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Vai a HR Excellence in Research
Vai a Uniwell
Vai a HR Excellence in Research
Vai a Uniwell
University
Expand University
Who we are
History and profile
Governing Bodies
Facilities
Statute and regulations
Organisation and Administration
Security at Unifi
Work with us
Recruitment - Call for Applications
International Academics
Research Grants
Planning & Budgets
University's Strategic Plan
Gender Equality Plan
Quality and transparency
Quality Assurance
Data protection
Official Register
Around the world
Welcome to Unifi
Erasmus+ and International Mobility
International cooperation Agreements
Visiting Professors
Promotion of International Activities
Cooperation for Development
Study with us
Expand Study with us
Degree Programmes
First cycle and Single Cycle Degrees
Second Cycle Degrees
International Courses
Single subjects
Previous Years Programmes
Orientation
Materials and guides
Access and enrolment
Tests and how to access courses
Registration and enrolment
Other procedures
International Students
Incoming Erasmus Students
Fees and Charges
Scholarships and Grants
Calendar of key deadlines
Study Regulations
Services | Info desks
University life
Internships
Campuses and transportation
Canteens and Accommodation
Services for inclusion
Italian Language Courses
Health and Medical Care
Representation and protection
After graduation
Job Placement and Careers
PhD Programmes
Specialisation Schools
Advanced training, vocational training and continuing education courses
Master courses
State qualifying examinations
Research and innovation
Expand Research and innovation
Research
Financed Projects
Funding opportunities
Research for innovation and development
Research infrastructures
National Recovery and Resilience Plan (PNRR)
Open Science
Quality and Evaluation
HR Excellence in Research
Innovation
Patents and Copyrights
Spaces and Facilities
Measures and Announcements for Companies
Events and matchmaking
University and society
Cultural and educational initiatives
University's Art and Performing Arts Activities
Actions for sustainability
Unifi official store
Info for
Future students
Students
Graduates
Alumnae and Alumni
Companies and organizations
Citizens
Families and school world
DATA SCIENCE, SCIENTIFIC COMPUTING & ARTIFICIAL INTELLIGENCE
Course Website
Home
Study with us
[B257] DATA SCIENCE, SCIENTIFIC COMPUTING & ARTIFICIAL INTELLIGENCE
Access mode
Free
Duration
2 years
Credits
120
Location
FIRENZE
Structure
Statistica, Informatica, Applicazioni 'G. Parenti' (DiSIA)
Degree class
LM Data - Data science
Language
Italian
The degree programme in a nutshell
Educational goals
Admission requirements
Study plans - A.A 2024/2025
GENERICO
Year of study: 1
Year of study: 2
Required
FUNDAMENTALS OF STATISTICS FOR DATA SCIENCE
6 CFU - 48 hours - Primo Semestre
STATISTICAL LEARNING FOR DATA SCIENCE
6 CFU - 48 hours - Secondo Semestre
DATA ORGANIZATION AND DATA MINING
12 CFU - 96 hours
Optional, according to the rules of choice of your study plan
PROBABILITY FOR DATA SCIENCE
9 CFU - 72 hours - Primo Semestre
NUMERICAL APPROXIMATION FOR DATA MODELING
9 CFU - 72 hours - Primo Semestre
NUMERICAL METHODS FOR DATA SCIENCE
6 CFU - 48 hours - Secondo Semestre
NUMERICAL OPTIMIZATION FOR MACHINE LEARNING
6 CFU - 48 hours - Secondo Semestre
FUNDAMENTALS OF COMPUTER SCIENCE FOR DATA SCIENCE
9 CFU - 72 hours - Primo Semestre
DATA SECURITY AND PRIVACY
9 CFU - 72 hours - Primo Semestre
THE LANGUAGE OF THE LIVING
6 CFU - 48 hours - Secondo Semestre
HIGH PERFORMANCE COMPUTING APPLIED TO CHEMISTRY
6 CFU - 48 hours
DATA SCIENCE FOR BIOCHEMICAL SCIENCES
6 CFU - 48 hours - Secondo Semestre
FUNDAMENTALS OF CHEMISTRY FOR THE DATA/COMPUTATIONAL SCIENTIST
6 CFU - 48 hours - Primo Semestre
DATA SCIENCE FOR NEUROSCIENCE
6 CFU - 48 hours - Secondo Semestre
COMPUTATIONAL GEOCHEMISTRY AND GEOSTATISTICS
6 CFU - 48 hours - Secondo Semestre
LOGIC FOR ARTIFICIAL INTELLIGENCE
6 CFU - 48 hours - Secondo Semestre
STATISTICAL PHYSICS AND COMPLEX SYSTEMS
6 CFU - 48 hours - Secondo Semestre
ALGORITHMS AND PROGRAMMING FOR MASSIVE DATA
6 CFU - 48 hours - Secondo Semestre
Required
FINAL EXAMINATION
3 CFU - 0 hours
COMPUTATIONAL LEARNING
6 CFU - 48 hours
FINAL WORK: DEVELOPMENT OF THESIS
18 CFU - 0 hours
HIGH LEVEL TRAINING
3 CFU - 75 hours
Optional, according to the rules of choice of your study plan
COMPUTER FORENSICS
6 CFU - 48 hours
LANGUAGE, COGNITION AND COMPUTATION
6 CFU - 48 hours
BIG DATA IN BIOLOGY
6 CFU - 48 hours
MODELS IN COMPUTATIONAL BIOLOGY
6 CFU - 48 hours
CHEMICAL-PHYSICAL MODELLING
6 CFU - 48 hours
DATA SCIENCE IN PARTICLE PHYSICS
6 CFU - 48 hours
ANALYSIS OF NUMERICAL SERIES FOR GEOPHYSICS
6 CFU - 48 hours
NUMERICAL PALEOBIOLOGY
6 CFU - 48 hours
GEOMETRIC DEEP LEARNING
6 CFU - 48 hours
MATHEMATICAL MODELS FOR DISTRIBUTED LEDGERS: THEORY AND USE CASES
6 CFU - 48 hours
STATISTICAL ANALYSIS OF NETWORK DATA
6 CFU - 48 hours
INFORMATION RETRIEVAL AND SEMANTIC WEB TECHNOLOGIES
6 CFU - 48 hours
QUANTUM MACHINE LEARNING
6 CFU - 48 hours
QUANTUM MACHINE LEARNING
6 CFU - 48 hours
IMAGE ANALYSIS AND COMPUTER VISION WITH APPLICATIONS TO PHYSICAL SCIENCES
6 CFU - 48 hours