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Masters
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Computer Science & IT
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Master in Data Science and Management - Luiss Guido
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MASTERS

Master in Data Science and Management - Luiss Guido

Luiss Guido Carli University
RomeItaly
On campus
Full-time
€13,300.00/year
 1330 Points
Duration
2 Years
Language
English
Start date
Sep 2024

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Program Description

The Master in Data Science and Management at Luiss Guido Carli University is at the forefront of the digital revolution, nurturing data scientists who excel in both technical-scientific (STEM) and business domains.

With the enquiry-based educational model, students will take an active role in all the different pillars of their learning experience: project works with companies, hackathons, competitions, as well as interactions with top academics and industry leaders on hot topics such as artificial intelligence, machine learning and big data analytics, including their implications for businesses at both the national and international level.

Entry Requirements

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Curriculum

Year 1

Data Science In Action

Advanced Statistics

Python and R for Data Science (lab)

Data-driven Innovation

Digital Ecosystems

Data Visualization

Internet and Network Economics

Data Privacy and Security

Machine Learning

Year 2

Big Data and Smart Data Analytics

Privacy in the Digital World

International Operations and Global Supply Chain

Ethics for Artificial Intelligence

2 Elective courses

Jobs - Careers

Data Science and Management will train the new business leaders who are able to effectively deploy data-driven methodologies for several business applications. To give an idea, the following three are possible job opportunities for this Master:

  • Data Scientists, capable of tackling today’s complex problems through the deployment of suitable quantitative methodologies and computer science techniques, so to extract knowledge and business value from data.
  • Data Intelligence Analysts, capable of integrating data science methodologies inside strategic and business processes.
  • Data Managers, capable of coordinating the collection and processing of huge data flows, and to best practice for evaluating their reliability, privacy, and security.
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