. After completing the Master's program, I found better job opportunities to continue developing in the area of Data Analytics, which strengthened me both personally and professionally."
Gabriela Medina
"The Master's program gave me the tools to present business solutions with more robust foundations and deeper analysis, since each subject and experience was offered with a very practical approach. In my work environment, by applying the techniques I learned, I was able to tackle more challenging projects."
Matías Gouman
"I chose to pursue the Master's degree because of its business focus. I believe that the knowledge and tools I acquired during the course are useful for my work, as it opens doors to working across different areas."
Diego Ariel Oppenheim
Winner of first place at the Data Mining Cup – Kyoto University of Japan with a multidisciplinary team.
"The contribution the faculty gave us for the competition is all the concepts we acquired over these two years, theoretical concepts that we applied to a more practical setting. The truth is, it's spectacular to have this opportunity for a world competition (...) it was very encouraging because our team finished among the top in Argentina, and worldwide as well, and we found an interesting way to work together."
Diego Tauziet
"I enrolled in the Master's program because, as an economist, I see that the economy is currently moving towards new technologies, where the analysis of large volumes of data through new tools is fundamental. I chose the University because it seemed the most convenient, with the most comprehensive program and a high academic level."
Nestor Arellano
"Today I want to share with you my experience in the Master's program, which not only gave me a degree, but also provided me with essential support to carry out my professional duties with confidence and credibility. The training I received here has been key to facing the challenges of the working world and to performing successfully in a field as demanding as digital forensics."
Furthermore, I want to highlight something I consider invaluable: the University feels like a big family. During my time here, I had the opportunity to participate in a learning exchange at Techint, in the area of Data Mining. This experience not only broadened my horizons but also allowed me to put the knowledge I acquired into practice in a real professional environment.
To achieve my academic goals, I committed to an eight-hour weekly study load, which allowed me to complete my studies on time. This effort has been worthwhile, and today I can say that every hour invested has contributed to my personal and professional growth.
I am currently managing an international exchange program that will allow me to further broaden my horizons and meet my professional development needs. I am convinced that continuous learning is key in our field, and the University provides us with the necessary tools to keep learning.
In conclusion, I highly recommend the Master of Science in Data Science. It's not just a path to a degree, but an open door to a world of opportunities. I thank all the professors, classmates, and administrative staff for their support and dedication. Together, we have created an exceptional learning environment that inspires us to be better professionals and individuals.
Fausto De Larrosa
Data Manager at Nación Servicios -SUBE Card-.
"For years I had been working in data-related fields, but I felt I had reached a plateau and needed to acquire new skills to stand out. I tried short online courses, but they didn't provide what I really needed. That's how I decided to pursue a Master's degree, choosing Austral University for its prestige, academic quality, and practical, business-oriented approach."
The different perspectives with which the topics of Data Science and Artificial Intelligence are addressed throughout the subjects provide the possibility of understanding these techniques in depth and preparing for the changes that are happening around it (and that will continue to happen at a dizzying pace).
The knowledge I acquired gave me the opportunity to become a reference on these topics within the company, leading innovation and automation projects that are transforming various sectors of the company.
Today, profiles with these types of skills are increasingly in demand, so the effort and hours invested very quickly begin to pay off."
Diego Adrián Castro
The Master's Degree in Data Science of the Universidad Austral was recognized as 4th in Latin America, positioning itself within the TOP 5 of the international EDUNIVERSAL Best Masters ranking, which assesses academic prestige, employability and graduate satisfaction.
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.
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