Master of Science degree
condividi tramite

Computing for Data Science

logo ateneo
Academic year 2026/2027
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
*Modalità di accesso
*Accesso programmato locale
Attendance methods
Full time
Teaching
Classroom-based
Languages in which the course is held
English
University formative credits
120
Cost
1200
Deadline (Expired)
08 July 2026
Brochure
Ask for information

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.
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.

Students can choose between two curricula:

Machine Learning is oriented toward data-driven Artificial Intelligence methods and, in particular, Machine Learning methods for data analysis, including the principles and methods for data exploration, for interpretation and visualization of the results of such analysis, and more generally, for the extraction of knowledge from data to inform and guide decision-making processes. Students can customise their study plan by choosing five optional courses in addition to the compulsory ones.
Artificial Intelligence for Data Management is focused primarily on data management and on the techniques and methodologies specific to computer science and artificial intelligence for building IT architectures, infrastructures, on systems for maintaining, integrating, and curating complex and heterogeneous data, as well as for supporting the subsequent analysis for decision-making processes. Students can customise their study plan by choosing five optional courses in addition to the compulsory ones.

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
University formative credits
120
Attendance methods
Full time
Part-time enrolment available:

Part-time enrolment allows you to reduce your study load, giving you more time for other activities such as work, sports, or personal or familiar commitments. You will take a reduced number of courses per year while still having access to all the services provided by the university. Students choose this option after enrolment (in October) and not during the application.
Teaching
Classroom-based
Languages in which the course is held
English

Admission requirements

Type of degree required
1st Level Degree
Field of study
information and communication technologies (icts), engineering and engineering trades
Foreign language skills
English
The official teaching language is English. Therefore, the following language requirements apply, otherwise you will be excluded from the admission procedure: Entry level (to gain admission): English B2 (The levels of the Common European Framework of Reference apply). You can demonstrate language proficiency through: -the main teaching language in your final high school year, if English (recognised as C1). -a bachelor or master degree in English (recognised as C1). -a recognised language certificate -language exams organised by the unibz Language Centre
Degree programme classes
L-8, 9 - Information Technology, L-31, 26 - Computer Science
Other educational requirements
In order to gain admission, you need one of the following admission titles:

a bachelor’s degree in Computer Science (class L-31) or Information Engineering (class L-08) or an equivalent qualification according to the previous regulations obtained in Italy, or an equivalent qualification obtained abroad (for example: Computer Science, Software Engineering, Business Informatics, Information Engineering);
Or, alternatively,

a bachelor’s degree in any discipline, together with following curricular requirements obtained through bachelor’s degrees, master’s degrees, or single subject courses:
at least 12 ECTS in
INFO-01/A (ex INF/01) - Computer Science
IINF-05/A (ex ING-INF/05) - Information Processing Systems
at least 12 ECTS in
MATH-01/A (ex MAT/01) - Mathematical logic
MATH-02/A (ex MAT/02) - Algebra
MATH-02/B (ex MAT/03) - Geometry
MATH-03/A (ex MAT/05) - Mathematical Analysis
MATH-03/B (ex MAT/06) - Mathematical Probability and Statistics
MATH-04/A (ex MAT/07) - Mathematical Physics
MATH-05/A (ex MAT/08) - Numerical Analysis
MATH-06/A (ex MAT/09) - Operational Research
STAT-01/A (ex SECS-S/01) - Statistics
STAT-01/B (ex SECS-S/02) - Statistics for Experimental and Technological Research
STAT-02/A (ex SECS-S/03) - Economic Statistics
PHYS-01/A (ex FIS/01 and FIS/04) - Experimental Physics of Fundamental Interactions and Applications
PHYS-02/A (ex FIS/02 and FIS/04) - Theoretical Physics of Fundamental Interactions, Models, Mathematical Methods and Applications
PHYS-03/A (ex FIS/01 and FIS/03) - Experimental Physics of Matter and Applications
PHYS-04/A (ex FIS/02 and FIS/03) - Theoretical Physics of Matter, Models, Mathematical Methods and Applications
For candidates with a qualification obtained abroad the verification of the curricular requirements is based on the specific contents of the educational activities.

Candidates must have an average mark of at least 24/30.

Candidates below this average mark must pass an online interview in English in which they demonstrate their knowledge in topics such as Programming Languages and Paradigms, Data Structures and Algorithms, Database Management Systems, Linear Algebra, Probability Theory.

Admission

Deadline
08 July 2026
*Modalità di accesso
*Accesso programmato locale
Available places
60
Admission
The admission procedure is based on the evaluation of your study career. Information on your study career: Please download the excel file and the PDF with the example of a filled in file from the application portal. Fill in both worksheets (tab “Admission title” and tab “Other university courses”) and upload it in the portal as an excel file. If you graduated in Italy, you must self-declare the exams passed, otherwise you will be excluded. If you graduated abroad, you must upload your academic transcript, otherwise you will be excluded. To be admitted you must also certify adequate language skills in English (see section “Language requirements). Please note: mendacious declarations will be sanctioned by criminal law and will result in your automatic exclusion. The evaluation criteria are: the admission title is scored up to 10 points based on the grade average obtained at the time of application; the score awarded for the study curriculum is weighed on the basis of the "Webometrics Ranking of World Universities", proceeding as follows: 3 points for universities in position from 1 to 1000 in the ranking; 2 points for universities in position from 1001 to 2000; 1 point for universities in position from 2001 to 3000 in the ranking; 0 points for universities in position from 3001 onwards; the possession of the curricular requirements does not give a score but is an admission prerequisite; the certificate of English language proficiency does not give a score but is an admission prerequisite.
Cost
1200 €
Scholarships
Not available

Employment opportunities

Graduates enter the labour market as Machine Learning Engineers and Data Architects, key roles in the development of IT solutions for data science.

Machine Learning Engineers are sought after in all those business and organisational contexts, by no means limited to IT, where it is crucial to analyse, interpret and extract knowledge from big data and complex, heterogeneous datasets.

Data Architects hold technical and coordinating roles for data management within companies and organisations operating in the IT sector, or with a complex network of IT systems dependent on heterogeneous data sources.

Possible fields of employment include the sectors of finance, retail, e-commerce, marketing, Industry 4.0, public administration, but also applied sciences such as physics, biology, medicine, life sciences and environmental sciences. This also extends to scientific institutes, laboratories and universities.

AlmaLaurea surveys

*Verifica se sono disponibili dati puntuali su questo percorso di studio.
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
Notes
Additional Application Session (only for EU citizens)

The Faculty can open additional application sessions for single study programmes in August and in September if there are available places. More information on additional sessions will be published in due course.
Other editions of the same course
Academic year edition 2025/2026Academic year edition 2024/2025Academic year edition 2023/2024

Ask for information

remaining characters
INFORMATIVE REPORT ON THE PROCESSING OF PERSONAL DATA

The AlmaLaurea Interuniversity Consortium guarantees that the processing of personal data is done in compliance with current legislation and, pursuant to art. 13 of Regulation (EU) 2016/679, informs you that:

Parties involved in processing:

  • The data controller is the AlmaLaurea Interuniversity Consortium, Viale Masini 36, 40126 Bologna, Italy, Tel. +39 051 6088919, Fax +39 051 6088988;
  • The Data Protection Officer (RPD) of the Consortium, identified at www.almalaurea.it/info/condizioni/privacy, can be contacted at rpd@almalaurea.it.

Purposes, legal bases and storage of data provided:

  • The data provided are processed exclusively to supply the user with the assistance service requested;
  • The provision of data marked with * is required for the assistance service requested by the user, which is why the failure to provide such data prevents the provision of the above service offered by the AlmaLaurea Interuniversity Consortium;
  • The data provided, pursuant to art. 6, 1st paragraph, lett. b) of Regulation (EU) 2016/679, are processed only as strictly necessary for the fulfilment of this service and are stored for the time strictly necessary for the provision of the assistance, in any case for a period not exceeding 12 months after the fulfilment of the request.

Recipients or categories of recipients of personal data:

  • For the provision of the service specified above, the data you provided may be transmitted to other parties (e.g. CINECA) appointed to provide technological support, as data processors. The list of data processors of the data for which the AlmaLaurea Interuniversity Consortium is data controller is published at www.almalaurea.it/info/condizioni/privacy.

Rights of data subjects:

  • You can exercise the rights granted to you by current legislation on the protection of personal data, including the right to ask the data controller to access your personal data and to correct or erase them, restrict or object to processing of your data, in addition to the right of data portability within the limits of the provisions of art. 15-21 of Regulation the 2016/679;
  • Pursuant to art. 77 of the Regulation, if you believe that the processing of your data violates the legislation on the protection of personal data, you have the right to lodge a complaint with the Italian Data Protection Authority or the control authority of the EU Member State in which you usually reside, work or the place where the alleged violation occurred;
  • To exercise your rights you can contact the data controller by sending a communication to the email address: supporto.laureati@almalaurea.it
Cancel
Chiudi