Máster Inglés 2 años · 120 ECTS

Data Science

University of Oslo · Oslo, Noruega
MatrículaPregunta a un asesor
Duración2 años · 120 ECTS
Idiomas de enseñanzaInglés
TitulaciónMáster
Créditos120 ECTS
Institución que lo imparte

University of Oslo

Oslo, Noruega · Programa acreditado

Perfil de la universidad
De un vistazo

Data Science (Máster) se imparte en University of Oslo, Oslo. Dura 2 años · 120 ECTS. Se imparte en inglés.

Resumen del programa

Data Science is the science of extracting knowledge or insight from various types of data. The study of Data Science combines mathematics, statistics and informatics making you ready for meeting the data revolution. A brief description of the programme With a Master of Science in Data Science, you will be well prepared to face a major challenge in today's society: how to utilize the information contained in the vast amounts of data that are being collected in various areas such as medicine, finance, environment, and social media. The master's programme in Data Science is based on an interdisciplinary background in statistics (probability theory, inference, machine learning) and computer science (algorithms, visualization, database) in addition to a solid foundation in general mathematics. Modern data collection is characterised by volume (the amount of data), variety (the many different types of data including numbers, text and videos) and velocity (the dynamic collection and need for processing data). Extracting knowledge and insight from such data requires several different skills. Many tools are available, but the need for an understanding on what these tools do and how they can be applied or modified to a specific problem requires deep methodological understanding of all the topics within the Data Science production chain. This programme will give you a combination of theoretical basis and practical experience, from problem definition to data extraction and preprocessing to analysis and in the end presentation of the results. The program will focus on both the breadth and specialization in various subjects. The master's programme has the following specializations: Statistics and Machine Learning Database Integration and Semantic Web Data Science and Life Science Language Technology Digital Image Processing The programme will be based on projects in the master's thesis which are related to real problem in industry, public sector as well as from other scientific disciplines. Such projects will be fostered through the two Centre for Research-based Innovation BigInsight and Sirius as well as through our professional contacts with other communities both at the University and outside. Study environment We know that students who thrive are students who are more successful in the academic profession. That's why we want you to be a student with us! We start the semester with a joint meeting for all new students where you will get practical information about the studies and you will be greeted by those responsible for the programme. It is mandatory to meet at the welcome meeting. At the start of the study you will get the opportunity to get acquainted with old and new students and employees, both professionally and socially. If you are looking for something practical about your study, or need guidance, please contact us. The University of Oslo has a rich student life with over 200 student associations. We encourage all our students to engage in socially. As a student, you have access to pleasant student areas, both for study and social activities, in close association with the research communities. Read more about Student Life. Studies abroad You can travel on exchange through the key agreements the University of Oslo offers. We recommend that you travel preferably in the second, possibly in the third semester. Another possibility is staying abroad in connection with the work with the master's thesis. Career prospects After studying, you will have a good foundation for working in a number of areas both in private and public sector. Many of our master's theses are directly linked to the issues and activities of technology companies and institutions in Norway. Some of the master's degree students who achieve very good academic results continue to pursue a research career by taking a doctorate (Ph.D.) at the University of Oslo or a university abroad. Honours certificate Are you academically ambitious? It is possible to supplement your master's degree with an honours certificate worth 20 credits. You take the certificate concurrently with the master's programme.

CiudadOslo
Carga de créditos120 ECTS

Requisitos de admisión

Requisitos habituales en Noruega para este nivel. Tu asesor te da la lista final.

  • Una titulación terminada que dé acceso a estudios de Máster.
  • Certificado de notas y cualquier prueba específica que pida la institución.
  • Tu asesor comprueba los requisitos finales según tu sistema educativo y tu convocatoria.

Requisitos de idioma

Se imparte en inglés.

InglésIdioma principal de enseñanza
LanguageCert AcademicPregúntanos

Prepara y reserva LanguageCert Academic con SIT Connect

Documentos necesarios

Una lista habitual para este nivel. Tu asesor te da la lista final.

Pasaporte o documento de identidad
Título anterior o certificado de graduación
Certificado de notas
Acreditación del idioma de enseñanza, si el programa la pide
Formulario de solicitud completo y una foto reciente
Currículum y carta de motivación
Homologación o equivalencia de tu título, si el programa la pide

Acreditación

El catálogo central registra este programa como acreditado.

Pasos de la solicitud

1Elige el programa

Revisa los datos verificados y los requisitos de este nivel.

2Comprueba tu perfil

SIT Connect revisa tu formación y tu nivel de idioma.

3Prepara los documentos

Reúne los documentos de la lista anterior.

4Envía una solicitud de información

Envía tus datos ahora. SIT Connect te avisa de cuándo abre la próxima convocatoria, antes de la solicitud formal.

Preguntas frecuentes

¿Cuánto dura Data Science?

El catálogo oficial indica una duración de 2 años · 120 ECTS y 120 ECTS.

¿En qué idiomas se imparte Data Science?

Se imparte en inglés.

¿Cuánto cuesta la matrícula?

La matrícula de este programa aún no está publicada. Un asesor te puede indicar el importe actual.

¿Puedo solicitar plaza ahora?

There is no active intake for this programme.

Start application request
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