Master's Degree in Applied Statistics

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.

Name of title awarded in original language

Máster Universitario en Estadística Aplicada

Qualification requirements

60 minimum credits

Specialisation name

– No Specialisation

Admission information

Access to Master’s Degree programmes is granted to holders of:
A.1. A Spanish official university degree.
A.2. A degree issued by a Higher Education institution from another European Higher Education Area Member State which allows access to Master Degree’s programmes in that State.
A.3. A degree from a non-EHEA education system, upon verification by the Spanish University that the aforementioned degree accredits an equivalent education level to that of a Spanish university degree and allows access to postgraduate programmes in the issuing country.
A.4. A Spanish Bachelor in Advanced Artistic Education.
A.5. Official Spanish university degrees of Diplomado, Arquitecto Técnico, Ingeniero Técnico, Licenciado, Arquitecto, Ingeniero, Graduado or Máster Universitario.

Grading scale
In the Spanish university system, modules/courses are graded on a scale of 0 to 10 points with the following qualitative equivalence:
0-4,9: «suspenso»; 5-6,9: «aprobado»; 7-8,9: «notable»; 9-10: «sobresaliente». A special mention, «Matrícula de Honor» may be granted to up to 5% of the students in a group provided they have got a «sobresaliente». To pass a module/course is necessary to get at least 5 points.
In cases of recognition of ECTS, professional experience, cultural or sports activities, or student representation no grading will be recorded but, where appropriate, the word «Apto».

UGR Examination Regulations
https://docencia.ugr.es/sites/vic/docencia/public/inline-files/Normativa_de_evaluacion_y_calificacion_EN.pdf

More info on academic regulations at: 

https://ugrcat.ugr.es/en/about-ugr/#regulations