Admisión y matrícula

Nota: Esta web es sólo informativa y el proceso de preinscripción y matriculación se realiza en las universidades organizadoras del Máster (USC, UDC y UVigo). Por convenio, a cada estudiante se le aplicará la normativa de la universidad donde se haya matriculado, aunque se podrá cambiar de universidad de matrícula durante los estudios. Además, también se indica que los estudiantes no encontrarán dificultades que les impidan cambiar de universidad para cursar este título. Una información más precisa y actualizada sobre el calendario, preinscripción, matriculación, listas de admitidos,.... puede encontrarse en las webs principales (sección docencia en Másteres de cada una de las tres universidades gallegas).

  • Criterios de admisión y selección

Número de plazas de cada Universidad:

  1. Universidad de Santiago de Compostela: 25 plazas.
  2. Universidad de A Coruña: 25 plazas.
  3. Universidad de Vigo: 25 plazas.

Pruebas de acceso especiales. No se establece ninguna prueba de acceso especial para este Máster.
La admisión en el programa se realizará teniendo en cuenta los siguientes aspectos: titulación de acceso (70% - hasta 7 puntos), expediente del alumno (20% - hasta 2 puntos) y currículum vitae del candidato (10% - hasta 1 punto). Las titulaciones de acceso se puntuarán según su grado de contenido estadístico y de investigación operativa, visto el expediente del estudiante. A modo de referencia, los contenidos propios de un Grado en Matemáticas, se evaluarán entre 6 y 7 puntos, dependiendo de si el estudiante ha cursado materias optativas complementarias de contenido estadístico o de investigación operativa. Otros títulos de grado con un contenido relativamente amplio de estadística descriptiva e inferencia estadística se evaluarán entre 5 y 6 puntos, dependiendo también de la optatividad cursada. Como referencia se incluyen en este grupo los Grados en Biología, Psicología, Ingeniería, Medicina, Administración y Dirección de Empresas, Economía u otros similares. Los restantes títulos de grado que tengan con un contenido básico de estadística entendiendo como tal que no existe una materia dedicada a la introducción de conceptos estadísticos, sino que la estadística es utilizada como herramienta instrumental se evaluarán entre 3 y 4 puntos.

A continuación presentamos un documento en el que los criterios arriba mencionados han sido desarrollados:
BaremoAdmisión

Calendario de Pre-inscripción y Matrícula


Esta información se irá actualizando a medida que las universidades vayan anunciando los plazos de matrícula para el curso 2024-2025. Se recomienda consultar siempre las webs oficiales de cada una de las tres universidades.

USC

(2024-2025)

Web oficial de la USC

Calendario Completo USC

 

UDC

(2024-2025)

Web oficial de la UDC
Procedimiento UDC

 

UVigo

(2024-2025)

Web oficial de la UVigo
Calendario Completo UVigo


Admisión y matrícula a tiempo parcial:

La USC y la UVigo permiten matricularse parcialmente de los cursos de forma que el alumno realice el Máster en el doble de tiempo siguiendo un Plan de Estudios que el alumno acordará con el coordinador del Máster. La UDC permite una matriculación parcial del curso más flexible, pudiéndose matricular de menos asignaturas en cada curso. Para ello el alumno debe tener la aprobación del coordinador del Máster. Para una mayor información sobre este tipo de matrícula ponerse en contacto con el coordinador del Máster en la universidad correspondiente.

Admisión y matrícula - Más información

4 ofertas de empleo: Data scientist / Big Data Analytics (OF0217) Gradiant

Data scientist / Big Data Analytics (OF0217)

You will join our eLearning line of research, where we aim to improve education through the introduction of technology, by using learning analytics techniques within multidisciplinary teams of technicians, publishers, students, teachers and designers. It is an excellent opportunity to work in projects with national and European impact within self-organized teams using agile methodologies. Gradiant employees enjoy an excellent working environment with flexible hours, ideal to develop your personal and professional skills following our training and career plans.

Main duties of the job:

  • Design a Big Data architecture to support our real-time processing engine of the learning process.
  • Lead and/or coordinate the introduction of Big Data technologies to improve the performance of our processing capabilities.
  • Select and implement the most suitable Big Data Analytics tool alternative for each feature.


Skills required:

  • BsC/MsC in Telecommunications Engineering, Computer Science or related degrees.
  • Interest or experience in (Real-Time) Big Data Analytics tools: Apache Spark, Hadoop ecosystem, Apache Storm, Apache Flume and / or Apache Kafka.
  • Interest or experience in using data mining and / or Machine Learning tools (R, Weka, RapidMiner…).


Skills to be valued:

  • We are looking for a proactive and organized person, with strong teamwork capabilities.
  • Particular interest in finding solutions through data analytics.
  • A Master Degree in Computer Science, Information Technologies or Mass Analytics Technologies will be an asset.
  • B2 English level.

Más información aquí y aquí

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www.gradiant.org

Alumnado matriculado



Curso: 2023/2024
Número de matriculados: 100
Blanco Seijas, Adrián (USC)
Vázquez Quintela, Airas (USC)
Vilar González, Alba (USC)
Camino Enríquez, Alba (USC)
Couce Rodríguez, Alberto (UDC)
Aneiros Batista, Alexandro (UDC)
Carballo Puebla, Alfonso (USC)
de Prado Saborido, Álvaro (UVIGO)
Añón Dosil, Álvaro (UDC)
Fernández Theotonio, Álvaro (USC)
Domínguez Fernández, Ana (USC)
Blanco Bugueiro, Ana (USC)
Cao Ríos, Ana (USC)
Fidalgo Clase, Ana (USC)
González López, Andrea (USC)
López Fernández, Andrea (USC)
Domato Sousa, Andrés (UVIGO)
Mourelle Abelenda, Ángel (USC)
Narciso Estévez, Ángel José (UVIGO)
Rodríguez Ortiz, Anne (USC)
Rodríguez de Castro, Antón (USC)
Quintela Ferreiro, Antón (UDC)
Cadaveira Regueiro, Berta (USC)
Ben Arribi, Carlos (USC)
Lanzós López, Carlos (UVIGO)
Arias Morales, Carolina (USC)
Melendi Ortega, Celia (USC)
Pacheco Vera, César Abraham (USC)
Martínez Pérez, Clara (USC)
Mogo Castro, Cristian (USC)
Marques Corrales, Cristian (UVIGO)
Jove Díaz, Daniel (UDC)
González Paz, Daniel (UDC)
González Fariña, Daniel (UDC)
Gómez González, Daniela (USC)
Graña Vázquez, David (USC)
Barros Caballero, Denis (UVIGO)
Domínguez González, Emma (USC)
Sarante de los Santos, Erick Joaquín (UDC)
Castaño Otero, Fernando Martín (UDC)
Picchi Figueira, Florencia (USC)
Vicente Iglesias, Gemma (USC)
Alvarez Socorro, Gleisis (UVIGO)
Portela Vázquez, Guillermo (UDC)
González Vázquez, Héctor (USC)
Méndez Martínez, Hugo (UVIGO)
Iglesias Gende, Iria (USC)
Juan Sierra, James (UDC)
Lema Vidal, Jesús Manuel (UDC)
Morales Chávez, Joel Marcelo (USC)
Vázquez López, Johanna Karewith (UDC)
Delgado Briceño, Jorge (UDC)
Galcerán Francioni, Jorgelina Lais (UDC)
Aguete Outón, José Ignacio (UVIGO)
Orgeira Beiro, José Raúl (UDC)
Molina Valero, Juan Alberto (USC)
Recalde Pequeño, Juan José (UDC)
Rumipamba Chicaiza, Klever Azael (UDC)
Rodríguez Mouriño, Laura (UVIGO)
Martínez García, Laura (USC)
Alamancos Rodríguez, Luis (USC)
Álvarez Rodríguez, Manuel (USC)
Fernández de Dios, Manuel Florencio (USC)
Gómez Rodríguez, Marcos (UDC)
Carballido Lago, Marcos (USC)
de la Fuente Blanco, María Dolores (USC)
Francesch Domenech, Maria Erika (UDC)
Pérez Sierra, María Gabriela (UDC)
Hidalgo Sulbarán, María Gracia (USC)
Villar Guerra, María Teresa (UVIGO)
Ramallo Blanco, Marina (USC)
Mañá Blanco, Marta (UVIGO)
Basdediós Tilve, Martina (USC)
Soto Tielas, Mateo (UVIGO)
Cabaleiro Lago, Matías (UVIGO)
Vidal Antepazo, Mauro (USC)
Peralta Paniagua, Miladys (UDC)
Queiro Alberte, Nahir (USC)
Ventura Jiménez, Natanael (UVIGO)
Sánchez Martínez, Noelia (USC)
Benavente Fernández, Olamar (UVIGO)
Martos Dourado, Óscar (UDC)
Carballo Fraguas, Pablo (USC)
Iglesias Hernández, Pablo (UVIGO)
Álvarez González, Pablo (UDC)
Menéndez-Trillo, Pablo (USC)
Soto Rodríguez, Paula (USC)
Seoane Giao, Paula (USC)
Fermín González, Rikelvi Felipe (UDC)
Vilela Picos, Sandra (USC)
Reinal Giménez, Santiago (USC)
Arce Pilo, Santiago (UVIGO)
Barbeito Herrero, Sara (USC)
Costa Carballo, Telmo (USC)
Rodríguez Rodríguez, Tomé (UVIGO)
Tomeo, Toribio (USC)
Platas García, Víctor (USC)
Suárez Dios, Xabier (UVIGO)
Bonifacio Durán, Yeuri de Jesús (UDC)
Li, Yili (UVIGO)
Alumnos matriculados en materias sueltas u otro tipo de máster:0
Alumnos matriculados Formación Complementaria/Acceso Doctorado:0
Alumnos de otro máster:1
Mascareñas Pazos, Alicia (UDC)

Open positions VU University Amsterdam

Terug naar het overzicht
ASSISTANT/ASSOCIATE/FULL PROFESSORS IN ECONOMETRICS AND DATA SCIENCE
Voor 1.0 fte
Vacaturenummer 18383
VU onderdeel: External

Are you driven for research and teaching in econometrics and data science in a young, dynamic group? Then Vrije Universiteit Amsterdam would like to get to know you. Apply for the position of:

ASSISTANT/ASSOCIATE/FULL PROFESSORS IN ECONOMETRICS AND DATA SCIENCE

Location: AMSTERDAM
Hours per week: 40 hours

Job description
We seek two new colleagues who contribute to building and extending the department’s reputation for excellence in research and teaching. Our research aims at having impact, evidenced by publications in top international academic journals. Teaching focuses on econometrics and data science courses and student supervision. Applicants for starting positions receive a well-structured tenure track.

Your duties
• doing innovative research and publish this research at the highest level in the international top journals in your field
• creating a stimulating learning environment for students in econometrics and data science at all levels (BSc, MSc, PhD), and continue to improve teaching quality
• being active in acquiring additional research funds, both individually and as a team effort with your colleagues
• for senior positions: taking a leading role in the team that develops and manages our bachelor and master programmes in econometrics, operations research and data science

Requirements
• a PhD degree, specializing in econometrics, statistics, machine learning, data science, or a related field.
• junior position applicants: strong research potential, teaching experience with good evaluations
• senior position applicants: strong proven track record in research and teaching, experience in curriculum development and management, experience in research valorization, team player
• fluency in English

What are we offering?
A challenging position in a socially involved organization.
For the job profile of Full professor, the remuneration on a full-time basis amounts to a minimum gross monthly salary of € 5441,-. and a maximum € 7921,- in accordance with salary scale H2, depending on your education and experience. The job profile (Hoogleraar 2) is based on the university job ranking system.
For the job profile Associate professor (Universitair Hoofddocent 2) the remuneration amounts on a full-time basis to a minimum gross monthly salary of € 4911,- and a maximum € 5978,- in accordance with salary scale 13, depending on your education and experience.

For the job profile of Assistant professor (tenure track), the remuneration on a full-time basis amounts to a minimum gross monthly salary of € 3545,- and a maximum € 4852,- in accordance with salary scale 11, depending on your education and experience. The job profile (Universitair docent 2) is based on the university job ranking system.
The initial employment contract for an Assistant professor will be for a period of 6 years, with the possibility of Tenure. The tenure track position involves research (40%) and teaching (60%). At the end of the second year a performance evaluation will take place. The Tenure Track Committee will review your file including the evaluation and advice on the continuation of your tenure track. In the fifth year, the Tenure Track Committee will review your file in order to decide upon the tenured assignment, based on the assessment criteria of the Tenure Track system at SBE.

Additionally, Vrije Universiteit Amsterdam offers excellent fringe benefits and various schemes and regulations to promote a good work/life balance, such as:
• a maximum of 41 days of annual leave based on full-time employment
• 8% holiday allowance and 8.3% end-of-year bonus
• considerable employer’s contribution to the ABP pension scheme
• contribution to commuting expenses
• optional model for designing a personalized benefits package
• a relocation allowances
• you may also be eligible for a favorable tax ruling for high-skilled expats (the so-called 30% ruling), which means that 30% of the salary is free of taxes, resulting in a higher net salary.

About Vrije Universiteit Amsterdam
The ambition of Vrije Universiteit Amsterdam is clear: to contribute to a better world through outstanding education and ground-breaking research. And to be a university where personal education and societal involvement play a leading role. Where people from different disciplines and backgrounds work together on innovations and on generating new knowledge. Our teaching and research embrace the whole spectrum of science – from the humanities, the social sciences and the pure sciences through to the life sciences and the medical sciences.

Vrije Universiteit Amsterdam is home to more than 23,000 students. We employ more than 4,500 individuals. The VU campus is easily accessible, located in the heart of Amsterdam’s Zuidas district, a truly inspiring environment for teaching and research.

School of Business and Economics
The School of Business and Economics (SBE) provides high-quality education and excellent research in business administration and economics with a focus on contributing to the social, economic and ecological challenges of our time. Whether it is the use of robots in society or big data, labour market participation or flexibility in the labour market, traffic jams or the housing market, flash crashes in the stock market or choice behaviour in gambling, leadership or change management: we believe in goal-oriented scientific research and understand that progress in academics, the business community and society is achieved through cooperation, openness and social responsibility.

At SBE, all of our highly-motivated colleagues work together closely in a stimulating, dynamic and international environment to achieve our collective goal of encouraging society to make informed choices. Approximately 4,200 Bachelor’s and Master’s students and 1,700 executive students are enrolled at the School, and employs roughly 500 people.

The Department of Econometrics and Operations Research is driven for science with purpose, pushing the academic frontier by publishing at the highest level in the top international journals in our field and collaborating with outside partners to link academic advancement with real world problems. Teaching wise, our mission is to empower students with the methodological skills and enduring curiosity to contribute to solving today’s challenges in business and economics. Read more about our top rated BSc in Econometrics and Operations Research, our recent BSc specialization in Econometrics and Data Science, our top rated MSc in Econometrics and Operations Research and our highly successful minor programme Applied Econometrics. We also actively participate in the Tinbergen Institute and Amsterdam Business Research Institute, our internationally renowned joint graduate schools in Business and Economics. The department offers many collaboration opportunities for econometricians and data scientists, both within the department (time series modeling, forecasting, non-parametric and adaptive models, optimization methods, networks), across departments of SBE (labor and geno economics, spatial economics, finance, business), and across schools (business mathematics, artificial intelligence, life sciences).

Diversity
Diversity is one of our university’s core values. We are an inclusive community, and we believe that diversity and international activities enhance the quality of education and research. We are always looking for people who can enhance diversity on our campus thanks to their background and experience.

Application
Are you interested in this position? Send us an e-mail with your curriculum vitae detailing your publications and teaching experiences, cover letter and letter of references by 6 December 2018. Mention vacancy number 18383 Applicants for the tenure track position should make sure to add 3 letters of reference, their job market paper, and teaching evaluations if available. We plan to be available for interviews at the EEA and/or AEA meetings, but may also schedule online interviews at an earlier stage.

Name: Mrs. M. Maletic
Position: Managing Director SBE
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Vacancy questions
If you have any questions regarding this vacancy, you may contact:

Name: Siem Jan Koopman
Position: Head of recruiting committee
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Telephone: +31 20 598 6019

Name: Andre Lucas
Position: Head of department
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Telephone: +31 20 598 6039

Relocation support
If you have any questions regarding moving to Amsterdam, and working at VU Amsterdam, you may contact:
Name: Wytske Siegersma
Position: Relocation Advisor
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Telephone: +31 (20) 59 85037

More information

Becas

En el apartado de noticias se publica la información relativa a convocatorias de becas y ayudas.
Además, puede obtener información referente a BECAS en las correspondientes webs de las tres Universidades organizadoras.


Más información sobre becas:

Alumnado procedente del extranjero

Becas para extranjeros para Investigaciones y Estudios de Postgrado y Especialización en Organismos Públicos Españoles y Centros Docentes No Universitarios (Programa MUTIS para solicitantes iberoamericanos) (apartado "Clases de becas MAEC-AECID")
Ford Foundation International Fellowship Program
Becas de la Secretaría Xeral de Emigración destinadas a gallegos y descendientes residentes en el extranjero

Alumnado procedente del Sistema Universitario Español

Becas para cursar estudios de Másteres Oficiales del Ministerio de Educación y Ciencia
Becas de la Consellería de Educación (Xunta de Galicia) para la realización de estudios oficiales de postgrado en las Universidades del Sistema Universitario de Galicia (SUG) conducentes al título de Máster
Becas de la Fundación Caixa Galicia-Claudio San Martín para estudios de postgrado
Becas de la Obra Social Fundación "La Caixa" para la realización de Másteres en España
Becas de la Fundación "Caja Madrid" para la formación de postgrado de titulados universitarios residentes en España
Becas de la Obra Social de Caja España para la realización de Másteres en España
Becas de la Fundación Rafael del Pino