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COMPUTER SCIENCE
Master degree course

Info 2023/2024

Degree type
Master degree course
Duration and credits
2
Years
120
CFU
LM-18
COMPUTER SCIENCE
Admission
 
Free access
Location
GENOVA
English
Teaching mode
Frontale
Taxes and fees
From 0 to 3000 euros per year. Find out if you are entitled to scholarships and exemptions
International partnerships
Student exchange
Head of programme
BARBARA CATANIA
Contacts
To learn more about the Course visit the dedicated section

Video presentation

Programme overview

Summary

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, data analytics, or visual computing 
  • 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

Career perspectives

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

  • cloud & high performance computing

    programming techniques for large-scale applications 

  • distributed systems

    from distributed algorithms and protocols to multi-agent systems, networks, and blockchain 

  • machine learning

    statistical foundation, efficient algorithms, deep learning

  • data pipelines and data governance

    data lifecycle from acquisition through Internet of Things to data management and data protection 

  • data analysis (DSE)

    from data warehousing to data visualization 

  • mobile development (SSE)

    technologies and programming for mobile devices 

  • images and natural language processing (DSE)

    text analytics and computer vision 

  • software engineering (SSE)

    concepts, methods, and technologies for developing high-quality software 

  • computer graphics and augmented reality (DSE)

    from geometric modelling to human-computer interaction 

  • software security (SSE)

    analyze, fix, and prevent security problems in software system 

Legend: DSE refers to the Data Science and Engineering curriculum, SSE refers to the Software Security and Engineering curriculum 

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

Contents

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, data analytics, or visual computing.

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

prof.ssa Catania

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.


Head of Programme

Where to find us

DIBRIS
Valletta Puggia
Via Dodecaneso, 35
16146 Genova GE

Success stories

■ ■
Alessandra Staglianò|render|striptags|trim }} }}

I studied Computer Science at the University of Genova and now I work in London as a Data Scientist.

Alessandra Staglianò
data scientist @ASI Data Science, London UK

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.

Learn more

If you want to know more about our program, please get in touch with our Didactic support units by sending an email to didattica.scienze@dibris.unige.it