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The digital revolution brings with it an explosion of data that carries significant potential value for businesses, science, and society.
As data becomes easily available as never before, so too does its volume grow, and extracting useful quantitative insights becomes more and more challenging.
The Barcelona GSE Master in Data Science prepares its graduates to design and build data-driven systems for decision-making in the private or public sector, offering a thorough training in predictive, descriptive, and prescriptive analytics.
The curriculum will guide students from modeling and theory to computational practice and cutting edge tools, teaching skills that are in growing global demand.
Data Science students will be armed with a solid knowledge of statistical and machine
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At the Barcelona GSE we look for excellence and talent. Key elements of a strong application are a high GPA, a sound statement of purpose and a standout reference letter. Strong knowledge in Economics and good quantitative skills are also recommended.
Please contact our Admissions Counsellors to request personalized guidance during your application process.
Financial Support is available, based on academic merit in competition with all other candidates. Every applicant is considered for all available financial aid opportunities.
The Barcelona GSE is a leading institution for graduate education and research in Economics, Finance, and Data Science. We bring talented, motivated students from more than 40 countries to Barcelona and connect them with top-ranking researchers, experienced teaching faculty, international alumni, and a strong recruiter network.Read more
Being part of the first batch of the Data Science masters was a firm yet fun foray into the magic that math and programming can perform! The focus of this program was to nurture mathematical, probabilistic and statistical maturity, followed by a series of applied projects in different courses. This rigorous approach equipped us with the tools that ensured that we graduated at the top percentile of the data scientist work force. At the same time, it provided us with a more research oriented mindset that data science demands from its practitioners.
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