Study plan

Check the latest Study Plan available. For previous cohorts, visit the Teaching Regulations page.

Curriculum

DATA SCIENCE AND ARTIFICIAL INTELLIGENCE FOR ECONOMY AND SOCIETY

Year:

1

2

Required:

ADVANCED STATISTICAL METHODS [332SM]

6 cfu

48 hours

ETHICS AND LAW OF DATA AND ARTIFICIAL INTELLIGENCE [341SM]

6 cfu

48 hours

HIGH PERFORMANCE AND CLOUD COMPUTING [297SM]

9 cfu

72 hours

PROBABILISTIC AND DEEP MACHINE LEARNING [342SM]

12 cfu

96 hours

STATISTICAL METHODS [344SM]

9 cfu

72 hours

1 optional course between (6 CFU):

ADVANCED PROGRAMMING [467SM]

6 cfu

48 hours

MACHINE LEARNING OPERATIONS [305SM]

6 cfu

48 hours

1 optional course between (6 CFU):

INTRODUCTION TO MACHINE LEARNING [470SM]

6 cfu

48 hours

UNSUPERVISED LEARNING [362SM]

6 cfu

48 hours

1 optional course between (6 CFU):

DATA MANAGEMENT [339SM]

6 cfu

60 hours

INFORMATION RETRIEVAL AND DATA VISUALIZATION [481SM]

6 cfu

48 hours

Required:

FINAL EXAMINATION [PFINE]

18 cfu

0 hours

INTERNSHIP [857SM]

12 cfu

120 hours

3 optional courses between (18 CFU):

BAYESIAN STATISTICS [553SM]

6 cfu

48 hours

DATA SCIENCE FOR INSURANCE [372SM]

6 cfu

48 hours

ENTREPRENEURSHIP AND BUSINESS MODELLING [325SM]

6 cfu

48 hours

INFORMATION RETRIEVAL AND DATA VISUALIZATION [481SM]

6 cfu

48 hours

MULTI-AGENT SYSTEMS [335SM]

6 cfu

48 hours

NATURAL LANGUAGE PROCESSING [478SM]

6 cfu

48 hours

STATISTICAL ANALYSIS OF SOCIAL NETWORKS [324SM]

6 cfu

48 hours

TIME-SERIES ANALYSIS [997MG]

6 cfu

48 hours

UNSUPERVISED LEARNING [362SM]

6 cfu

48 hours

Elective courses (12 CFU):

BAYESIAN STATISTICS [553SM]

6 cfu

48 hours

DATA SCIENCE FOR INSURANCE [372SM]

6 cfu

48 hours

ENTREPRENEURSHIP AND BUSINESS MODELLING [325SM]

6 cfu

48 hours

INFORMATION RETRIEVAL AND DATA VISUALIZATION [481SM]

6 cfu

48 hours

MULTI-AGENT SYSTEMS [335SM]

6 cfu

48 hours

NATURAL LANGUAGE PROCESSING [478SM]

6 cfu

48 hours

STATISTICAL ANALYSIS OF SOCIAL NETWORKS [324SM]

6 cfu

48 hours

TIME-SERIES ANALYSIS [997MG]

6 cfu

48 hours

UNSUPERVISED LEARNING [362SM]

6 cfu

48 hours
Curriculum

DATA SCIENCE AND ARTIFICIAL INTELLIGENCE FOR HEALTH AND LIFE SCIENCES

Year:

1

2

Required:

HIGH PERFORMANCE AND CLOUD COMPUTING [297SM]

9 cfu

72 hours

PROBABILISTIC AND DEEP MACHINE LEARNING [342SM]

12 cfu

96 hours

STATISTICAL LEARNING IN EPIDEMIOLOGY [330SM]

6 cfu

48 hours

STATISTICAL METHODS [344SM]

9 cfu

72 hours

1 optional course between (6 CFU):

ADVANCED PROGRAMMING [467SM]

6 cfu

48 hours

MACHINE LEARNING OPERATIONS [305SM]

6 cfu

48 hours

1 optional course between (6 CFU):

INTRODUCTION TO MACHINE LEARNING [470SM]

6 cfu

48 hours

UNSUPERVISED LEARNING [362SM]

6 cfu

48 hours

1 optional course between (6 CFU):

ALGORITHMIC DATA MINING [340SM]

6 cfu

48 hours

ALGORITHMIC DESIGN [298SM]

6 cfu

48 hours

1 optional course between (6 CFU):

ADVANCED STATISTICAL METHODS [332SM]

6 cfu

48 hours

DATA MANAGEMENT [339SM]

6 cfu

60 hours

STOCHASTIC MODELLING AND SIMULATION [580SM]

6 cfu

48 hours

Required:

COMPUTATIONAL GENOMICS [327SM]

6 cfu

48 hours

ETHICS AND LAW OF DATA AND ARTIFICIAL INTELLIGENCE [341SM]

6 cfu

48 hours

FINAL EXAMINATION [PFINE]

18 cfu

0 hours

INTERNSHIP [857SM]

12 cfu

120 hours

1 optional course between (6 CFU):

ADVANCED STATISTICAL METHODS [332SM]

6 cfu

48 hours

COMPUTATIONAL NEUROSCIENCE [326SM]

6 cfu

48 hours

STOCHASTIC MODELLING AND SIMULATION [580SM]

6 cfu

48 hours

UNSUPERVISED LEARNING [362SM]

6 cfu

48 hours

Elective courses (12 CFU):

ADVANCED STATISTICAL METHODS [332SM]

6 cfu

48 hours

COMPUTATIONAL NEUROSCIENCE [326SM]

6 cfu

48 hours

STOCHASTIC MODELLING AND SIMULATION [580SM]

6 cfu

48 hours

UNSUPERVISED LEARNING [362SM]

6 cfu

48 hours
Curriculum

DATA SCIENCE AND ARTIFICIAL INTELLIGENCE FOR INDUSTRY AND CYBER-PHYSICAL SYSTEMS

Year:

1

2

Required:

HIGH PERFORMANCE AND CLOUD COMPUTING [297SM]

9 cfu

72 hours

MODELLING AND CONTROL OF CYBER-PHYSICAL SYSTEMS I [322SM]

6 cfu

48 hours

PROBABILISTIC AND DEEP MACHINE LEARNING [342SM]

12 cfu

96 hours

REINFORCEMENT LEARNING [453SM]

6 cfu

48 hours

STATISTICAL METHODS [344SM]

9 cfu

72 hours

1 optional course between (6 CFU):

ADVANCED PROGRAMMING [467SM]

6 cfu

48 hours

MACHINE LEARNING OPERATIONS [305SM]

6 cfu

48 hours

1 optional course between (6 CFU):

INTRODUCTION TO MACHINE LEARNING [470SM]

6 cfu

48 hours

MATHEMATICAL OPTIMISATION [446SM]

6 cfu

48 hours

1 optional course between (6 CFU):

ETHICS AND LAW OF DATA AND ARTIFICIAL INTELLIGENCE [341SM]

6 cfu

48 hours

NUMERICAL ANALYSIS [584SM]

6 cfu

48 hours

Required:

MODELLING AND CONTROL OF CYBER-PHYSICAL SYSTEMS II [331SM]

6 cfu

48 hours

FINAL EXAMINATION [PFINE]

18 cfu

0 hours

INTERNSHIP [857SM]

12 cfu

120 hours

1 optional course between (6 CFU):

MATHEMATICAL OPTIMISATION [446SM]

6 cfu

48 hours

SAFE AND VERIFIED ARTIFICIAL INTELLIGENCE [998MG]

6 cfu

48 hours

SIMULATION INTELLIGENCE AND LEARNING FOR AUTONOMOUS SYSTEMS [329SM]

6 cfu

48 hours

1 optional course between (6 CFU):

DATA MANAGEMENT [339SM]

6 cfu

60 hours

SAFE AND VERIFIED ARTIFICIAL INTELLIGENCE [998MG]

6 cfu

48 hours

SIMULATION INTELLIGENCE AND LEARNING FOR AUTONOMOUS SYSTEMS [329SM]

6 cfu

48 hours

1 optional course between (6 CFU):

DATA MANAGEMENT [339SM]

6 cfu

60 hours

ETHICS AND LAW OF DATA AND ARTIFICIAL INTELLIGENCE [341SM]

6 cfu

48 hours

MATHEMATICAL OPTIMISATION [446SM]

6 cfu

48 hours

SAFE AND VERIFIED ARTIFICIAL INTELLIGENCE [998MG]

6 cfu

48 hours

SIMULATION INTELLIGENCE AND LEARNING FOR AUTONOMOUS SYSTEMS [329SM]

6 cfu

48 hours

Elective courses (6 CFU):

DATA MANAGEMENT [339SM]

6 cfu

60 hours

ETHICS AND LAW OF DATA AND ARTIFICIAL INTELLIGENCE [341SM]

6 cfu

48 hours

MATHEMATICAL OPTIMISATION [446SM]

6 cfu

48 hours

SAFE AND VERIFIED ARTIFICIAL INTELLIGENCE [998MG]

6 cfu

48 hours

SIMULATION INTELLIGENCE AND LEARNING FOR AUTONOMOUS SYSTEMS [329SM]

6 cfu

48 hours
Curriculum

FOUNDATIONS OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

Year:

1

2

Required:

ETHICS AND LAW OF DATA AND ARTIFICIAL INTELLIGENCE [341SM]

6 cfu

48 hours

HIGH PERFORMANCE AND CLOUD COMPUTING [297SM]

9 cfu

72 hours

PROBABILISTIC AND DEEP MACHINE LEARNING [342SM]

12 cfu

96 hours

REINFORCEMENT LEARNING [453SM]

6 cfu

48 hours

STATISTICAL METHODS [344SM]

9 cfu

72 hours

1 optional course between (6 CFU):

ADVANCED PROGRAMMING [467SM]

6 cfu

48 hours

MACHINE LEARNING OPERATIONS [305SM]

6 cfu

48 hours

1 optional course between (6 CFU):

INTRODUCTION TO MACHINE LEARNING [470SM]

6 cfu

48 hours

OPTIMIZATION FOR ARTIFICIAL INTELLIGENCE [343SM]

6 cfu

48 hours

1 optional course between (6 CFU):

ALGORITHMIC DATA MINING [340SM]

6 cfu

48 hours

ALGORITHMIC DESIGN [298SM]

6 cfu

48 hours

Required:

FINAL EXAMINATION [PFINE]

18 cfu

0 hours

INTERNSHIP [857SM]

12 cfu

120 hours

1 optional course between (6 CFU):

ADVANCED DATA MANAGEMENT [328SM]

6 cfu

48 hours

ADVANCED DEEP LEARNING AND KERNEL METHODS [333SM]

6 cfu

48 hours

ADVANCED STATISTICAL METHODS [332SM]

6 cfu

48 hours

COMPUTER VISION AND PATTERN RECOGNITION [554SM]

6 cfu

48 hours

INFORMATION RETRIEVAL AND DATA VISUALIZATION [481SM]

6 cfu

48 hours

NATURAL LANGUAGE PROCESSING [478SM]

6 cfu

48 hours

OPTIMIZATION FOR ARTIFICIAL INTELLIGENCE [343SM]

6 cfu

48 hours

UNSUPERVISED LEARNING [362SM]

6 cfu

48 hours

1 optional course between (between 6 and 9 CFU):

EXPLAINABLE AND NEURO-SYMBOLIC ARTIFICIAL INTELLIGENCE [999MG]

6 cfu

48 hours

INTRODUCTION TO ARTIFICIAL INTELLIGENCE [338SM]

9 cfu

72 hours

MULTI-AGENT SYSTEMS [335SM]

6 cfu

48 hours

SIMULATION INTELLIGENCE AND LEARNING FOR AUTONOMOUS SYSTEMS [329SM]

6 cfu

48 hours

SYMBOLIC AND RELIABLE ARTIFICIAL INTELLIGENCE [296SM]

6 cfu

48 hours

1 optional course between (6 CFU):

ADVANCED DATA MANAGEMENT [328SM]

6 cfu

48 hours

ADVANCED DEEP LEARNING AND KERNEL METHODS [333SM]

6 cfu

48 hours

ADVANCED STATISTICAL METHODS [332SM]

6 cfu

48 hours

COMPUTER VISION AND PATTERN RECOGNITION [554SM]

6 cfu

48 hours

DATA MANAGEMENT [339SM]

6 cfu

60 hours

INFORMATION RETRIEVAL AND DATA VISUALIZATION [481SM]

6 cfu

48 hours

NATURAL LANGUAGE PROCESSING [478SM]

6 cfu

48 hours

UNSUPERVISED LEARNING [362SM]

6 cfu

48 hours

Elective courses (12 CFU):

ADVANCED DATA MANAGEMENT [328SM]

6 cfu

48 hours

ADVANCED DEEP LEARNING AND KERNEL METHODS [333SM]

6 cfu

48 hours

ADVANCED STATISTICAL METHODS [332SM]

6 cfu

48 hours

COMPUTER VISION AND PATTERN RECOGNITION [554SM]

6 cfu

48 hours

DATA MANAGEMENT [339SM]

6 cfu

60 hours

EXPLAINABLE AND NEURO-SYMBOLIC ARTIFICIAL INTELLIGENCE [999MG]

6 cfu

48 hours

INFORMATION RETRIEVAL AND DATA VISUALIZATION [481SM]

6 cfu

48 hours

INTRODUCTION TO ARTIFICIAL INTELLIGENCE [338SM]

9 cfu

72 hours

MULTI-AGENT SYSTEMS [335SM]

6 cfu

48 hours

NATURAL LANGUAGE PROCESSING [478SM]

6 cfu

48 hours

OPTIMIZATION FOR ARTIFICIAL INTELLIGENCE [343SM]

6 cfu

48 hours

SIMULATION INTELLIGENCE AND LEARNING FOR AUTONOMOUS SYSTEMS [329SM]

6 cfu

48 hours

SYMBOLIC AND RELIABLE ARTIFICIAL INTELLIGENCE [296SM]

6 cfu

48 hours

UNSUPERVISED LEARNING [362SM]

6 cfu

48 hours

[SM38] Study Plan 2024/25 | ITA only

[SM38] Study Plan 2023/24 | ITA only

DATA SCIENCE AND ARTIFICIAL INTELLIGENCE

DATA SCIENCE AND ARTIFICIAL INTELLIGENCE FOR ECONOMY AND SOCIETY

DATA SCIENCE AND ARTIFICIAL INTELLIGENCE FOR HEALTH AND LIFE SCIENCES

DATA SCIENCE AND ARTIFICIAL INTELLIGENCE FOR INDUSTRY AND CYBER-PHYSICAL SYSTEMS

FOUNDATIONS OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

Department

Location

Ministerial degree class

Double degree

Inter-university

Admission

Teaching modality

PA 110 cum laude

Visa applicants

DATA SCIENCE AND ARTIFICIAL INTELLIGENCE

Main content

Study plan

DATA SCIENCE AND ARTIFICIAL INTELLIGENCE FOR ECONOMY AND SOCIETY

DATA SCIENCE AND ARTIFICIAL INTELLIGENCE FOR HEALTH AND LIFE SCIENCES

DATA SCIENCE AND ARTIFICIAL INTELLIGENCE FOR INDUSTRY AND CYBER-PHYSICAL SYSTEMS

FOUNDATIONS OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

Department

Location

Ministerial degree class

Double degree

Inter-university

Admission

Teaching modality

PA 110 cum laude

Visa applicants