Data Analytics for Business 24 months Postgraduate Programme By Università Cattolica del Sacro Cuore |TopUniversities
Programme Duration

24 monthsProgramme duration

Tuitionfee

6,850 EURTuition Fee/year

Application Deadline

24 Jun, 2026Application Deadline

Main Subject Area

Computer Science and Information SystemsMain Subject Area

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The Master of Science in Data analytics for business is a two-year program designed for students who have a strong interest in data analysis.

The Master program provides students with a solid understanding of Statistics and Computer science, along with domain-specific knowledge in Business.

  • providing students with advanced knowledge on Statistics and Machine learning that enables building effective models for data analysis, inference and forecasting and to support the decision-making process;
  • providing advanced skills in data management and computer programming for building algorithms suited to implement and deploy statistical methods and data analysis tools in practice;
  • combining quantitative skills with business and corporate knowledge to address business challenges, identify new business opportunities and support the management with data-driven strategies;
  • empowering students with data visualization tools, teamwork abilities, communication skills for an effective presentation and discussion of project results;
  • completing the training with real case studies and elements of tech law related to digital technology.

Programme overview

Main Subject

Computer Science and Information Systems

Degree

MSc

Study Level

Masters

Study Mode

On Campus

The Master of Science in Data analytics for business is a two-year program designed for students who have a strong interest in data analysis.

The Master program provides students with a solid understanding of Statistics and Computer science, along with domain-specific knowledge in Business.

  • providing students with advanced knowledge on Statistics and Machine learning that enables building effective models for data analysis, inference and forecasting and to support the decision-making process;
  • providing advanced skills in data management and computer programming for building algorithms suited to implement and deploy statistical methods and data analysis tools in practice;
  • combining quantitative skills with business and corporate knowledge to address business challenges, identify new business opportunities and support the management with data-driven strategies;
  • empowering students with data visualization tools, teamwork abilities, communication skills for an effective presentation and discussion of project results;
  • completing the training with real case studies and elements of tech law related to digital technology.

Admission Requirements

84+
6+
  • Students should have acquired at least 12 ECTS in the area of Statistics and 14 ECTS in the area of Mathematics.
  • This will be verified through the transcript of records, hence it is required that students who have not yet graduated send a copy of the official transcripts comprehensive of the subjects they still have to take.

24 Jun 2026
2 Years
Sep-2026

International
6,850 EUR

Scholarships

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