The Accenture Data Science Scholarship is offered to one admitted student in the Barcelona GSE Master's Degree in Data Science.
The scholarship includes:
- All tuition fees for the master program
- Industrial Practicum at the Accenture Analytics Innovation Center during the spring term
Selection criteria:
- Outstanding academic background
- Demonstrated interest in working as a data scientist in a consulting firm
Selection process:
- All Data Science applicants will be considered for the Accenture Data Science Scholarship.
- Finalists will be contacted with detailed instructions regarding additional materials and steps in the scholarship selection process.
- Bachelor’s Degree in Economics, Maastricht University School of Business and Economics
- Master’s Degree in Economics and Finance, LUISS Guido Carli University
- Bachelor in Accounting and Finance, Corvinus University of Budapest
- Master in Economics, Central European University
- Bachelor in Economics, UPF
- International Exchange Program of Statistics, UCLA
- Master in Statistical Analysis, Ghent University
Recipients of the Accenture Data Science Scholarship
Hannah Gerits ’19
"As I studied Economics during my bachelor’s and master’s degrees and then worked at the European Central Bank, I realized the importance of being a statistical and computing literate not only in research, but in any field which requires data handling."
Academic background
Kinga Ritter '18
"I was always interested in Statistics and Economics, as recovering the reality from data, and understanding the forces forming our surroundings fascinated me. For me, it was essential to apply for a program that not only concentrates on cutting-edge technologies and methodologies but combines this toolkit with an economic framework."
Academic background
Read an interview with Kinga Ritter '18
Daniel Bestard '17
"Getting you hands dirty with data analysis makes you realise the hidden power of data. Data is worthless if there is no expert who can clean and analyse it in order to obtain useful information that can ease the decision making process of any institution."
Academic background