Free University of Bozen-Bolzano
Master in Computing for Data ScienceBolzano, Italy
DURATION
2 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
Request application deadline *
EARLIEST START DATE
Sep 2025
TUITION FEES
EUR 1,200 / per year
STUDY FORMAT
On-Campus
* early bird application | late application (only for EU citizens): 09 July 2025
Key Summary
Introduction
Our master's program 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 program, we teach you how to become a computational data scientist, i.e. a computer scientist specialized in the development of next-generation information systems.
Data science sits at the interface between computer science, mathematics, and application domains. Our study program 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, the 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, and Siemens, and with leading research institutions, such as TU Wien, TU München, and Politecnico di Milano.
Gallery
Admissions
Scholarships and Funding
Curriculum
Students can choose between two curricula:
- Data Analytics focuses on data interpretation and analysis using techniques from mathematics, statistics, and machine learning, and on the development of IT applications to retrieve and explore data, extract insights from data, and visualize the obtained results.
- Data Management deals with computer science and artificial intelligence methods for the development of IT architectures and information systems supporting data modeling, access, integration, and processing, as well as the corresponding decision-making and business processes.
Students who prefer not to follow one of the proposed curricula can customize their studies by selecting from the curriculum-specific courses of the two curricula.
1st Year
- Data Management Technologies
- Mathematics and Statistics for Data Science
- Programming and Visualisation for Data Science
- Data Visualisation and ExplorationProgramming for Data Science
- Information Systems Design
- Artificial Intelligence
- Machine Learning
- Semantic Technologies
- Curriculum-specific course*
2nd Year
- Data CurationData Preparation and IntegrationData Profiling
- Capstone Project
- Curriculum-specific course*
- Free Choice**
- Advanced English for Scientific Communication
- Thesis
- *Curriculum-specific lectures
- Advanced Statistics
- Recommender Systems
- Deep Learning
** Students can advance or postpone Free Choice exams freely. Free Choice suggestion: Information Retrieval
Study Plan - Curriculum Data Management
1st Year
- Data Management Technologies
- Mathematics and Statistics for Data Science
- Programming and Visualisation for Data Science
- Data Visualisation and ExplorationProgramming for Data Science
- Information Systems Design
- Artificial Intelligence
- Machine Learning
- Semantic Technologies
- Curriculum-specific course
- Curriculum-specific course
2nd Year
- Data Curation
- Data Preparation and IntegrationData Profiling
- Capstone Project
- Curriculum-specific course*
- Free Choice**
- Advanced English for Scientific Communication
- Thesis
- *Curriculum-specific lectures
- Data and Process ModellingHuman-Computer InteractionAlgorithms for Data Science
** Students can advance or postpone Free Choice exams freely.
Free Choice suggestion: Enterprise Digital Transformation
Exchange Programs and Internships
Currently, we offer exchange programs with partner universities all over the world and we are part of a large network of collaboration with employers in Italy and abroad where you can undertake an optional internship with a maximum of 300 hours.
Program Tuition Fee
Career Opportunities
Graduates enter the labor market as Machine Learning Engineers and Data Architects, with key roles in the development of IT solutions for data science.
Machine Learning Engineers are sought after in all those business and organizational contexts, by no means limited to IT, where it is crucial to analyze, interpret, and extract knowledge from big data and complex, heterogeneous datasets.
Data Architects hold technical and coordinating roles for data management within companies and organizations 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, and 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.
On the website of AlmaLaurea, you can check our outstanding statistical data about the satisfaction of our graduates, and their employability.
Faculty
Student Testimonials
English Language Requirements
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