Data Science

The Barcelona GSE Data Science Summer School offers two modules ofor 2019 edition:

Week 1 (July 1-5, 2019)

Foundations of Data Science
Instructors: Ioannis Arapakis (Telefónica Research), Omiros Papaspiliopoulos (ICREA-UPF and Barcelona GSE), Nandan Rao (GPEFM)

Week 2 (July 8-12, 2019)

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)

Week 3 (July 15-19, 2019)

Deep Learning and Applications
Instructors: Alexandros Karatzoglou and Ilias Leontiadis from Telefónica Research

Course leader

It is directed by Omiros Papaspiliopoulos (ICREA - UPF and Barcelona GSE)

Target group

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).

Course aim

The main aim of the Data Science Summer School is to introduce participants to some of the tools and methods of Data Science.

Credits info

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.

Fee info

EUR 1800: Regular Fee
EUR 1100: Reduced fee

Scholarships

Reduced Fee applies to PhD/Masters students, including Barcelona GSE students and Alumni.
Multiple course selection, groups and partner discounts are available.
EARLY BIRD discount if confirming by March 5, 2018