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BIG DATA & DATA SCIENCE (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 Universitat Barcelona)
Management:
  • Lorente Muñoz, Dolores
Number of credits: 60,00
Length of course (in academic years): 1
Mode of delivery (face-to-face/ blended/ distance): Distance
Centre responsible : Institute for LifeLong Learning IL3-UB
In-company placement(s): No
Enrolment fee:
  • 5.830,00 €
  • An increase of 10% is applied to the price, up to a maximum of € 70, as administration fee
Classes begin: 11/3/2022

Objectives and admission

Learning objectives:
- To learn to work on real cases by applying data science techniques.
- To gain broad knowledge of the display of data and digital data.
- To be able to extract relevant information for the company through the application of data science techniques and learn to carry out efficient web scraping.
- To learn to develop algorithms for neural networks, deep learning and advanced machine learning.
- To acquire an advanced understanding of programming in R and Python.
- To work and develop projects in SQL, MongoDB, Spark and Hadoop.
- To improve in the efficient use of time with methodologies such as Agile or Scrum.

Recommended applicant profiles and admission requirements:
Preferably, students with technical profiles who are interested in developing their professional career in the field of analysis and management of large volumes of data.

Admission requirements:
- Engineers or bachelor's degree holders in Computer Science, Telecommunications or Industrial Technologies.
- Bachelors/graduates in mathematics, physics, chemistry and statistics are given priority.

Access for students without a university degree who have been working in the areas of business intelligence, business analytics, etc. for at least two years may be considered. In this sense, they can access the course if they fit into one of these technical profiles:
- People with knowledge of analysing and managing data or at least two years of work experience in analytical departments.
- People with knowledge of programming (preferably SQL, Python or R) or who have programmed for at least two years in a company.

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: 4/1/2022
Date on which pre-enrolment ends: 10/26/2022

Further information

FACULTY OR SCHOOL WHERE THE COURSE IS TAUGHT

Name of individual or institution: Institut de Formació Contínua - UB
Address: C/ Ciutat de Granada, 131 08018 Barcelona Espanya
Email address: info@il3.ub.edu
Webpage: http://www.il3.ub.edu
Telephone: 93 403 96 96
Fax: 93 403 96 97
Observations: Online learning.


FOR FURTHER ENQUIRIES

Name of individual or institution: Institut de Formació Contínua - UB
Address: C/ Ciutat de Granada, 131 08018 Barcelona Espanya
Email address: info@il3.ub.edu
Webpage: https://www.il3.ub.edu/ca/master-big-data-science
Telephone: 93 403 96 96
Fax: 93 403 96 97
Observations: Monday to Friday, from 9 a.m. to 7 p.m.

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