Studyportals

Data Science

Pompeu Fabra University

Master On Campus
12 months
Duration
18500 EUR/year
18500 EUR/year
Unknown
Tuition fee
Unknown
Unknown
Apply date
Unknown
Start date

About

The Master in Data Science at Pompeu Fabra University curriculum will guide students from modeling and theory to computational practice and cutting edge tools, teaching skills that are in growing global demand. 

Overview

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 at Pompeu Fabra University 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.

Programme Structure

Courses include:

  • Statistical Modelling and Inference
  • Deterministic Models and Optimization
  • Data Warehousing and Business Intelligence
  • Computational Machine Learning
  • Economic Methods for Data Science

Key information

Duration

  • Full-time
    • 12 months

Start dates & application deadlines

Language

English

Credits

60 ECTS

Delivered

On Campus

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
Required
GRE admission requirements GRE® The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. It contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.
Required

English requirements

IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
5.5

Other requirements

General requirements

  • Official undergraduate degree/diploma
  • Academic transcript of the accredited official training with the average grade at the university of origin. 
  • Curriculum Vitae in English
  • A photocopy of proof of English language (level B2) 
  • A letter of motivation in English stating the candidate's interest in following the master's programme (400 to 600 words)
  • Two academic or professional letters of reccommendation (free-form and with the letterhead of the issuing institution).
  • Identity Card or Passport.
  • Tuition Fee

    • International

      18500 EUR/year
      Tuition Fee
      Based on the original amount of 18500 EUR per year and a duration of 12 months.
    • EU/EEA

      18500 EUR/year
      Tuition Fee
      Based on the original amount of 18500 EUR per year and a duration of 12 months.

    Funding

    Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

    Due for update

    Updated over a year ago

    Check the official programme website for potential updates.

    Our partners

    Data Science
    -
    Pompeu Fabra University

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