News and events
Our Master of Science is organized in two tracks:
- Data Science & Engineering, centered on the management, analysis, and visualization of massive amounts of digital data for artificial intelligence, visual computing, data intensive computing, or business analytics
- Software Security & Engineering, devoted to the development of high-quality, innovative software systems through state of the art technologies, security assessment, hardening techniques, and standardized processes
Learning by doing
The program blends traditional classes with:
- labs activities and projects development, possibly in collaboration with the industry
- internship in the industry or in a research lab
- seminars and short courses on selected topics
Depending on the plan of study, graduates qualify as senior data scientist, business intelligence analyst, AI engineer, information security officer, technical leader, project manager in the industry or in research centers, or pursue their studies toward a PhD.
What you will learn
vision, speech, and nlp
digital signal & image processing
computer graphics & augmented reality
geometric modeling, computer games, and data visualization
statistical foundation, efficient algorithms, deep learning
large scale computing
cluster and high performance computing
Data Intensive Computing
built around Internet of Things, advanced data management, and multi-agent systems
based on data warehousing, advanced data management, and business management
storage and programming techniques for large-scale applications
technologies and programming for mobile devices
concepts, methods, and technologies for developing high-quality software
from distributed computing to blockchain
checking functional and security quality
analyze, fix and prevent security problems in software system
Did you know that...
several lecturers are leading scientists in their field
multi-disciplinary and team work is encouraged
seminars and short-courses on hot topics are organized year-round
work side-by-side with faculty and staff is common practice
students come from all over the world
a vast job market will be easily accessible
Data science and engineering
The know-how and competence required to effectively manage and analyse data are pivotal in the development of technologies able to support the decision making process, and to improve quality of life by producing smarter systems or delivering better services.
You will learn to
- model, process, and extract knowledge from data,
- deal with heterogeneous, complex, and noisy data, and
- interact with domain experts and understand their problems and demands
by focusing on artificial intelligence, visual computing, data intensive computing, or business analytics technologies.
Software security and engineering
Digital technologies underlie all aspects of our life: from the ubiquitous apps everybody uses many times a day, to the less obvious software embedded into appliances, vehicles, and critical systems. Unsecure, poorly performing, badly designed software has become a threat to smooth management, safety, and security of our society. High-quality software needs to be carefully produced and maintained, through professional processes and cutting edge technologies.
You will learn
- security assessment of software systems and hardening techniques,
- development of secure-by-design software,
- high-quality methodologies for software development,
- cutting-edge technologies, and
- software project management.
Head of programme
Welcome to the Master of Science Program in Computer Science @UniGe. Whether your ambition is to become an expert in Data Science and Engineering, or in Software Security and Engineering, you are going experience our friendly and inclusive atmosphere and share our enthusiasm for learning. Our community - students, faculty, teaching assistants, and staff - strives for blending educational and research programs.
Where to find us
Via Dodecaneso, 35
16146 Genova GE
I studied Computer Science at the University of Genova and now I work in London as a Data Scientist.
As a Data Science consultant, my day to day job consists in manipulating and analysing large datasets in order to help my clients improving their decision making.For instance, I build Machine Learning models to predict whether a person is going to be a high value customer for a business, or to analyse tweets to understand the hot topics influencers in some areas are talking about. During my time at UniGe, I have been studying Computer Vision and Machine Learning, and that is the reason why today I am doing this job. All the various courses I have been studying during my undergrad were useful to build solid foundations: I am thinking to Maths and Programming in particular, but in general everything was useful. Even if I am not a DB admin, I find very useful to know SQL, for example. I have nothing but good memories about those years. Not only the subjects and the courses were very interesting, the environment was extremely friendly.
I graduated from the University Of Genoa with a degree in Computer Science. My passion for software engineering brought me working for the prestigious Ferrari F1 Racing Team. After a few years I then moved to London and enjoyed the agile swing of ThoughtWorks. Recently, I have landed in Google UK where I have the privilege of working with some of the brightest minds in a dynamic and exciting environment.
If you want to know more about our program, please get in touch with our student orientation committee by sending an email to firstname.lastname@example.org