Master's Degree in Data Science: Data Science for Decision Making Program Program By Barcelona School of Economics |Top Universities
Program Duration

9 monthsProgram duration

Tuitionfee

19,000 EURTuition Fee/year

Application Deadline

30 Jun, 2024Application Deadline

Scholarship

YesScholarships

Program 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.

Program 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

Undergraduate

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
30 Jun 2024
9 Months
Sep
  • Candidates are required to submit references or letter(s) of recommendation for acceptance

Tuition fee and scholarships

Domestic Students

19,000 EUR
-

International Students

19,000 EUR
-

One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.

In this guide you will find:
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Where to look for scholarship opportunities

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How to apply to scholarships relevant to you

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A list of available scholarships around the world

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