Program Structure
This program will be taught from May 18 through June 22, 2023. Students may choose to take any number of courses offered.
This program will be taught from May 18 through June 22, 2023. Students may choose to take any number of courses offered.
This program is open to UTDT and international MBA and EMBA students. The average age of UTDT participants is 33 and they usually have about nine years of professional experience.
"The Science of Wellbeing: Individual, Workplace, and Policy Implications"
Contact hours: 12
Days: Thursday
Dates: May 18, June 1, 8 & 22
Time: 6:00 to 9:15 pm
Teaching modality: Hybrid (in-person or synchronous remote)
Prof. Lucía Macchia, Ph.D. in Psychology, City University of London.
bio"Financial Market Strategies."
Days: Tuesday and Friday
Dates: May 23 and 30; June 2, 6, 9, 13 & 16
Time: 7 to 10.15 pm
Teaching modality: In-person
Prof. Alejo Baltasar Rodríguez Cacio, M.Sc. In Economics, University of York.
bio"Strategic Forecast"
Contact hours: 12
Days: Tuesday
Days: Friday & Saturday
Time: Friday 2 to 5.20 pm„ Saturday 8 to 12.20 pm
Teaching modality: Hybrid (in-person or synchronous remote)
Prof. Alejandro Repetto, M. Sc. in Computer Science and Engineering, Politecnico di Milano.
bioOnly MBA and EMBA students will be accepted to this program. To apply please submit to programasinternacionales@utdt.edu:
Each participant must arrange and cover the costs of international and local transportation, accommodation, meals, health insurance, travel documents and personal expenses.
A list of suggested accommodations will be sent to accepted students.
Tuition per module: USD 2000 (waived for PIM partners).
Participation fee: USD 100 (will only be charged once, regardless of how many modules the student takes).
Within three weeks of the application deadline, you will receive an acceptance letter.
A minimum of 10 students is required to open each module. The maximum enrollment per module is 60 students.
No. UTDT MBA students will also be joining this program.
Yes, a transcript will be issued and sent to the home institution within a month of program completion.
Please contact international_enquiries@utdt.edu
Lucía Macchia is a Postdoctoral Research Fellow at the Women and Public Policy Program at the Harvard Kennedy School. Behavioural scientist with an interdisciplinary background and an interest in happiness, prosocial behaviour, inequality, and policy. Her work integrates methods from psychology and behavioural economics and focuses on two questions: 1) how macroeconomic factors shape people’s wellbeing, and 2) how inequalities influence people’s wellbeing and behaviour. To study these topics, Lucía uses large-scale datasets and experiments as well as a wide variety of statistical methods. Lucía holds a Ph.D. in Psychology and an M.Sc. in Behavioural Economics from the City University of London and a Bachelor in Business Administration from the Universidad Nacional de La Plata.
MSc in Economics, University of York. Masters in Finance, Universidad Torcuato Di Tella. Degree in Economics, Universidad de Buenos Aires. Academic Director of the MBA and Executive MBA at Universidad Torcuato Di Tella. Business and Product Director at Capital Markets Argentina. Former Director of the Masters in Finance at Universidad Argentina de la Empresa. Former Director of the Buenos Aires City Investment and Trade Promotion Agency (investBA). Former Chief Economist at Unilever Argentina. Former Head of Securities at Bank of America/BankBoston Argentina. Former advisor of the Argentine Federal Senate. Ample track record in investment strategies and asset valuation. 15+ years’ experience as professor in several universities, including UTDT, Austral, UADE, Belgrano, Salvador, as well as at IAEF (CIIA international certification course). Three-time winner of the CFA Research Challenge local level.
Alejandro Repetto is a specialist in innovation management and state-of-the-art technology with a focus on robotics, the Internet of Things, and Artificial Intelligence. He is an Expert in Exponential Technologies (Singularity University, USA), trained as Software Engineer with a specialization in Security and Cryptography (Facultad de Ingeniería del Ejército, Argentina), holds a Master in Computer Science and Engineering (Politecnico di Milano, Italy). He also pursued graduate training as Expert in Strategic Foresight (Institute for the Future, USA), Business Management (Universidad de la Empresa, Argentina), and Innovation Management (Alta Scuola Politecnica, Italia). He is a partner and the CTO at Inipop -a company specialized in IoT and AI- and co-founder and CEO of Robophy - Strategic Foresight Consulting firm. He directed the team that developed the first autonomous vehicle in Larin America.
Gonzalo Rossi has a solid managerial experience. He was General Manager at Amadeus and currently serves as CEO at Whalecom. He is a consultant in change management and top-management team building/strengthening. A frequent speaker at national and international conferences on neuroleadership, he is certified as i4neuroleader Partner & Trainer by the About My Brain Institute of Australia.
In this course, students will read and discuss cutting-edge research on wellbeing. This research aims to answer the following questions: Does money really make us happier? What leadership skills can we develop to bring happiness to the workplace? Is the Gross Domestic Product a good indicator of social progress? What can the government do to increase citizen’s happiness?
During this course, you will have the opportunity to:
· Learn what promotes and what undermines wellbeing.
· Apply behavioural insights related to wellbeing to the individual, the workplace, and the government.
· Critically analyze existing research.
· Generate new ideas.
The course is oriented to students who wish to learn the theory and practice of financial market investments.
During the course we will study several investment strategies, catered for different risk profiles and financial asset classes. Among the topics that will be covered in the course, it is worth mentioning: how to read the data in screens, charts, and platforms and use it to make investment decisions; how to optimize investment portfolios combining equity, fixed income, and ETFs; how to adapt our investment strategies when economic cycles and market moods change; how to implement investment techniques in emerging markets; which valuation ratios make sense for stocks of different industries and how to compute them using real data; how to use the relation between bond yields, duration and convexity in our favor; what is the effect of including crypto assets in an investment portfolio; how to create a hedge to minimize risk using future contracts; what is behind the Black and Scholes model for stock option valuation.
As part of the course, each student will build his/her own investment portfolio using real financial assets and data.
is an increasingly popular methodology that aims to anticipate change using a structured methodology so as to explore the different possible futures, where new businesses and challenges will coexist. It is an approach that aims to identify possible disruption points in trends, thus providing the possibility to be better prepared for significant changes in the status quo.
This course provides an introduction to Strategic Foresight. It will include an introduction to its methodological approach and practical work on cases and real examples. It is an ideal course for those interested in improving their strategic planning skills.
Expat managers are notoriously bad at adapting to local culture, making avoidable mistakes. Even knowing this risk, sometimes motivated by trust, others justified by the lack of local human capital, multinationals still tend to use intensively expat managers. To avoid ending on the wrong side of this trade-off, multinationals demand expat talent with high contextual intelligence, which can be trained and improved. This course will help you to improve your contextual intelligence by discussing how human resources are managed in Latin America, analyzing the cross-country differences and similarities.