Doctorado en estadística

Area

natural Sciences

Sub-Discipline

Math

Pontificia Universidad Catolica de Chile (Campus San Joaquín)

Pontifical Catholic University of Chile (San Joaquín Campus)

  • City: Macul,
  • Commune: Santiago,
  • Region: Metropolitan Region
goals

The objective of the program is to provide a solid and advanced training in statistics, providing the necessary tools for the development of a career in research, as well as preparing high-level professionals to develop applied research in extra-university institutions.

Applicant Profile

Be in possession of the academic degree of Bachelor and / or Magister and accredit adequate training in Mathematics and Statistics. In case of having academic degrees of foreign origin, these must be equivalent to those mentioned above and must be legalized from the country of origin. Documents issued in countries subscribed to the Hague Apostille Convention will be received apostilled. In the case of those documents issued in countries not subscribed to the Hague Apostille Convention, they must be legalized at the Chilean Consulate of the country of origin, for their subsequent legalization and translation (when appropriate) at the Ministry of Foreign Relations of Chili.
Adequate training in Mathematics and Statistics will be evaluated by the Doctoral Committee, which will consider knowledge in at least the following areas: calculus in several variables, linear algebra and statistical methods. In exceptional cases, the Program Committee may conditionally accept applicants who do not meet this knowledge.

Graduate profile

The profile of the graduate of the Doctorate in Statistics is:

Program computational solutions and manage databases:
Build and evaluate the properties of computational solutions for the management, exploration and modeling of large volumes of data.
Generates and evaluates the properties of new tools to synthesize, organize and visualize the information contained in data sets.
Models random phenomena and analyzes information contained in data:
Build and evaluate the properties of new statistical procedures for decision making under uncertainty.
Build and evaluate the properties of statistical models to predict and explain observed phenomena.
Designs projects to answer research questions and makes responsible and careful use of data sets, maintaining the security and confidentiality of any human being or organization in question.
Communicates effectively through oral, written and specialized language.

Lines of investigation

Classic Statistical Methods:
Develop and study the properties of classical statistical models. Specific interests include the theory of parametric probability distributions, the development of measures of local and global influence, sampling techniques, and time series.

Bayesian Statistical Methods:
Develop and study the properties of Bayesian statistical models. Specific interests include the development of parametric and non-parametric Bayesian models.

Applied Statistics and Data Science:
Develop and study the properties of statistical methods that can be used through science.