Master's in Statistical Techniques

2019/2020 · 90 credits

What you learn

Metodología avanzada relativa a la Estadística y la Investigación Operativa, junto con sus aplicaciones prácticas. En lo que se refiere a la Estadística, la metodología gira, en general, en torno a la Inferencia Estadística: obtención de información fiable relativa a una población en estudio a partir de la observación de una muestra de ella. En la parte de la Investigación Operativa es destacable el manejo de herramientas matemáticas para encontrar la mejor solución a un problema (satisfaciendo una serie de restricciones), así como el estudio de conflictos (problemas de decisión en los que interaccionan varios agentes) y la propuesta de soluciones. Los conocimientos adquiridos permitirán realizar un análisis crítico y riguroso de los resultados obtenidos en las aplicaciones prácticas.

Complete study skills

Professional and academic career

Professional and academic career

Posibilidad de emplearse como profesional de la estadística en:

  • Empresas del sector financiero.
  • Empresas del ámbito de la salud.
  • Empresas de investigación social.
  • Administraciones públicas.
  • Laboratorios de investigación y desarrollo (I+D).
  • Muchas otras actividades profesionales.

En el ámbito académico, docencia universitaria.

Companies and institutions involved

Los estudiantes tienen la posibilidad de hacer el Trabajo Fin de Máster a través de prácticas en empresa. Esto es posible gracias a convenios a tal efecto entre las tres universidades organizadoras y diferentes empresas de los sectores público y privado, como el Instituto Gallego de Estadística y el Servicio Gallego de Salud, entre otros.

Planning for teaching

This study has teaching guide
You can read it to learn more about the study. In the table below you can see the individual teaching guides for each subject.

Study structure

The masters are organized by modules. Click on a module for more information.

  Guide Type QTR. credits
Exploratory data Analysis Optional 1st 5 ECTS
Statistical Inference Optional 1st 5 ECTS
Probability Models Optional 1st 5 ECTS
Linear and Integer Programming Optional 1st 5 ECTS
Regression Models Optional 1st 5 ECTS
  Guide Type QTR. credits
Data Management Technology Optional 1st 5 ECTS
Mathematical Statistics Optional 1st 5 ECTS
Probability Theory Optional 1st 5 ECTS
Mathematical Programming Optional 1st 5 ECTS
Generalized Regression and Mixed Models Optional 1st 5 ECTS
  Guide Type QTR. credits
Nonparametric Methods Compulsory 1st 5 ECTS
  Guide Type QTR. credits
Multivariate Analysis Optional 2nd 5 ECTS
Applied Optimization Optional 2nd 5 ECTS
Statistical Quality Control Optional 2nd 5 ECTS
Spatial Statistics Optional 2nd 5 ECTS
Nonparametric and Semiparametric Regression Optional 2nd 5 ECTS
Survival Analysis Optional 2nd 5 ECTS
Introduction to Game Theory Optional 2nd 5 ECTS
Sampling Optional 2nd 5 ECTS
Stochastic Processes Optional 2nd 5 ECTS
Network and Planning Optional 2nd 5 ECTS
Statistical Simulation Optional 2nd 5 ECTS
Time Series Optional 2nd 5 ECTS
  Guide Type QTR. credits
  Guide Type QTR. credits

 BOE with syllabus (PDF)

Teachers

The study is taught by the following teachers:

The masters are organized by modules. Click on a module for more information.

Student mobility

UDC holds student mobility agreements with universities and other third-level institutions across four continents. Students are offered several opportunities each year to apply to study abroad in one of these centres (for a single term or for a whole year), with the guarantee that all credits obtained will be duly recognised in their academic record upon their return.

For each round of applications, the University publishes the list of exchange options available to students and, where relevant, the specific conditions associated with each. Students may also apply to the University for funding for international work experience placements and internships.

Work experience placements are accredited in the student's academic record and the European diploma supplement. Students are free to decide in which host company or academic institution within the EHEA they wish to carry out their placement. To assist them in their search, the University has created an online noticeboard with jobs postings and other news.

Work-study placements in A Coruña are arranged by the International Relations Office (ORI) of the UDC in collaboration with the international relations coordinators in the student’s home university. The general entry criteria, rights and obligations of students, and admission and acceptance procedures for the programme, are regulated by the UDC Mobility Policy.