Master's Degree in Data Science: Data Science for Decision Making Program 9 months Postgraduate Programme By Barcelona School of Economics |TopUniversities
Programme Duration

9 monthsProgramme duration

Tuitionfee

19,500 EURTuition Fee/year

Application Deadline

02 Jul, 2025Application Deadline

Main Subject Area

Data Science and Artificial IntelligenceMain Subject Area

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

Other

Study Level

Masters

Study Mode

On Campus

The BSE Master's Program in Data Science for Decision Making integrates key elements from Data Science and Economics to give graduates the ability to deal with all types of data and make the correct inferences from it. Students will be trained in the use of cutting-edge machine learning methods and of statistical models that will help them to provide effective data support in the decision-making process of any organization. Students will, for example, be able to extract information from the structure of social networks, satellite images, large libraries of digitized text, read and visualize data in maps and make sense of geo-localized information and time series data. They will also be able to use this data for forecasting and evaluate different policy options or business strategies through models built on an understanding of causal relationships.

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

Other

Study Level

Masters

Study Mode

On Campus

The BSE Master's Program in Data Science for Decision Making integrates key elements from Data Science and Economics to give graduates the ability to deal with all types of data and make the correct inferences from it. Students will be trained in the use of cutting-edge machine learning methods and of statistical models that will help them to provide effective data support in the decision-making process of any organization. Students will, for example, be able to extract information from the structure of social networks, satellite images, large libraries of digitized text, read and visualize data in maps and make sense of geo-localized information and time series data. They will also be able to use this data for forecasting and evaluate different policy options or business strategies through models built on an understanding of causal relationships.

Admission Requirements

6.5+
90+
  • 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 holds a university diploma in Economics, Finance, Engineering, Mathematics, Statistics, or Business Administration, but students with academic backgrounds in other subjects have also been admitted.
  • An advanced level of English language skills: TOEFL score of 90 or better / IELTS Academic Test score of 6.5 or better.
  • PhD Track Program only: GRE General Test score (for all other programs, GRE is optional but highlight recommended).

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

02 Jul 2025
9 Months
Sep

  • Candidates are required to submit references or letter(s) of recommendation for acceptance

Tuition fees

Domestic
19,500 EUR
Domestic (Out of State)
19,500 EUR
International
19,500 EUR

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

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