Objectives and competences

The master's degree in Big Data and Data Science has a totally practical approach to respond to the need of companies to incorporate specialized professionals. The course gives participants the skills they need to learn how to use and implement the major tools required for data science, such as Hadoop and Spark, various NoSQL and SQL databases and tools for the implementation of machine learning, neural networks and deep learning, in addition to cloud tools (laaS, PaaS, SaaS, Google, Azure, AWS, etc.) and tools for control (Github, etc.) and and analysis (programming in R and Python).

Basic information

TypePostgraduate courses
CertificateLifelong learning master's degree certificate
Faculty or schoolInstitut de Formació Contínua IL3
Branch of knowledge
  • Computer and systems engineering
Mode of deliveryDistance
Credits60
Length of course1 academic year
Language(s) of instructionSpanish
Enrolment fee:First year: 6.125,00 €
An increase of 10% is applied to the price, up to a maximum of € 70, as administration fee
In-company placement(s):No
Classes begin:19/03/2024
E-mailinfo@il3.ub.edu
Master's degree course homepage https://www.il3.ub.edu/ca/master-big-data-science
ManagmentLorente Muñoz, Dolores
Open pre-enrolmentNo
Lead to doctoral studiesNo
Admission for applicants not holding a degree qualification:Sí, amb crèdits pendents (10% o menys)

Objectives and competences

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.

Access and admission

Applicant profile and access requirements

Recommended applicant profile

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.

Access requirements and conditions

The course is also open to students with no prior university education, who will acquire the same knowledge and skills and receive a specific qualification for their learner group. Information on the access requirements and other conditions can be obtained from the course directors.

Pre-enrolment

Contact us

Faculty or school where the course is taught


Address:Institut de Formació Contínua - UB
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
Observations:Online learning

For further enquiries


Address:Institut de Formació Contínua - UB
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
Observations:Monday to Friday, from 9 a.m. to 7 p.m.