MASTER'S DEGREE

Applied Computer Science
(Machine Learning and Big Data)

Introduction

Machine Learning is one of most promising domains in High Technology, with an annual growth of its worldwide market of more than 40%. The Master’s Degree, thanks to an highly specialized program, aims at training professionals who can design and develop software based on Machine Learning algorithms for Big Data analysis and management.

Carreer opportunities

Graduates in Applied Computer Science are highly specialized professionals that can be recruited  by government research institutions, R&D Departments of ICT industries and utility companies requiring experts in Big Data Management.

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Headquarter

Centro Direzionale - Isola C4

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Department

Science and Technology Stiudies

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Course Language

English

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Access

Free

Course Opportunities

The Master’s Degree is focused on Machine Learning. Machine Learning Specialists are required in R&D Departments of ICT industries, in utility companies and in government research institutions. The worldwide Machine Learning market has an annual growth rate of over 40%. In Italy, the Artificial Intelligence market, in which Machine Learning is included, doubles every year. The demand for Machine Learning experts in the world and also in Italy, greatly exceeds the supply.

Professional Profiles

Course Duration: 2 years
Number of Exams: 12
Credits: 120
Access: Free
Double Degree: No
Class Membership: LM-18
Department: Science and Technology (DiST)

Dates to remember

2nd Semester 2023-2024 Lessons start: 4th March 2024

Application timings for international students 23/24

Registration

For Non-EU students residing abroad, click here.

Expected Skills

Graduates can manage all the scientific, technological, and managerial aspects of Machine Learning and Big Data and their various applications. They are also able to operate in the field of applied and industrial research and achieve an awareness of most advanced international research in computer science.

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Course's Key Persons

MASTER’S DEGREE COURSE DIRECTOR:
Prof. CAMASTRA Francesco
francesco.camastra@uniparthenope.it

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Contacts

Guidance and Tutoring Services

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Address

Via Acton, 38 - 80133 Napoli

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Telephone

+39 081.5475151 - 136 - 248 - 617

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Email

international.students@uniparthenope.it

School of Sciences, Engineering and Health

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Address

Centro Direzionale di Napoli, Isola C4 - 80143 Napoli

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Telephone

+39 081 547 6652 / 6655

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Website

www.sisis.uniparthenope.it

Department Secretary

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Address

Centro Direzionale di Napoli, Isola C4 - 80143 Napoli

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Telephone

+39 081 547 6605

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Website

www.scienzeetecnologie.uniparthenope.it

Course Location

Centro Direzionale di Napoli, Isola C4 – 80143 Napoli