Required Courses:
- » Elements of Mathematics
- » Research Seminar on Frontier Topics
- » Applied Statistical Methods for Business
- » Fundamentals of Algorithms
- » Algorithmic Techniques
- » Neuroscience and Decision-Making
- » Data Mining
- » Machine Learning
The Ph.D. in Applied Science and Technology aims to train researchers capable of applying the scientific method rigorously and conducting advanced disciplinary research according to international standards. To this end, the University provides doctoral students with the guidance of an outstanding faculty and researchers, as well as the necessary infrastructure to develop original scientific work. These research projects, oriented toward publication in peer-reviewed journals and conferences, constitute the foundation of a four-year training process culminating in the writing and defense of a doctoral dissertation.
The program embraces a broad and dynamic conception of scientific disciplines, acknowledging the continuous evolution of fields of knowledge and the increasing interaction among them. It promotes both fundamental research at the frontiers of knowledge in areas such as digital technology, cognitive neuroscience, and artificial intelligence and the development of scientifically grounded technological innovations and applications.
In this way, the Ph.D. seeks to address the needs of society, the national and international scientific community, and industry, connecting knowledge creation with meaningful transfer and impact across diverse domains.
Gustavo Vulcano
Ph.D. in Decision, Risk and Operations, Columbia University.
Magdalena Cornejo
Ph.D. in Economics, University of Buenos Aires.
Agustín Gravano
Ph.D. in Computer Science, Columbia University.
Javier Marenco
Ph.D. in Computer Science, University of Buenos Aires.
Joaquín Navajas
Ph.D. in Neuroscience, University of Leicester.
The Ph.D. requires full-time dedication.
Courses are delivered primarily in person.
The list of courses is indicative and may be subject to change.
The Ph.D. requires full-time dedication.
Courses are delivered primarily in person.
The list of courses is indicative and may be subject to change.
Applicants must hold a bachelor's or master's degree in a related field. They are also expected to demonstrate an intermediate level of English reading, writing, and oral communication skills sufficient for preparing scientific publications and presenting research in English.
Applicants must provide evidence of academic background in applied sciences and/or technology, demonstrating the technical and analytical abilities required to successfully complete doctoral-level studies.
Copy or scanned image of a national ID document or passport (for international applicants).
Recent front-facing digital photograph in JPG format (file name: lastname_firstname.jpg), between 600 KB and 2 MB.
Copy or scanned image of the university degree certificate (both sides), or proof that the degree is in process.
Official academic transcript indicating final GPA.
Curriculum Vitae, statement of purpose, and indication of research areas of interest.
Identification of one or two UTDT faculty members with whom the applicant would like to work, including the proposed research topic and a brief statement of motivations and aspirations (maximum two pages).
Description of prior teaching experience and a brief teaching statement outlining the applicant's teaching philosophy and proposals for courses related to applied science and technology (maximum two pages).
Two academic letters of recommendation from scholars in fields related to applied science and/or technology.