At a glance
The Master of Science in Computer Science is centered on Data Science & Engineering.
The backbone of the program is constitued by three core units on advanced data management, machine learning, and high performance computing. Leveraging on the expertise of our faculty, the rest of the program is organised in four tracks: Business Intelligence, Health & Life Sciences, Pervasive Computing, and Visual Computing.
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
Graduates qualify as senior data scientist, senior computer scientist, or pursue studies toward a PhD in Computer Science.
What you will learn
advanced data management
manage and organize large amount of heterogenous data
extract information and new knowledge from data
high performance computing
develop algorithms for parallel and distributed computing
visualize and make use of the information extracted from data
security and privacy
data protection and privacy
internet of things
data governance in the interconnected world
boost performances and enterprise planning with data
process signals and infer knowledge from images and 3D data
biomedical data science
process signals and infer knowledge from biomedical data
Data as an opportunity
We are witnessing the acquisition of an unprecedented amount of digital data available to virtually all human endeavours. Technologies based on the intelligent use of these data will be increasingly pervasive and likely to lead to great changes in our everyday life.
The know-how and competence required to effectively manage and analyse data is pivotal in the development of technologies able to support experts in the process of decision making, or to improve the quality of life by producing smarter and smarter systems or by delivering better services.
Data science and engineering
You will learn:
- data modeling and knowledge extraction
- heterogeneous, complex and noisy data analytics
- how to interact with domain experts and understand their problems and demands
Head of programme
Become an expert in Data Science and Engineering, while experiencing our friendly and inclusive atmosphere and sharing our enthusiasm for learning. Welcome to the Master of Science in Computer Science @UniGe. Our community - students, faculty, teaching assistants, and staff - strives for blending educational and research programs. Become an expert in the emerging field of Data Science and Engineering, while experiencing our friendly and inclusive atmosphere and sharing our enthusiasm for learning.
Where to find us
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.
If you want to know more about our program, please get in touch with our student orientation committee by sending an email to email@example.com