Data Science Summer School Barcelona School of Economics
| Award | Attendance | Study | Duration | Start | Domestic fees | International fees |
|---|---|---|---|---|---|---|
| Summer School | On-Campus | Full-time | find out | June, July | find out | €2400.00 total per |
The price of each course includes 8, 18 or 20 hours of lecture time. Multiple course discounts are available. Fees for courses in other Summer School programs may vary.
Courses including 8 Lecture Hours are priced as follows:
- Regular Fee: 800€
- Reduced Fee*: 440€
Courses including 18 Lecture Hours are priced as follows:
- Regular Fee: 2150€
- Reduced Fee*: 1200€
Courses including 20 Lecture Hours are priced as follows:
- Regular Fee: 2400€
- Reduced Fee*: 1300€
* Reduced Fee applies to PhD/Masters students, including Barcelona GSE students and alumni. See more information about available discounts or request a personalized discount quote by email.
Course overview
The Barcelona GSE Data Science Summer School introduces participants to some of the tools and methods of Data Science.
Course list for 2020
Week 1 (June 29 - July 3, 2020)
- Computing for Data Science
Instructor: Omiros Papaspiliopoulos (ICREA-UPF and Barcelona GSE)
This course takes place on Sunday, June 28 - Foundations of Data Science
Instructors: Omiros Papaspiliopoulos (ICREA-UPF and Barcelona GSE), Nandan Rao (BGSE Data Science Center), and Joan Verdú (BGSE Data Science Center)
Week 2 (July 6-10, 2020)
- Computing for Data Science
Instructor: Omiros Papaspiliopoulos (ICREA-UPF and Barcelona GSE)
This course takes place on Sunday, July 5 - Using Text as Data for Public Policy: Machine Learning meets Economics
Instructors: Hannes Mueller (IAE-CSIC and Barcelona GSE), Ruben Durante (UPF and Barcelona GSE), and Nandan Rao (BGSE Data Science Center)
Week 3 (July 13-17, 2020)
- Computing for Data Science
Instructor: Omiros Papaspiliopoulos (ICREA-UPF and Barcelona GSE)
This course takes place on Sunday, July 12 - Deep Learning and Applications
Instructors: Alexandros Karatzoglou (Google Research), Ilias Leontiadis (Samsung AI), and Carlos Segura (Telefónica Research)
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)
The Barcelona GSE Summer School courses are taught at a high academic standard. A strong background in Economics or related fields is a must. Holding a postgraduate degree, or currently studying in a Master's or PhD program, and/or having related professional experience, are key factors that make an application successful.
As part of your online application, you will be required to upload the following documents:
- Up-to-date CV
- Proof or reference for each course fee discount that you are entitled to (if applicable)
Courses are taught entirely in English. While no language certificate is required at the moment of application, participants are expected to have enough command of the language to follow and benefit from the course without causing disruption to the development of the class.
Courses you may be interested in at other institutions
Foundation Courses
If you are planning to study abroad, but you don't meet the academic entry requirements, consider a foundation or pathway course.
This type of course often helps to bridge the academic gap and help to prepare you for life studying abroad.
Selected courses shown below:
