Master's Degree in Data Science: Data Science Methodology Program 9 months Postgraduate Program By Barcelona School of Economics |Top Universities
Home Universities Barcelona School of Economics Master's Degree in Data Science: Data Science Methodology Program

Master's Degree in Data Science: Data Science Methodology Program

Location

UPF, Barcelona, Spain
Get more details Shortlist
Shortlist
Program Duration

9 monthsProgram duration

Tuitionfee

19,001 EURTuition Fee/year

Application Deadline

02 Jul, 2025Application 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 Methodology aims to train future leaders in the field with a deeper understanding of the underlying methods, along with the ability to develop techniques for new and/or non-standard problems. The Master's prepares graduates to design and build data-driven systems in the private, public and research sectors. The curriculum guides students from modeling and theory to computational practice and cutting edge tools, teaching skills that are in growing global demand. Data Science Methodology students will gain a solid knowledge of Statistics, Machine Learning theory and methods such as Reinforcement Learning and Deep Learning, Optimization and Computing. The program also prepares students to critically assess the validity and performance of existing methods, and to address potential limitations by developing new ones. Students will learn how to apply classroom examples using real data and answering concrete questions from the perspectives of different sectors. Through an independent master's project or an industrial practicum conducted with local businesses or research teams, students have the opportunity to solve actual analytics problems hands-on.

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 Methodology aims to train future leaders in the field with a deeper understanding of the underlying methods, along with the ability to develop techniques for new and/or non-standard problems. The Master's prepares graduates to design and build data-driven systems in the private, public and research sectors. The curriculum guides students from modeling and theory to computational practice and cutting edge tools, teaching skills that are in growing global demand. Data Science Methodology students will gain a solid knowledge of Statistics, Machine Learning theory and methods such as Reinforcement Learning and Deep Learning, Optimization and Computing. The program also prepares students to critically assess the validity and performance of existing methods, and to address potential limitations by developing new ones. Students will learn how to apply classroom examples using real data and answering concrete questions from the perspectives of different sectors. Through an independent master's project or an industrial practicum conducted with local businesses or research teams, students have the opportunity to solve actual analytics problems hands-on.

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-2023
  • Candidates are required to submit references or letter(s) of recommendation for acceptance

Tuition fee and scholarships

Domestic Students

19,000 EUR
-

International Students

19,001 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:
opportunities

Where to look for scholarship opportunities

how_to

How to apply to scholarships relevant to you

list

A list of available scholarships around the world

checklist

A scholarship application checklist

banner
download_icon Download Scholarship Guide

More programs from the university

View All Programs

Master’s Degree in Economics and Finance

  • Economics Program. The Economics Program provides students with rigorous training for admission to top doctoral programs and for technically demanding careers. Students who complete this program will acquire an excellent grounding and deep understanding of the field's foundations, applications, and policies covering theoretical and empirical approaches.
  • Financial Economics Program. The Financial Economics Program is a comprehensive course that prepares you for the most technically demanding jobs in banking, consulting and asset management.

Master’s Degree in Specialized Economic Analysis

  • Competition, Regulation, and Markets Program. In the Competition, Regulation, and Markets Program you will acquire an advanced understanding of the interaction between theory and practice as well as the qualifications necessary for solid placement in the field.
  • Economics of Energy, Climate Change, and Sustainability Program. In the Economics of Energy, Climate Change, and Sustainability Program you will acquire an advanced understanding of the rapidly changing energy sector, learn how economic theory and data tools can be used to understand their functioning and trends, and develop the qualifications needed for solid placement in the field.
  • Economics of Public Policy Program. The Economics of Public Policy Program will prepare you for analytical positions at public institutions, international organizations, consulting firms, research institutions and think tanks.
  • International Trade, Finance, and Development Program. The ITFD Program provides rigorous training in the economics of international finance, trade, and development for students interested in demanding professional careers and doctoral programs.
  • Macroeconomic Policy and Financial Markets Program. Macro Program graduates acquire the skills demanded by consulting firms, investment banks and government agencies.

Master’s Degree in Data Science

  • Data Science Program. The Data Science for Decision Making Program prepares its graduates to design and build data-driven systems for decision-making in the private or public sector.
  • Data Science Program. The Data Science Methodology Program aims to train future leaders in the field with a deeper understanding of the underlying methods, along with the ability to develop techniques for new and/or non-standard problems.

Postgrad programs 744