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BIG DATA AND ARTIFICIAL INTELLIGENCE SOLUTIONS (2022-2023)

General information

This course may undergo changes in the calendar, teaching methodology or assessment procedure depending on the course of events and the guidelines of health authorities in relation to the COVID-19 crisis. Notwithstanding, the quality of the training and the achievement of objectives are guaranteed in all cases.
Qualification awarded: Master (Degree IL3-UB)
Management:
  • Gago Huerta, Sergio
Number of credits: 60,00
Length of course (in academic years): 1
Mode of delivery (face-to-face/ blended/ distance): Face-to-face
Centre responsible : Institute for LifeLong Learning IL3-UB
In-company placement(s): No
Enrolment fee:
  • 17.000,00 €
  • An increase of 10% is applied to the price, up to a maximum of € 70, as administration fee
Classes begin: 10/3/2022

Objectives and admission

Learning objectives:
To develop the most sought after knowledge and skills in big data that help identify valuable information and promote innovation in companies or institutions by using the most advanced disciplines and technologies in the sector.

Recommended applicant profiles and admission requirements:
International graduates, preferably with degrees related to technology, computer science, science or business, with a solid grounding in statistics and a high level of English, as this is the primary language of instruction at the Barcelona Technology School and all master's degree are taught in English.

Barcelona Technology School considers diversity a core value, in relation both to gender balance and to the nationality of its students. Related professional experience is not required but will be taken into account when assessing candidates.

Admission for applicants not holding a degree qualification:
Students who are not university graduates may be admitted on these courses. These students will be eligible for a university extension course certificate.Information regarding the entry requirements in this case can be obtained from the course coordinators.

Date on which pre-enrolment begins: 7/1/2022
Date on which pre-enrolment ends: 9/16/2022

Further information

FACULTY OR SCHOOL WHERE THE COURSE IS TAUGHT

Name of individual or institution: Barcelona Technology School
Address: Carrer del Consell de Cent, 419 08009 Barcelona Espanya
Email address: info@barcelonatechnologyschool.com
Webpage: http://barcelonatechnologyschool.com
Telephone: 932714244

Observations: Monday to Thursday, from 9 a.m. to 1 p.m.


FOR FURTHER ENQUIRIES

Name of individual or institution: Barcelona Technology School
Address: Carrer del Consell de Cent, 419 08009 Barcelona Espanya
Email address: info@barcelonatechnologyschool.com
Webpage: http://barcelonatechnologyschool.com
Telephone: 932714244

Observations: Monday to Friday, from 9 a.m. to 2 p.m. and from 3 to 6 p.m.

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