General information

Academic year: 2021/2022

Level: Bachelor

Type: Bachelor's Degree

ECTS Credits: 240

Length of programme (full time): 4 AÑOS

Mode of delivery: Face-to-face

Level of qualification: Graduado(a) (MECES level 2 - EQF level 6)

Model of study: Full-time (42-60 ECTS per school year)

More info: programme website

Language(s) of instruction Spanish


Programme coordinator

Name: FRANCISCO J., ALONSO MORALES / falonso@uiZ5orV2rJZWFgr.es


Faculty of Science / Granada campus

Field(s) of education and training (ISCED-F)

  • Statistics (0542)

Main focus

This degree programme will qualify graduates to apply methods and models of Statistics and O.R. to analyse data, and to make decisions under uncertainty. Its main objectives are the following:
– To enable students to answer complex real problems and build scenarios and models. They will thus be able to use scientific methods and apply statistical analysis techniques to derive conclusions and make decisions.
– To enable students to analyse data from the moment that the problem is identified and formulated. They will be thus able to make decisions pertaining to the design, data collection and coding, analysis, model fitting and validation, interpretation, publication and presentation of results, and finally, the formulation of conclusions and proposals for future work.
– To provide training in techniques, methods, and models, as well as applications to real problems. The skills acquired will allow students to understand the variability of the data, the need for design, differences between observational and experimental studies, the randomisation or influence of covariates, the need for balance between model fitting and complexity, etc.
– To foment self-learning abilities in students.
– To enable students to understand problems in different fields so that they can elaborate models appropriate to the context.

Competences

1. Understand and possess basic knowledge of the modules in the degree programme.
2. Apply this basic knowledge in professional work and possess the demonstrated skills by developing and defending arguments and solving problems within the field of Statistics.
3. Collect and interpret data in order to make judgments, which include a reflection on relevant social, scientific, or ethical issues.
4. Communicate information, ideas, problems, and solutions to specialised and non-specialised audiences.
5. Develop learner autonomy that will facilitate subsequent studies.
6. Use bibliography search and management tools.
7. Communicate in another language of scientific relevance.
8. Possess entrepreneurial skills and aptitudes.
9. Promote and guarantee respect for human rights, principles of universal accessibility, equality, democratic values, and peace.

Programme qualification

Name of title awarded in original language

Graduado o Graduada en Estadística

Qualification requirements

– The student must prove the level B1, in accordance with the Common European Framework of Reference for Languages.
– The student has to complete the ECTS credits of the study program distributed as follows:
Basic Formation (60 ECTS)
Obligatory (108 ECTS)
Optional (60 ECTS)
Final degree project (12 ECTS)

Programme courses

Course Name Year Period
ADVANCED BIOSTATISTICAL METHODS 4th Year 2nd Semester
ADVANCED MATHEMATICAL ANALYSIS 3rd Year 1st Semester
ADVANCED MULTIVARIATE STATISTICAL TECHNIQUES 4th Year 2nd Semester
ALGEBRA 1st Year 2nd Semester
AREAS OF APPLICATION 3rd Year 2nd Semester
ARTIFICIAL INTELLIGENCE IN OPERATIONAL RESEARCH 3rd Year 1st Semester
BASIC BIOSTATISTICAL METHODS 4th Year 1st Semester
BASIC MULTIVARIATE STATISTICAL TECHNIQUES 4th Year 1st Semester
BUSINESS ADMINISTRATION 1st Year 2nd Semester
COMPUTATIONAL STATISTICS 1 2nd Year
COMPUTATIONAL STATISTICS 2 3rd Year
COMPUTER SCIENCE 1 1st Year 1st Semester
COMPUTER SCIENCE 2 1st Year 2nd Semester
CONTINGENCY TABLE ANALYSIS 4th Year 1st Semester
DATA ANALYSIS 2nd Year
DATA MINING 4th Year 2nd Semester
DEMOGRAPHIC DATA ANALYSIS 4th Year 1st Semester
DEMOGRAPHIC STATISTICAL MODELS 4th Year 2nd Semester
DESCRIPTIVE STATISTICS 1st Year 1st Semester
ECONOMICS 1st Year 1st Semester
EXPERIMENTAL DESIGN 3rd Year 1st Semester
EXPLORATORY DATA ANALYSIS 4th Year 1st Semester
FURTHER NUMERICAL METHODS 3rd Year 2nd Semester
LINEAR MODELS 2nd Year 2nd Semester
MATHEMATICAL ANALYSIS 1 1st Year 1st Semester
MATHEMATICAL ANALYSIS 2 1st Year 2nd Semester
MODELLING CATEGORICAL DATA 4th Year 2nd Semester
MULTIVARIATE ANALYSIS 3rd Year 1st Semester
NUMERICAL METHODS 2nd Year 1st Semester
OPERATIONAL RESEARCH 1 2nd Year 1st Semester
OPERATIONAL RESEARCH 2 2nd Year 2nd Semester
PROBABILITY CALCULATION 1 1st Year 1st Semester
PROBABILITY CALCULATION 2 1st Year 2nd Semester
PROBABILITY THEORY 2nd Year 1st Semester
PUBLIC SECTOR STATISTICS 1 3rd Year 1st Semester
PUBLIC SECTOR STATISTICS 2 3rd Year 2nd Semester
STATISTICAL CONTROL AND DESIGN IN BUSINESS 4th Year 2nd Semester
STATISTICAL INFERENCE 1 2nd Year 1st Semester
STATISTICAL INFERENCE 2 2nd Year 2nd Semester
STATISTICAL SAMPLING 2nd Year 2nd Semester
STOCHASTIC PROCESSES 3rd Year 2nd Semester
SURVEY DESIGN 3rd Year 2nd Semester
SYSTEMS RELIABILITY 4th Year 1st Semester
TIME SERIES 3rd Year 1st Semester
UNDERGRADUATE DISSERTATION 4th Year

Admission information

Access to Bachelor’s Degree programmes is granted to students with the following degrees/ diplomas or studies, or any other recognized as equivalent to these:
A.1. Spanish Bachiller, European Baccalaureate or International Baccalaureate.
A.2. Baccalaureate from European Union Member States’ education systems or other countries withinternational agreements.
A.3. Advanced Technician in Vocational Training, Advanced Technician in Plastic Arts and Design orAdvanced Technician in Sports Education, from the Spanish Education System.
A.4.Studies carried out in European Union Member States or in other countries with international reciprocal agreements which meet the academic requirements in those States to access their university studyprogrammes.
A.5. Official Spanish university degrees of Diplomado, Arquitecto Técnico, Ingeniero Técnico, Licenciado, Arquitecto, Ingeniero, Graduado or Máster Universitario.
A.6. Partial (foreign or Spanish) university studies.

Access to Bachelor’s Degree programmes is also possible for:
B.1. People over twenty-five after successfully passing a specific access test.
B.2. People over forty with work or professional experience related to a university field of knowledge.
B.3. People over forty-five after successfully passing a specific access test.

Likewise, access to Bachelor’s Degree programmes is granted to:
C.1. People meeting the requirements to enter university according to the Spanish Education Systemregulations prior to Ley Orgánica 8/2013, of December 9.

General regulations

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

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