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Masters
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Computer Science & IT
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Data Science for Decision Making
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MASTERS

Data Science for Decision Making

Barcelona Graduate School of Economics
BarcelonaSpain
On campus
Full-time
€18,500.00/year
 1000 Points
Duration
1 Year
Language
English
Apply date
Sep 2024

Program Description

The demand for Data Scientists is exploding, driven by the increasing availability of data and the advance of machine learning. Data collection and analysis have become crucial components of decision making in today’s private and public organizations and many have started to develop specialized departments for this purpose.

The ability to extract, handle, and analyze large amounts of data is therefore a key skill on today’s job market.

However, gathering and summarizing data is not enough. Data science can only improve decision making with an understanding of how choices affect outcomes. Data Scientists must therefore increasingly combine standard tools in machine learning with an understanding of the causal relationships behind the data.

The Barcelona GSE 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.

Entry Requirements

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Curriculum

Term 1

Economics for Data-driven Decision Making

Foundations of Econometrics

Computational Machine Learning I

Computing for Data Science

Term 2

Computational Machine Learning II

Machine Learning and Causal Inference

Text Mining: Models and Algorithms

Term 3

Master Project

Careers

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