The Master of Science in Computer Science is centered on Data Science & Engineering.
The backbone of the program is constituted 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 organized 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 a large amount of heterogeneous data
Machine learning: Extract information and new knowledge from data
High-performance computing: Develop algorithms for parallel and distributed computing
Data visualization: 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
Business analytics: boost performances and enterprise planning with data
Visual computing: 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 endeavors. 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 analyze data are 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
Degree type: Master of Science
Duration and credits: 2 Years / 120 CFU
Class: LM-18 Informatica
Admission: Free access
Teaching language: English
Teaching mode: Lectures
International partnerships: Student exchange
Head of the program: Alessandro Verri
Learn more here
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Last updated August 31, 2018