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Data Science Program at Barcelona Graduate School of Economics

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 learning methods, optimization and computing, and the ability to spot, assess, and seize the opportunity of data-driven value creation.


Students will learn how to apply classroom examples using real data and answering concrete business questions from the perspectives of different industries. Through an independent master's project and the opportunity for industrial practicum work conducted with local businesses, students can have the opportunity to solve actual analytics problems hands-on.


Our courses are taught by leading academics and researchers in the fields of Economics, Operations, and Statistics, as well as experienced professionals from the analytics industry.
 

The program also invites guest speakers and entrepreneurs working at the frontiers of the Data Science.


More information on this programme? Visit the website!

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Data Science Program at Barcelona Graduate School of Economics: Course Content

Program schedule

The Data Science program is organized around four pillars:


Statistics and Machine Learning
Optimization and Operational Research
Data Warehousing, Business Intelligence, and Big Data Analytics
Economics, Finance, and Policy-Making


In September, students are required to take two brush-up courses. Students who can provide evidence of sufficient past coursework may be exempt:


Introductory and intermediate computing for Data Science
A modern crush course in intermediate Statistics and Probability

Visit the website for further information on courses.


What skills and knowledge will I acquire in this program?

Expertise in modern computational, high-dimensional and simulation-based Statistics and Machine Learning

Solid evaluation of the opportunities of data-driven value creation within companies and organizations

Ability to apply appropriate statistical methodologies and optimization techniques in solving complex problems

Innovation with database management systems and distributed processing in a cloud computing environment

Experience analyzing Big Data from the Internet of Things (industrial sensor data), the Internet of People (social and location data), and business transaction data

Effective communication of data analysis results through presentation and aesthetic charting skills


More information on this programme? Visit the website!

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Data Science Program at Barcelona Graduate School of Economics: Career

Who hires Data Science graduates?

Consulting Firms
Financial Services
Government & Authorities
International Organizations / Non-profits
Technology
Research & Academic Institutions
Other Industries

 

Data Science alumni career paths

An overview of Data Science career paths in the first three cohorts (Class of 2016, 2017, 2018)

Most common job titles: Data Analyst, Data Scientist, Consultant
Most common industries: Technology, Financial Services, Consulting
Cities with most Data Science alumni: Barcelona, London, Frankfurt


More information on this programme? Visit the website!

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Data Science Program at Barcelona Graduate School of Economics: Admission

Who will benefit from this program?

Data Science students usually come from backgrounds in Economics, Business, and other quantitative subjects. They typically have a solid economics grounding, a keen interest in quantitative methods, and the ambition to work on real-world problems and data. Programming professionals and aspiring PhD students looking to acquire analytical and quantitative tools will also benefit from the Barcelona GSE Data Science Program.


Industrial Practicum

The industrial practicum is an in-depth analytics project that takes place during the final three months of the master. The practicum gives Data Science students the opportunity to complete a "deep dive" analytics project using real data from selected companies around Barcelona.


Students will dedicate 300 hours to the practicum, collaborating with companies on-site using real data to solve a specific challenge that requires the types of "skill bundles" they have acquired during the first two terms of the master program.


Companies that have expressed interest in offering practicum projects to Barcelona GSE students include commercial banks, consulting firms, mobile application developers, risk analysts, and online retail platforms, among others. With a wide menu of companies competing for their attention, students are very likely to be matched with a practicum in the industry where they might prefer to work after graduation.


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.

 

Application requirements

 

An undergraduate/bachelor/grado/laurea, or equivalent degree from an accredited college or university (for Bologna degrees, a minimum of 180 ECTS are required).

A typical applicant would hold a University Diploma in Economics, Finance, Engineering, Mathematics, Statistics or Business Administration. See our Student Profile for more detailed information.

An advanced level of English language skills: TOEFL score of 90 or better / IELTS Academic Test score of 6.5 or better

Not required but highly recommended:
GRE General Test

Note that the fulfillment of the application requirements does not guarantee admission. Candidates will also be evaluated on the following admission criteria:

Outstanding academic record
Quantitative skills
Reference letters


More information on this programme? Visit the website!

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Data Science - Impressions of your Masters study


More information on this programme? Visit the website!

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Institution

Barcelona Graduate School of Economics


Location: Barcelona Graduate School of Economics, Ciutadella Campus Ramon Trias Fargas 25-27
08005 Barcelona
Spanien
Catalonia
T   +34 93 542 12 34
E   admissions@barcelonagse.eu

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Facts about the Masters programme

Location

Barcelona

Field of study

Information Technology & Telecommunications, Social Sciences

Degree

Master's Degree in Data Science

Language

English

Start

Study fee per semester

-1

Application deadline

ask the institution

Type of study

Full-time

Duration of study: 9 months

Tuition fees EU: 18500 EUR / total costs

Tuition fees Non EU: 18500 EUR / total costs

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Facts about the Masters programme

Location

Barcelona

Field of study

Information Technology & Telecommunications, Social Sciences

Degree

Master's Degree in Data Science

Language

English

Start

Study fee per semester

-1

Application deadline

ask the institution

Type of study

Full-time

Duration of study: 9 months

Tuition fees EU: 18500 EUR / total costs

Tuition fees Non EU: 18500 EUR / total costs

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