The Barcelona GSE Data Science Summer School introduces participants to some of the tools and methods of Data Science.

Course list for 2018

Two courses will be offered in the Data Science Summer School:

Week 1 (June 25-29, 2018)

  • The Data Science Toolbox and Machine Learning
    Instructors: Alexandros Karatzoglou and Ilias Leontiadis from Telefónica Research

Week 2 (July 2-6, 2018)

  • Bayesian Machine Learning in Social Sciences
    Instructors: Stephen Hansen (University of Oxford), Omiros Papaspiliopoulos(ICREA-UPF and Barcelona GSE), David Rossell (UPF and Barcelona GSE)

Course schedule

Each course in the Data Science program includes 20 hours of lecture time.

* LAPTOP REQUIRED In order to participate, you must bring your own portable computer.

Laptop required for practical courses

Practical courses will be held in a lecture room, not in a computer lab. Participants must bring a laptop in order to follow these sessions.

Entry requirements

Applicants to all Summer School programs should meet the basic entry requirements. In addition, Data Science participants are expected to have a basic knowledge of linear algebra, basic computing skills, and familiarity with any kind of programming language (not necessarily R, Python)


At the conclusion of the Summer Schools, participants will receive a certificate for the number of hours attended. All Barcelona GSE courses require an average of twice the lecture hours for readings, pre-readings and class preparation. Interested students should check with their universities to see if these hours are transferable into ECTS credits.

Program taught in:
  • English

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Last updated October 17, 2019
This course is Campus based
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Sep 2020
5 - 10 days
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Barcelona GSE Data Science Summer School