Data analytics for business

• Lauree magistrali
• Data analytics for business

Faculty of: ECONOMIA; SCIENZE MATEMATICHE, FISICHE E NATURALI

Data analytics for business

Milano

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DOMESTIC APPLICANTS

INTERNATIONAL APPLICANTS

Course duration

2 Years

Language

English

Degree Classes

LM-82 R (Scienze statistiche)

Data analytics for business

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ORIENTATION: FOLLOW OUR EVENTS

The Faculty of Economics promotes an interfaculty Master of Science programme jointly with the Faculty of Mathematical, Physical and Natural Sciences.

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The Faculty of Economics promotes an interfaculty Master of Science programme jointly with the Faculty of Mathematical, Physical and Natural Sciences.

Programme aims

This programme is entirely taught in English and aims at:

• 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 visualisation 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.

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This programme is entirely taught in English and aims at:

• 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 visualisation 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.

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