奇趣腾讯分分彩

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Master in Neuroscience

Modality
In-person
Branch of knowledge
Health Sciences
School(s)
Faculty of Biology
R煤a Lope G贸mez de Marzoa, s/n, 15782
Santiago de Compostela
881813245 (颁辞苍蝉别谤虫补谤铆补)
881813308 (Decanato)
facultade.bioloxia.decanato [at] usc.gal
Campus
Santiago de Compostela
Coordinator
Miguel Angel Rodriguez Diaz
Contact
miguelangel.rodriguez.diaz [at] usc.es

This inter-university degree provides the advanced level training that, both for the specialty of Cell and Molecular Neurobiology and Cognitive Neuroscience, a Neuroscience professional must have to acquire the theoretical and experimental foundations necessary to develop a doctorate's thesis.

Duration: 1 academic year
RUCT code: 4310850
ECTS Number: 60
Seats number: 20

Dean or center director:
Jes煤s 脕ngel L贸pez Romalde
jesus.romalde [at] usc.es

Title coordinator:
Miguel Angel Rodriguez Diaz
miguelangel.rodriguez.diaz [at] usc.es

Use languages:
Spanish, Galician

Coordinator university:
University of Santiago de Compostela

Partaker universities:
University of Santiago de Compostela University of A Coru帽a University of Vigo

Xunta de Galicia title implantation authorization date:
Orde do 51/2006 do 23 de marzo(DOG 28/03/2006)

BOE publication date:
06/03/2014

Last accreditation date:
11/03/2015

Cr茅ditos que deber谩 cursar el alumno para obtener la titulaci贸n:
Obligatorios 20
Optativos 21
Trabajo Fin de M谩ster 19
Total 60

El m谩ster tiene las siguientes especialidades:
飩 Especialidad en Neurociencia Cognitiva
飩 Especialidad en Neurobiologia Celular y Molecular.
Para que una especialidad conste en el t铆tulo, el estudiante debe cursar al menos 5 materias dentro de la especialidad.

Cellular Biology of the Nervous System

  • P2012101
  •  
  • Compulsory Credits
  •  
  • First Semester
  •  
  • 4 Credits

Neurochemistry

  • P2012102
  •  
  • Compulsory Credits
  •  
  • First Semester
  •  
  • 4 Credits

Neuroanatomy

  • P2012103
  •  
  • Compulsory Credits
  •  
  • First Semester
  •  
  • 4 Credits

Physiology of the Nervous System

  • P2012104
  •  
  • Compulsory Credits
  •  
  • First Semester
  •  
  • 4 Credits

Behavioural Neuroscience

  • P2012105
  •  
  • Compulsory Credits
  •  
  • First Semester
  •  
  • 4 Credits

Dissertation

  • P2012106
  •  
  • Compulsory Credits
  •  
  • End of Degree Projects and End of Master's Degree Projects
  •  
  • 19 Credits

Psychophysiological techniques

  • P2012201
  •  
  • Elective Credits
  •  
  • Second Semester
  •  
  • 3 Credits

Applied cognitive Neuroscience

  • P2012202
  •  
  • Elective Credits
  •  
  • Second Semester
  •  
  • 3 Credits

Superior psychic processes

  • P2012203
  •  
  • Elective Credits
  •  
  • Second Semester
  •  
  • 3 Credits

Addictive Behaviours

  • P2012204
  •  
  • Elective Credits
  •  
  • Second Semester
  •  
  • 3 Credits

Nuclear scans in neurology: SPET and PET. Digital neuroimaging

  • P2012205
  •  
  • Elective Credits
  •  
  • Second Semester
  •  
  • 3 Credits

Neurodegeneration and neuroreparation

  • P2012206
  •  
  • Elective Credits
  •  
  • Second Semester
  •  
  • 3 Credits

Fundamentals of clinical Neurophysiology

  • P2012207
  •  
  • Elective Credits
  •  
  • Second Semester
  •  
  • 3 Credits

Fundamentals of Psychiatry

  • P2012208
  •  
  • Elective Credits
  •  
  • Second Semester
  •  
  • 3 Credits

Fundamentals of neurology

  • P2012209
  •  
  • Elective Credits
  •  
  • Second Semester
  •  
  • 3 Credits

Computational Neuroscience

  • P2012210
  •  
  • Elective Credits
  •  
  • Second Semester
  •  
  • 3 Credits

Biological and computational models of knowledge representation

  • P2012211
  •  
  • Elective Credits
  •  
  • Second Semester
  •  
  • 3 Credits

Neuroimaging PET/SPECT: preprocessing, analysis and clinical applications

  • P2012223
  •  
  • Elective Credits
  •  
  • Second Semester
  •  
  • 3 Credits

Neuroscience applied to clinical neurology

  • P2012224
  •  
  • Elective Credits
  •  
  • Second Semester
  •  
  • 3 Credits

Fundamentals of Genomics and Proteomics in Neuroscience

  • P2012212
  •  
  • Elective Credits
  •  
  • Second Semester
  •  
  • 3 Credits

Neuropharmacology

  • P2012213
  •  
  • Elective Credits
  •  
  • Second Semester
  •  
  • 3 Credits

Molecular Neurobiology techniques

  • P2012214
  •  
  • Elective Credits
  •  
  • Second Semester
  •  
  • 3 Credits

Nervous system development

  • P2012215
  •  
  • Elective Credits
  •  
  • Second Semester
  •  
  • 3 Credits

Nervous system evolution

  • P2012216
  •  
  • Elective Credits
  •  
  • Second Semester
  •  
  • 3 Credits

Comparative Neuroanatomy

  • P2012217
  •  
  • Elective Credits
  •  
  • Second Semester
  •  
  • 3 Credits

Neuroanatomical techniques

  • P2012218
  •  
  • Elective Credits
  •  
  • Second Semester
  •  
  • 3 Credits

Ion channels and neuronal behaviour. Introduction to channelopathies

  • P2012219
  •  
  • Elective Credits
  •  
  • Second Semester
  •  
  • 3 Credits

Neuroendocrinology

  • P2012220
  •  
  • Elective Credits
  •  
  • Second Semester
  •  
  • 3 Credits

Electrophysiological Methods

  • P2012221
  •  
  • Elective Credits
  •  
  • Second Semester
  •  
  • 3 Credits

Neurotoxicology

  • P2012222
  •  
  • Elective Credits
  •  
  • Second Semester
  •  
  • 3 Credits

Brain and Computation

  • P2011102
  •  
  • Elective Credits
  •  
  •  
  • 3 Credits

Nervous Bases of the Biological Rhythms and the Use of Energy

  • P2011202
  •  
  • Elective Credits
  •  
  •  
  • 3 Credits

Bioengineering applied to Neuroscience

  • P2011203
  •  
  • Elective Credits
  •  
  •  
  • 3 Credits

High Resolution Liquid-Chromatography Applied to Neuroscience

  • P2011206
  •  
  • Elective Credits
  •  
  •  
  • 3 Credits

Statistics and Mathematical Models Applied to Neuroscience

  • P2011207
  •  
  • Elective Credits
  •  
  •  
  • 3 Credits

Fundamentals of Clinical Neurophysiology

  • P2011210
  •  
  • Elective Credits
  •  
  •  
  • 3 Credits

History and Philosophy of Neuroscience

  • P2011214
  •  
  • Elective Credits
  •  
  •  
  • 3 Credits

Organizational Models of the Nervous System

  • P2011216
  •  
  • Elective Credits
  •  
  •  
  • 3 Credits

Neurosurgery

  • P2011220
  •  
  • Elective Credits
  •  
  •  
  • 3 Credits

Comparative Neuroendocrinology

  • P2011222
  •  
  • Elective Credits
  •  
  •  
  • 3 Credits

Neuroethics

  • P2011223
  •  
  • Elective Credits
  •  
  •  
  • 3 Credits

Molecular Psychiatry

  • P2011227
  •  
  • Elective Credits
  •  
  •  
  • 4 Credits

Writing of Publications and Projects

  • P2011228
  •  
  • Elective Credits
  •  
  •  
  • 3 Credits

Complex Adaptive Systems

  • P2011229
  •  
  • Elective Credits
  •  
  •  
  • 3 Credits

Management of Neuroscience Research

  • P2011232
  •  
  • Elective Credits
  •  
  •  
  • 3 Credits

Activity to Present the Research Lines

  • P2011236
  •  
  • Elective Credits
  •  
  •  
  • 4 Credits

This inter-university degree provides the advanced level training that, both for the specialty of Cell and Molecular Neurobiology and Cognitive Neuroscience, a Neuroscience professional must have to acquire the theoretical and experimental foundations necessary to develop a doctorate's thesis.

No se contempla

Cr茅ditos que deber谩 cursar el alumno para obtener la titulaci贸n:
Obligatorios 20
Optativos 21
Trabajo Fin de M谩ster 19
Total 60

Los estudiantes tienen tutorias obligatorias en todas las materias y tutores para el Trabajo Fin de Master, como se explica en las gu铆as docentes correspondientes.
El desarrollo de las asignaturas se complementa con tutor铆as individualizadas (presenciales y online) en las que los miembros del equipo docente orientan y supervisan el trabajo de los alumnos.
Las tutor铆as individualizadas est谩n destinadas al desarrollo de actividades presenciales de orientaci贸n, dinamizaci贸n y seguimiento del trabajo de los/las estudiantes: orientaci贸n para la realizaci贸n de informes,
preparaci贸n de exposiciones, b煤squeda y selecci贸n de material bibliogr谩fico, y gu铆a en la resoluci贸n de problemas.

Access

Para acceder aos ensinos oficiais de M谩ster ser谩 necesario estar en posesi贸n de:
A.1. Un t铆tulo universitario oficial espa帽ol.
A.2. Un t铆tulo expedido por unha instituci贸n de educaci贸n superior pertencente a outro Estado integrante do Espazo Europeo de Educaci贸n Superior que faculte no mesmo para o acceso a ensinos de M谩ster.
A.3. Un t铆tulo pertencente a un sistema educativo alleo ao Espazo Europeo de Educaci贸n, previa comprobaci贸n pola Universidade de que o citado t铆tulo acredita un nivel de formaci贸n equivalente aos correspondentes t铆tulos universitarios oficiais espa帽ois e faculta no pa铆s expedidor do t铆tulo para o acceso a ensinos de posgrao.
A.4. Un t铆tulo superior das Ensinanzas Art铆sticas Superiores do sistema educativo espa帽ol.

Admission

Modalidad: matr铆cula directa

Titulaciones de acceso:

1.- Titulaciones preferentes
a. Licenciados o graduados en Biolog铆a, Farmacia, Medicina, Psicolog铆a y Veterinaria.
b. Titulados en Odontolog铆a, Enfermar铆a, Fisioterapia, Logopedia, Podolog铆a y Terapia Ocupacional.
c. Titulados en Biotecnolog铆a, F铆sica, Qu铆mica, Matem谩ticas, Ciencias del Mar, T茅cnicas Estad铆sticas, Estad铆stica, Nutrici贸n Humana y Diet茅tica, 脫ptica y Optometr铆a.
2.- Titulaciones no preferentes
Otras titulaciones
Consultar la informaci贸n actualizada en cada convocatoria anual de matr铆cula.

The master's degree in neuroscience aims to offer a program aimed at the advanced training of researchers in the field of neuroscience, which is able to respond to the challenges posed by the European Higher Education Area in the field of postgraduate. It provides the theoretical and experimental basis necessary for the realization of the Doctoral Thesis in the field of Neuroscience

Will guarantee that all the students:

1. Know the fundamentals of neuroscience and subjects of the same object of interest.
2. Know and know how to use the experimental techniques of the neuroscience fields of interest.
3. They possess a degree of specialization, which means the knowledge of specific problems, theories and techniques, in at least one field of neuroscience.
4. Know how to read and obtain relevant information from scientific publications.
5. Know how to apply acquired knowledge and problem-solving skills in new or unfamiliar environments within broader (or multidisciplinary) contexts related to neuroscience.
6. Be able to integrate knowledge and face the complexity of making judgments from information that, incomplete or limited, includes reflections on social and ethical responsibilities linked to the application of their knowledge and judgments.
7. Have competence in the oral and written presentation of scientific results to specialized and non-specialized audiences in a clear and unambiguous manner.
8. Know how to work in multidisciplinary groups.
9. Have the learning skills that allow them to continue studying in a way that will be largely self-directed or autonomous.

Competencias espec铆ficas: Neurobiolog铆a celular y molecular

1.- Identificar y explicar la organizaci贸n celular y funcional de las principales estructuras del sistema nervioso central y perif茅rico.
2.- Describir el proceso de desarrollo del sistema nervioso.
3.- Explicar el proceso de cambio adaptativo del sistema nervioso dentro del marco evolutivo.
4.- Explicar el funcionamiento de las neuronas desde el nivel molecular al celular.
5.- Describir la relaci贸n entre los canales i贸nicos y el comportamiento neuronal.
6.- Explicar los mecanismos de interacci贸n de f谩rmacos y toxinas con el sistema nervioso.
7.- Explicar los principios de integraci贸n neuroendocrina c贸mo base para el control del comportamiento.
8.- Dise帽ar y realizar experimentos con las t茅cnicas electrofisiol贸gicas, anat贸micas y de biolog铆a molecular m谩s utilizadas en el estudio del sistema nervioso.

Competencias espec铆ficas: Neurociencia cognitiva (NC)

1.- Comprender las bases biol贸gicas de la cognici贸n y de las emociones con especial 茅nfasis en procesos de atenci贸n, aprendizaje, memoria y control ejecutivo, habida cuenta los cambios que se producen con la edad.
2.- Conocer los principales m茅todos empleados por la neurociencia cognitiva actual, con especial acento en las t茅cnicas psicofisiol贸gicas, neuropsicol贸gicas y de neuroimagen.
3.- Familiarizarse con las posibles aplicaciones de la neurociencia cognitiva tanto para el estudio de los procesos normales como de algunas patolog铆as.
4.- Integrar las bases conceptuales y metodol贸gicas de la psiquiatr铆a en la investigaci贸n b谩sica y cl铆nica de las patolog铆as psiqui谩tricas y de las conductas adictivas.
5.- Alcanzar competencia espec铆fica en el manejo de la t茅cnica de los potenciales evocados en el estudio de los procesos ps铆quicos.

Mobility

La movilidad de los/as estudiantes est谩 regulada a trav茅s del 鈥淩eglamento de intercambios interuniversitarios鈥. A trav茅s de la Oficina de Relaciones Exteriores se gestionan programas de intercambio tanto nacionales (SICUE), como europeos (ERASMUS) y extracomunitarios (intercambios con pa铆ses de Am茅rica Latina o pa铆ses de habla inglesa):

Internships

No se contemplan

El Trabajo de Fin de M谩ster (TFM) consta de 19 cr茅ditos y consistir谩 en la realizaci贸n de un trabajo original experimental de iniciaci贸n a la investigaci贸n en el 谩mbito de la neurociencia, relacionado con cualquiera de las l铆neas de investigaci贸n que se ofertan en el m谩ster. Este trabajo incluye actividades tanto presenciales (asistencia a sesiones de tutorizaci贸n individual, realizaci贸n del trabajo de investigaci贸n, presentaci贸n y defensa p煤blica de los proyectos expuestos) como no presenciales (revisi贸n bibliogr谩fica actualizada y completa en referencia a un tema, dise帽o de la investigaci贸n, tratamiento estad铆stico de los datos, interpretaci贸n y discusi贸n de resultados, elaboraci贸n de conclusiones, ensayos para la defensa oral del trabajo). Dependiendo del car谩cter de cada trabajo, las horas asignadas a cada tipo de actividad pueden variar ligeramente.
El/la estudiante deber谩 realizar y presentar un trabajo de investigaci贸n que debe constar de las siguientes partes: Introducci贸n, objetivos, materiales y m茅todos, resultados, discusi贸n, conclusiones y bibliograf铆a.
El contenido puede ser cualquier tem谩tica del 谩mbito de la neurociencia ofertada en las l铆neas de investigaci贸n vinculadas a este M谩ster.

The teaching staff consists of highly qualified professors from the three Galician universities.

Faculty
Maria Fatima Adrio Fondevila
Pablo Aguiar Fern谩ndez
Manuel Arrojo Romero
Olga Barca Mayo
Anton Barreiro Iglesias
Fernando Cadaveira Mah铆a
Francisco Campos Perez
Eva Maria Candal Suarez
Homero Indalecio Carrera Machado
Mar铆a Teresa Carrillo De La Pe帽a
Jesus Cespon Gonzalez
Jose Angel Fontenla Gil
Santiago Galdo Alvarez
Maria Del Carmen Garcia Mahia
Jose Luis Labandeira Garcia
Monica Lindin Novo
Jorge Lopez Castroman
Maria Isabel Loza Garcia
Francisco Javier Martin Cora
Raimundo Mateos Alvarez
Estefania Maria Salome Mendez Alvarez
Ana Maria Mu帽oz Pati帽o
Jose Luis Relova Quinteiro
Marcos Rios Garcia
Miguel Angel Rodriguez Diaz
Socorro Rodr铆guez Holgu铆n
Jannette Rodriguez Pallares
Maria Isabel Rodriguez-Moldes Rey
Eduardo Manuel S谩nchez Vila
Rosa Maria Se帽aris Rodriguez
German Sierra Paredes
Tom谩s Sobrino Moreiras
Samuel Suarez Suarez
Angela Juana Torres Iglesias
Francisco Javier Vicente Alba
Maria Vidal Millares
Ashwin Woodhoo
Montserrat Zurr贸n Ocio

Indicator

2018-2019

2019-2020

2020-2021

2021-2022

2022-2023

2023-2024

Offer

IN01
Offered places

Number of places offered for each academic year.

Scale info: Whole number

30,0

30,0

30,0

20,0

20,0

20,0

Enrolment

IN02
Enrollment

Number of students enrolled in an academic year without counting students from incoming mobility programs.

Scale info: Whole number

27,0

30,0

30,0

21,0

19,0

21,0

IN03
Access enrollment

Number of students enrolling in a study plan for the first time. This includes students who transfer their transcripts, access by partial validation of foreign studies or who adapt from plans in extinction.

Scale info: Whole number

20,0

18,0

20,0

12,0

16,0

18,0

IN04
New enrollment by pre-registration

Number of students who enroll in the first year of a study plan for the first time, that is, not counting students who access through partial validation of foreign studies, transfers or adaptations from plans in extinction.

Scale info: Whole number

20,0

18,0

20,0

12,0

16,0

18,0

IN05
Variation in new enrollment by pre-registration

Relative variation rate of new admission enrollment by pre-registration.

Scale info: Percentage with two decimal places.

25,0

-10,0

11,11

-40,0

-

-

Admittance profile

IN06
Average access grade by pre-registration

Average entrance grade for pre-registration of students starting studies. Determines the entry profile.

Scale info: Rational number with two decimal places. The range goes from 0 to the maximum value that can be obtained in each academic year for pre-registration (some historical values 鈥嬧媓ave been 10.00 points, 12.00 points or 14.00 points).

6,947

7,5628

7,4662

7,8226

7,4533

7,6558

IN08
Percentage of foreign students over total enrolled

Percentage of foreign students over enrolled students, excluding students enrolled in incoming mobility programs.

Scale info: Percentage with two decimal places

14,81

13,33

10,0

28,57

21,05

19,05

IN09
Percentage of national students from outside Galicia over total enrolled

Percentage of national students from outside Galicia on enrolled students, without counting students enrolled in incoming mobility programs.

Scale info: Percentage with two decimal places

11,11

10,0

13,33

9,52

10,53

4,76

IN13
Percentage of enrolled students who are 奇趣腾讯分分彩 graduates

Number of students enrolled in the master's program who graduated from 奇趣腾讯分分彩.

Scale info: Percentage with two decimal places

-

-

56,67

42,86

36,84

38,1

Adaptation to demand

IN12
Occupancy rate

Number of new students entering through pre-registration divided by the places offered.

Scale info: Percentage with two decimal places

66,67

60,0

66,67

60,0

80,0

90,0

Indicator

2018-2019

2019-2020

2020-2021

2021-2022

2022-2023

2023-2024

External mobility

IN18
Percentage of students received by 奇趣腾讯分分彩 from mobility programs over total enrolled

Number of students received at 奇趣腾讯分分彩 in that degree from other universities (mobility programs) divided by the number of students enrolled in the degree.

Scale info: Percentage with two decimal places

0,0

0,0

0,0

0,0

0,0

0,0

Indicator

2018-2019

2019-2020

2020-2021

2021-2022

2022-2023

2023-2024

IN22
Percentage of graduates in an academic year who completed internships in companies or institutions during their studies

Percentage relationship between graduates of a degree in an academic year who have carried out internships in companies and institutions throughout their studies, out of the total number of students graduating in that degree and in that same academic year.

Scale info: Percentage with two decimal places

0,0

0,0

0,0

0,0

0,0

0,0

Indicator

2018-2019

2019-2020

2020-2021

2021-2022

2022-2023

2023-2024

Drop-out

IN41
Dropout rate under RD 1393/2007

Percentage relationship between students in a new admission cohort who should have obtained their degree in the previous academic year and who did not enroll in either that academic year or the previous one.

Scale info: Percentage with two decimal places

6,25

0,0

16,67

10,0

25,0

18,75

Assessment

IN36
Evaluation rate

Percentage relationship between the total number of ordinary credits for which the students applied and the total number of ordinary credits enrolled.

Scale info: Percentage with two decimal places

77,52

82,6

81,08

78,1

77,02

71,36

Average duration of studies

IN38
Average duration of studies

Average duration (in years) in which students take to complete the credits corresponding to the curriculum.

Scale info: Rational number with two decimal places

1,1667

1,4375

1,1765

1,4

1,0833

1,1667

Efficiency of graduates

IN53
Efficiency rate (graduates' performance)

Percentage ratio between the total number of credits that a student passed during the degree in which he graduated and the total number of credits in which he enrolled.

Scale info: Percentage with two decimal places

94,91

85,82

94,55

88,89

96,38

97,36

Students per group

IN32
Average number of students per interactive teaching group

Relationship between the number of enrolled students and the number of interactive teaching groups.

Scale info: Rational number with two decimal places

10,1724

8,8438

9,5806

5,6129

8,2

9,2667

IN55
Average number of students enrolled in mandatory and basic training courses per theoretical group (lectures)

Relationship between the number of students enrolled in compulsory basic education subjects and the number of theory groups in those subjects.

Scale info: Rational number with two decimal places

19,5

18,75

19,5

13,25

15,75

18,5

IN56
Average number of students enrolled in elective courses per theoretical group (lectures)

Relationship between the number of students enrolled in optional subjects and the number of theory groups in those subjects.

Scale info: Rational number with two decimal places

7,6471

7,0

7,3889

4,0556

6,2778

7,0556

Success

IN35
Success rate

Percentage ratio between the total number of ordinary credits that students have passed and the total number of ordinary credits for which they have applied.

Scale info: Percentage with two decimal places

95,17

99,61

97,08

89,48

100,0

94,84

IN50
Success rate of graduates

Percentage relationship between the total number of credits that a student passed throughout the degree from which he/she graduated and the total number of credits that he/she applied for.

Scale info: Percentage with two decimal places

94,91

85,82

100,0

97,33

98,9

100,0

Graduation

IN37
Graduation rate

Percentage ratio between students who completed their studies within the time provided for in the study plan or in an additional academic year and their entry cohort. It shows information on the degree of effectiveness of the students and the institution in relation to their academic activity.

Scale info: Percentage with two decimal places

62,5

84,21

72,22

80,0

66,67

81,25

Performance

IN34
Performance rate

Percentage relationship between the total number of ordinary credits that students passed and the total number of ordinary credits in which they enrolled.

Scale info: Percentage with two decimal places

73,77

82,28

78,71

69,88

77,02

67,68

Satisfaction

IN23
Graduates' satisfaction with the public information available

Average rating of the graduate satisfaction survey with available public information.

Scale info: Minimum 0.00, maximum 5.00

1,8

-

-

-

-

-

IN33
Graduates' satisfaction with services

Average rating of the questions relating to satisfaction with the services of the graduate survey.

Scale info: Minimum 0.00, maximum 5.00

3,5556

-

-

-

-

-

IN42
General satisfaction of graduates with the degree program

Average rating of questions regarding satisfaction with the degree in the graduate survey.

Scale info: Minimum 0.00, maximum 5.00

2,8571

-

3,26

3,55

-

3,63

IN46
Students' satisfaction with the teaching received

Average rating of the student satisfaction survey with the teaching received.

Scale info: Minimum 0.00, maximum 5.00

4,29

4,56

4,04

4,82

4,25

4,05

IN47
Teachers' satisfaction with the teaching provided

Average rating of the teacher satisfaction survey with the teaching provided.

Scale info: Minimum 0.00, maximum 5.00

4,4256

4,0391

4,2857

4,2909

4,5789

4,3086

IN48
Response rate to the satisfaction survey

Percentage of response to the satisfaction survey by students.

Scale info: Percentage with two decimal places

25,0

31,0345

45,4545

6,25

11,1111

15,3846

Indicator

2018-2019

2019-2020

2020-2021

2021-2022

2022-2023

2023-2024

IN24
Percentage of Teaching and Research Staff (PDI) with six-year research periods

Percentage relationship between the PDI with six years and the total PDI with teaching in the degree and which can have six years

Scale info: Percentage with two decimal places

100,0

100,0

100,0

100,0

96,3

100,0

IN25
Percentage of PDI with a PhD over total PDI

Percentage ratio between the doctoral PDI and the total PDI with teaching in the title.

Scale info: Percentage with two decimal places

100,0

97,5

95,24

94,59

91,18

97,22

IN26
Percentage of civil servant PDI over total PDI

Percentage relationship between the official PDI and the total PDI with teaching in the degree.

Scale info: Percentage with two decimal places

69,77

62,5

61,9

67,57

67,65

72,22

The contents of this page were updated on 11.11.2024.