General information
Academic year: 2023/2024
Type: Máster
ECTS Credits: 60
Orientación del programa de Máster Investigador
Length of programme (full time): 1 YEAR
Mode of delivery: A tiempo completo
Level of qualification: Máster (MECES nivel 3 – EQF nivel 7)
Model of study: Enseñanza virtual
Mobility windows:
Optional
Academic Information for mobility students
Aprendizaje basado en prácticas profesionales (Prácticum): Sí
Language(s) of instruction Spanish
Programme coordinator
Name: RAMÓN, GUTIÉRREZ SÁNCHEZ / ramongs@ugr.z2xaYIes
Faculty of Science / Granada campus
Field(s) of education and training (ISCED-F)
- Statistics (0542)
Main focus
; The training received in this master’s programme provides students with the knowledge and skills to do the following: – learn and apply methods of data analysis; (2) graphically analyse data, draw conclusions, and write reports; – understand and select statistical sources, relationships, and associations; – use sampling techniques and design experiments; – understand and apply statistical quality control techniques; – acquire advanced knowledge in probability, stochastic processes, statistical inference, and multivariate statistics; (6) learn to develop, build, and validate stochastic models; – detect and model the random in real problems; – interpret results and produce forecasts and scenarios; – use different programming environments and statistical analysis, and manage databases; – design, programme, and implement statistical programmes; – solve problems using stochastic simulation.
Competences
Students that have completed the second cycle have the following competencies: – Have demonstrated knowledge and understanding that is founded upon a basis or opportunity for originality in developing and/or applying ideas, often within a research context. – Can apply their acquired knowledge and understanding, and problem solving abilities in new or unfamiliar environments within broader (or multidisciplinary) contexts related to their field of study. – Have the ability to integrate knowledge and handle complexity, and formulate judgments with incomplete or limited information, but that include reflecting on social and ethical responsibilities linked to the application of their knowledge and judgments. – Can communicate their conclusions, and the knowledge and rationale underpinning these, to specialist and non-specialist audiences clearly and unambiguously. – Have the learning skills to allow them to continue to study in a manner that may be largely self-directed or autonomous.
Programme qualification
Name of title awarded in original language
Máster Universitario en Estadística Aplicada
Qualification requirements
60 minimum credits
Specialisations
Specialisation name
– No Specialisation
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