Master of Science degree
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Computing for Data Science

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Academic year 2023/2024
Faculty of Engineering
Libera Università di Bolzano
EQF level: 7
Degree classification: LM 18 - computer science
Field of study: information and communication technologies (icts)
Place of teaching
bolzano (BZ), italy
Attendance methods
Full time
Teaching
Classroom-based
Languages in which the course is held
English
University formative credits
120
Cost
1350
Duration of the course
Oct 2023 - Jul 2025
Deadline (Expired)
06 July 2023
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Course contents

Our master programme will provide you with the key competencies that you will need to develop next-generation information systems used to describe and manage data, discover new facts and relations in the data, make predictions, and give advice to decision makers.
We live in a digital society. Human and automated activities continuously generate data, storing them in digital format. These data come from everywhere: enterprise information systems, social media, wearable equipment, and many more.

Data are like crude oil: unrefined, they are useless.

In our programme, we teach you how to become a computational data scientist, i.e. a computer scientist specialised in the development of next-generation information systems.

Data science sits at the interface between computer science, mathematics, and application domains. Our study programme covers all these areas: computer science and IT methods for managing and engineering big and complex data, mathematical tools for data interpretation and analysis, artificial intelligence techniques to extract insights from data and support decision makers, and aspects of human-computer interaction. You will participate in cutting-edge research, and apply your skills to real data from actual application domains, such as business information systems, travel and tourism, bioinformatics, healthcare, internet of things, industry 4.0, agriculture, and many more.

For your final thesis you will collaborate on research projects with major industries - such as IBM, Oracle, Siemens, and with leading research institutions, such as TU Wien, TU München and Politecnico di Milano.

Page of the course on the University's website

Teaching

Place of teaching
bolzano (BZ), italy
Duration of the course
Oct 2023 - Jul 2025
University formative credits
120
Attendance methods
Full time
Teaching
Classroom-based
Languages in which the course is held
English

Admission requirements

Type of degree required
1st Level Degree, 2nd Level Degree
Field of study
information and communication technologies (icts)
Foreign language skills
English
Entry level (to gain admission) English: B2
Degree programme classes
L-31, 26 - Computer Science
Other educational requirements
Three-year undergraduate degree (bachelor) or university diploma of the previous Italian higher education system or any equivalent foreign qualification

Admission

Deadline
06 July 2023
Available places
60
Cost
1350 €
Scholarships
Available
Excellent opportunities to obtain scholarships and student accommodations

Employment opportunities

Typical job profiles are:

Data Analysts that evaluate, interpret, and analyse large and complex data collections of an organisation, in order to gain new insight from data;
Data Engineers that design, implement, deploy, and maintain software solutions for data management and analysis;
Data Architects that design and manage complex IT infrastructures supporting the acquisition, maintenance, cleaning, sharing and integration of enterprise data.

AlmaLaurea surveys

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Potrai comunque consultare dati relativi a percorsi di studio affini o all'ambito disciplinare cui il corso afferisce.

*Dati sul corso di studi
*Dati sulla classe di laurea Computer Science
Other editions of the same course
Academic year edition 2026/2027Academic year edition 2025/2026Academic year edition 2024/2025

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