We offer our graduates the opportunity to to update and continue training through a selection of master's degree subjects from the Headquarters Rosario: Finance, Applied Economics, Agribusiness, Data Science, and People-Centered Organizations.
Each graduate may take one (1) course per calendar year . Courses have limited enrollment , determined by each master's program director, so we recommend registering in advance.
How to participate?
Complete the form on this page indicating your subject of interest and your contact information. We will contact you to continue the registration process, subject to availability.
Important:
Participation in this program It does not grant academic credits for postgraduate programs nor is it equivalent to formal admission to a master's program.
At the bottom of this page you can find the available courses . Each course has its own registration deadline. Please check the deadline before registering.
For any questions, you can write to us at graduadosderosario@austral.edu.ar
General Information
The course requirements are those demanded by each subject: class attendance, assessments, readings and teamwork , among others.
Course format: in-person and/or distance learning, as determined by each subject.
Cost: Free for University graduates.
Objectives: This program integrates the design and development of agribusiness organizations with the demands of emerging environments. It focuses on professionalization, innovative leadership, and organizational adaptation within the context of agribusiness and its value chains.
Objectives: To understand the fundamentals of sustainable finance and ESG criteria, to know the main regulatory frameworks and taxonomies, to identify financial products and sustainable investment criteria, to analyze ESG risks and to use ratings and indices for decision-making, applying this knowledge to specific cases.
Objective: This subject was designed to provide the student with comprehensive knowledge of the regulatory, transparency and AML/CFT framework that governs the Capital Market in the Argentine Republic, providing the necessary theoretical and procedural tools to develop a solid compliance profile.
Objectives: This course provides students with an introduction to the fascinating world of agricultural commodities and their influence on the global economy. We will explain how the agricultural commodities market works, highlighting Argentina's key role in international trade, as well as the prominent participation of global companies in the trade of products such as grains, oilseeds, and others. This course is offered entirely online.
Objectives: This course aims to familiarize students with current issues regarding the use of language. It teaches them the art of effective communication and persuasion. Media training.
Objectives: In this course, we will address the challenges faced by businesses from the institutional perspective of "Family Businesses." We will develop various analytical models that allow us to distinguish between different types of family businesses, as well as the various levels of possible involvement. From each of these levels, we will reflect on how relationships are managed and the impact this has on the business, the family, and the individuals involved.
Objectives: The course content ranges from the origins of investment decisions and the theory of valuation of risky assets, addressing the effects of financing decisions, all within the framework of value-based management, continuing with what was introduced in Financial Management.
Objectives: To reflect on and understand the sources of Corporate Value, as well as its diversity and connection to corporate strategy and all business areas. Through the discussion of real-world case studies, the course aims to provide all the necessary tools to successfully navigate these processes. Guest speakers will share their experiences related to the course content with the students.
Objectives: To provide students with the knowledge and skills necessary to effectively manage investment portfolios strategically. The course focuses on the detailed analysis of case studies, offering students the opportunity to examine various approaches adopted by portfolio managers based on their specific objectives. This practical approach allows participants to explore real-world strategies applied in managing investment portfolios.
Objectives: To introduce students to the process of acquisitions and various partnerships between companies. Through the discussion of real-world case studies, the aim is to provide all the necessary tools to successfully navigate these processes.
Objectives: To introduce students to a different approach to the main financial theories, based on the biases and preconceptions that can arise in human psychology, leading to frequent errors in the application of conceptual models founded on the absolute rationality of the individual. Understanding Behavioral Finance and the elements recently contributed by Neuroscience provides an invaluable set of tools for avoiding poor financial decisions.
Objectives: To extend the philosophy of risk management, characteristic of financial markets and investment funds, to businesses and the rest of the real economy. We will discuss how financial decisions can be improved through the application of tools that quantify and, where possible, limit the risks taken.
Objectives: This course aims to promote the use of technology, innovation and research in the area of finance, giving the student a general overview of the world of FinTech.
Objective: Introduction to Python programming applied to data analysis. Aimed at graduates with no prior programming experience. Contents: Data types, control structures, functions, input/output.
Objective: Introduction to R for data analysis and visualization. Aimed at graduates interested in data analysis. Contents: Importing, cleaning, manipulation (dplyr, tidyr), visualization, functions.
Objective: Statistical foundations for data analysis and decision-making. Contents: Descriptive statistics, probability, inference, tests, bivariate analysis, use of R.
Objective: Introduction to DBMS and SQL applied to data analysis. Contents: Relational model, SQL, data analysis, modern databases (NoSQL).
Objective: To cover the complete data analysis process. Contents: Cleaning, exploration, visualization, communication, reproducible work.
Objective: Introduction to data mining techniques. Contents: Association rules, PCA, clustering, trees.
Objective: To apply time series models to a real-world business case. Contents: Forecasting, classic and machine learning models, validation, Kaggle-style competition.
Objective: To integrate simulation and machine learning for decision-making. Contents: Simulation, optimization, ML, real-world applications.
Objectives: To develop a person-centered approach to innovation, acquiring key tools and capabilities through design thinking, in an environment of learning, reflection and collaborative practice.
Objectives: To understand organizational identity and culture, analyze its impact, and develop diagnoses and proposals to promote cultural change processes.
Objective: To apply different methodologies for identifying the unobservable components of time series. To extract the seasonal component from them. To introduce students, in a practical way, to the most commonly used methodologies for seasonal adjustment. To apply the techniques developed in professional or academic settings that require them.
Objective: The objective of this course is to introduce students, through both theory and practice, to the most widely used applications for manipulating and processing large amounts of data generated from real-world actions in both personal and professional settings. It is hoped that this will enable participants to understand the organizational benefits of implementing a data model and its implications for strategic decision-making.
Objective: To provide the theoretical foundation of international trade and finance models with real-world applications. Participants are expected to be able to: Understand, through discussion and analysis, current trends in order to make accurate diagnoses for open and globally integrated economies; Understand historical and current economic models through their concrete application in countries and economic zones; Identify the particularities of the world's major economies in their relationships with others; Adapt their understanding to current trends in innovation and transformation; and Analyze major global trends.
Objective: To acquire the analytical tools and approach to analyze the interrelationships between macroeconomic variables; To apply current theoretical analytical models and frameworks in macroeconomics; To analyze the implementation and impact of economic policies in different macroeconomic areas.
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