Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

Other

Study Level

Masters

Study Mode

On Campus

The remarkable increase in the volume and complexity of available data and new technologies that have been developed to process them requires a combined multi-disciplinary approach to design an overall strategy aimed at transforming data into useful information. Key ingredients to develop a successful strategy are data manipulation and visualization, large scale computing, statistical modelling, learning techniques, algorithmic thinking. Laurea Magistrale in Data Science is a joint i3S Faculty initiative combining the expertise of four Departments: - Department of Computer Science (DI) - Department of Computer, Control and Management Engineering (DIAG) - Information Engineering, Electronics and Telecommunications (DIET) - Statistics (DSS). This Master's program provides a solid and modern preparation to understand and manage the multi-facet aspects of carrying out a complete data analysis, including acquisition, management, and statistical analysis.

Programme overview

Main Subject

Data Science and Artificial Intelligence

Degree

Other

Study Level

Masters

Study Mode

On Campus

The remarkable increase in the volume and complexity of available data and new technologies that have been developed to process them requires a combined multi-disciplinary approach to design an overall strategy aimed at transforming data into useful information. Key ingredients to develop a successful strategy are data manipulation and visualization, large scale computing, statistical modelling, learning techniques, algorithmic thinking. Laurea Magistrale in Data Science is a joint i3S Faculty initiative combining the expertise of four Departments: - Department of Computer Science (DI) - Department of Computer, Control and Management Engineering (DIAG) - Information Engineering, Electronics and Telecommunications (DIET) - Statistics (DSS). This Master's program provides a solid and modern preparation to understand and manage the multi-facet aspects of carrying out a complete data analysis, including acquisition, management, and statistical analysis.

Admission Requirements

Program Duration

2 Years

Starting Month(s)

Sep

Domestic

Starts from

2,924 EUR

International

Starts from

2,924 EUR

Scholarships

Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.

To help students navigate this challenging process, we recommend the following articles:

Main Campus, Rome, Italy

# 51-100QS Subject Rankings

24 monthsProgramme duration

2,924 EURTuition Fee/year

Data Science and Artificial IntelligenceMain Subject Area

Programme overview

Main Subject

Degree

Study Level

Study Mode

Programme overview

Main Subject

Degree

Study Level

Study Mode

Admission Requirements

Important Dates

Tuition Fee

Domestic

International

Scholarships

Scholarships

QS WUR Ranking By Subject

More programmes from the university

Bachelor (10) UG(10)

Archaeological Sciences

Classics

Classics

Classics (English)

Global Humanities

Applied Computer Science and Artificial Intelligence

Sustainable Building Engineering

Bioinformatics

Molecular Biology, Medicinal Chemistry and Computer Science for Pharmaceutical Applications

Nursing

Master (50) PG(50)

Archaeological Materials Science

Architecture (Conservation)

Architecture - Urban Regeneration

Classical Archaeology (English)

Cultural Heritage in the Near and Middle East, and in Africa

Cultural Heritage in the Near and Middle East, and in Africa (English)

Design, Multimedia and Visual Communication

English and Anglo-American Studies

Fashion Studies

Landscape Architecture

Mediterranean Archaeology

Mediterranean Archaeology (English)

Philology, Literatures and History of the Ancient World

Product and Service Design

Science and Technology for the Conservation of Cultural Heritage

Business Management

Economics

Economics and Communication for Management and Innovation

Finance and Insurance

Health Economics

Artificial Intelligence and Robotics

Chemical Engineering

Computer Science

Control Engineering

Cybersecurity

Data Science

Electrical Engineering

Electronics Engineering

Energy Engineering

Engineering in Computer Science

Environmental Engineering

Environmental and Sustainable Building Engineering

Management Engineering

Mechanical Engineering

Nanotechnology Engineering

Safety and Civil Protection Engineering

Space and Astronautical Engineering

Sustainable Transportation and Electrical Power Systems

Transport Systems Engineering

Biochemistry

Clinical Psychosexology

Cognitive Forensic Sciences

Cognitive Neuroscience

Dentistry and Dental Prosthodontics