The Master in Data Science at the Barcelona Graduate School of Economics offers thorough training in predictive, descriptive and prescriptive analytics. With this training, graduates will be prepared to design and build data-driven systems for decision-making in the private or public sector.
The study program is organized around the following coordinates:
- Statistics and Machine Learning
- Optimization and Operational Research
- Data Warehousing, Business Intelligence and Big Data Analytics
- Economics, Finance, and Policy Making
Courses are taught both by leading academics in the fields of Statistics, Economics, and Operations Research, and experienced professionals from the Analytics industry. The study program also includes top guest speakers who are currently expanding the frontier of knowledge in Analytics. The students learn how to put in practice what is taught in the classroom by using real data and answering real business questions from a wide array of companies from different industries. Students have the opportunity to solve an entire Analytics project end-to-end during the practicum in a local company.
Upon successful completion of the program, students will receive a Master Degree in Data Science awarded jointly by Universitat Autònoma de Barcelona and Universitat Pompeu Fabra.
All Barcelona GSE master degrees have been recognized by the Catalan and Spanish Education authorithies within the framework of the Bologna Process (in Spanish, “Master Universitario o Master Oficial”).
This school offers programs in:
The Master program is a full-time nine-month program structured in three terms: Fall term (from September to December), Winter term (from January to March) and Spring term (from April to June). For more information, please download the academic calendar.
Depending on previous studies, students may be required to take brush up courses in Programming and/or Economics offered in September.
The degree requires the successful completion of 60 ECTS (European Credit Transfer System) credits of graduate courses (6 credits are equivalent to a 40 hour course).
Last updated January 20, 2016