Master's Degree

DATA SCIENCE AND ARTIFICIAL INTELLIGENCE

The course Study plan

Study plan

Check the latest Study Plan available.

Curriculum

DATA SCIENCE AND ARTIFICIAL INTELLIGENCE FOR ECONOMY AND SOCIETY

Year:

1

2

Required:

HIGH PERFORMANCE AND CLOUD COMPUTING [297SM]

9 cfu

72 hours

ADVANCED STATISTICAL METHODS [332SM]

6 cfu

48 hours

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

6 cfu

48 hours

PROBABILISTIC AND DEEP MACHINE LEARNING [342SM]

12 cfu

96 hours

STATISTICAL METHODS [344SM]

9 cfu

72 hours

UNSUPERVISED LEARNING [362SM]

6 cfu

48 hours

1 optional course between (6 CFU):

MACHINE LEARNING OPERATIONS [305SM]

6 cfu

48 hours

ADVANCED PROGRAMMING [467SM]

6 cfu

48 hours

1 optional course between (6 CFU):

OPTIMIZATION FOR ARTIFICIAL INTELLIGENCE [343SM]

6 cfu

48 hours

INTRODUCTION TO MACHINE LEARNING [470SM]

6 cfu

48 hours

Required:

INTERNSHIP [857SM]

12 cfu

0 hours

FINAL EXAMINATION [PFINE]

18 cfu

0 hours

1 optional course between (6 CFU):

ENTREPRENEURSHIP AND BUSINESS MODELLING [325SM]

6 cfu

48 hours

MULTI-AGENT SYSTEMS [335SM]

6 cfu

48 hours

DATA MANAGEMENT [339SM]

6 cfu

60 hours

DATA SCIENCE FOR INSURANCE [372SM]

6 cfu

48 hours

STATISTICAL ANALYSIS OF NETWORKS [373SM]

6 cfu

48 hours

NATURAL LANGUAGE PROCESSING [478SM]

6 cfu

48 hours

INFORMATION RETRIEVAL AND DATA VISUALIZATION [481SM]

6 cfu

48 hours

BAYESIAN STATISTICS [553SM]

6 cfu

48 hours

RESPONSIBLE AND FAIR ARTIFICIAL INTELLIGENCE [985MG]

6 cfu

48 hours

EXPLAINABLE, CAUSAL AND NEURO-SYMBOLIC ARTIFICIAL INTELLIGENCE [986MG]

6 cfu

48 hours

2 optional courses between (12 CFU):

ENTREPRENEURSHIP AND BUSINESS MODELLING [325SM]

6 cfu

48 hours

MULTI-AGENT SYSTEMS [335SM]

6 cfu

48 hours

DATA SCIENCE FOR INSURANCE [372SM]

6 cfu

48 hours

STATISTICAL ANALYSIS OF NETWORKS [373SM]

6 cfu

48 hours

NATURAL LANGUAGE PROCESSING [478SM]

6 cfu

48 hours

INFORMATION RETRIEVAL AND DATA VISUALIZATION [481SM]

6 cfu

48 hours

BAYESIAN STATISTICS [553SM]

6 cfu

48 hours

RESPONSIBLE AND FAIR ARTIFICIAL INTELLIGENCE [985MG]

6 cfu

48 hours

EXPLAINABLE, CAUSAL AND NEURO-SYMBOLIC ARTIFICIAL INTELLIGENCE [986MG]

6 cfu

48 hours

Elective courses (12 CFU):
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

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

6 cfu

48 hours

PROBABILISTIC AND DEEP MACHINE LEARNING [342SM]

12 cfu

96 hours

STATISTICAL METHODS [344SM]

9 cfu

72 hours

1 optional course between (6 CFU):

MACHINE LEARNING OPERATIONS [305SM]

6 cfu

48 hours

ADVANCED PROGRAMMING [467SM]

6 cfu

48 hours

1 optional course between (6 CFU):

UNSUPERVISED LEARNING [362SM]

6 cfu

48 hours

INTRODUCTION TO MACHINE LEARNING [470SM]

6 cfu

48 hours

1 optional course between (6 CFU):

ALGORITHMIC DESIGN [298SM]

6 cfu

48 hours

ALGORITHMIC DATA MINING [340SM]

6 cfu

48 hours

1 optional course between (6 CFU):

STATISTICAL LEARNING IN EPIDEMIOLOGY [330SM]

6 cfu

48 hours

STOCHASTIC MODELLING AND SIMULATION [580SM]

6 cfu

48 hours

Required:

COMPUTATIONAL GENOMICS [327SM]

6 cfu

48 hours

INTERNSHIP [857SM]

12 cfu

0 hours

FINAL EXAMINATION [PFINE]

18 cfu

0 hours

Optional course (6 CFU):

UNSUPERVISED LEARNING [362SM]

6 cfu

48 hours

1 optional course between (6 CFU):

COMPUTATIONAL NEUROSCIENCE [326SM]

6 cfu

48 hours

STATISTICAL LEARNING IN EPIDEMIOLOGY [330SM]

6 cfu

48 hours

ADVANCED STATISTICAL METHODS [332SM]

6 cfu

48 hours

STOCHASTIC MODELLING AND SIMULATION [580SM]

6 cfu

48 hours

1 optional course between (6 CFU):

COMPUTATIONAL NEUROSCIENCE [326SM]

6 cfu

48 hours

STATISTICAL LEARNING IN EPIDEMIOLOGY [330SM]

6 cfu

48 hours

ADVANCED STATISTICAL METHODS [332SM]

6 cfu

48 hours

DATA MANAGEMENT [339SM]

6 cfu

48 hours

STOCHASTIC MODELLING AND SIMULATION [580SM]

6 cfu

48 hours

Elective courses (12 CFU):
Curriculum

DATA SCIENCE AND ARTIFICIAL INTELLIGENCE FOR INDUSTRY AND DIGITAL TWINS

Year:

1

2

Required:

HIGH PERFORMANCE AND CLOUD COMPUTING [297SM]

9 cfu

72 hours

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

6 cfu

48 hours

PROBABILISTIC AND DEEP MACHINE LEARNING [342SM]

12 cfu

96 hours

STATISTICAL METHODS [344SM]

9 cfu

72 hours

STOCHASTIC MODELLING AND SIMULATION [580SM]

6 cfu

48 hours

1 optional course between (6 CFU):

MACHINE LEARNING OPERATIONS [305SM]

6 cfu

48 hours

ADVANCED PROGRAMMING [467SM]

6 cfu

48 hours

1 optional course between (6 CFU):

OPTIMIZATION FOR ARTIFICIAL INTELLIGENCE [343SM]

6 cfu

48 hours

INTRODUCTION TO MACHINE LEARNING [470SM]

6 cfu

48 hours

1 optional course between (6 CFU):

ADVANCED NUMERICAL ANALYSIS [579SM]

6 cfu

48 hours

NUMERICAL ANALYSIS [584SM]

6 cfu

48 hours

NUMERICAL METHODS FOR MACHINE LEARNING [983MG]

6 cfu

48 hours

Required:

INTERNSHIP [857SM]

12 cfu

0 hours

SCIENTIFIC MACHINE LEARNING AND SIMULATION INTELLIGENCE [984MG]

6 cfu

48 hours

SAFE AND VERIFIED ARTIFICIAL INTELLIGENCE [998MG]

6 cfu

48 hours

FINAL EXAMINATION [PFINE]

18 cfu

0 hours

1 optional course between (6 CFU):

MATHEMATICAL OPTIMISATION [446SM]

6 cfu

48 hours

REINFORCEMENT LEARNING [453SM]

6 cfu

48 hours

EXPLAINABLE, CAUSAL AND NEURO-SYMBOLIC ARTIFICIAL INTELLIGENCE [986MG]

6 cfu

48 hours

CONTROL OF CYBER-PHYSICAL SYSTEMS [987MG]

6 cfu

48 hours

Elective courses (12 CFU):
Curriculum

FOUNDATIONS OF ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

Year:

1

2

Required:

HIGH PERFORMANCE AND CLOUD COMPUTING [297SM]

9 cfu

72 hours

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

6 cfu

48 hours

PROBABILISTIC AND DEEP MACHINE LEARNING [342SM]

12 cfu

96 hours

STATISTICAL METHODS [344SM]

9 cfu

72 hours

REINFORCEMENT LEARNING [453SM]

6 cfu

48 hours

1 optional course between (6 CFU):

MACHINE LEARNING OPERATIONS [305SM]

6 cfu

48 hours

ADVANCED PROGRAMMING [467SM]

6 cfu

48 hours

1 optional course between (6 CFU):

OPTIMIZATION FOR ARTIFICIAL INTELLIGENCE [343SM]

6 cfu

48 hours

INTRODUCTION TO MACHINE LEARNING [470SM]

6 cfu

48 hours

1 optional course between (6 CFU):

ALGORITHMIC DESIGN [298SM]

6 cfu

48 hours

ALGORITHMIC DATA MINING [340SM]

6 cfu

48 hours

Required:

INTERNSHIP [857SM]

12 cfu

0 hours

FINAL EXAMINATION [PFINE]

18 cfu

0 hours

Optional course (6 CFU):

OPTIMIZATION FOR ARTIFICIAL INTELLIGENCE [343SM]

6 cfu

48 hours

1 optional course between (6 CFU):

ADVANCED DATA MANAGEMENT [328SM]

6 cfu

48 hours

ADVANCED STATISTICAL METHODS [332SM]

6 cfu

48 hours

ADVANCED DEEP LEARNING AND KERNEL METHODS [333SM]

6 cfu

48 hours

MULTI-AGENT SYSTEMS [335SM]

6 cfu

48 hours

UNSUPERVISED LEARNING [362SM]

6 cfu

48 hours

NATURAL LANGUAGE PROCESSING [478SM]

6 cfu

48 hours

INFORMATION RETRIEVAL AND DATA VISUALIZATION [481SM]

6 cfu

48 hours

COMPUTER VISION AND PATTERN RECOGNITION [554SM]

6 cfu

48 hours

SCIENTIFIC MACHINE LEARNING AND SIMULATION INTELLIGENCE [984MG]

6 cfu

48 hours

RESPONSIBLE AND FAIR ARTIFICIAL INTELLIGENCE [985MG]

6 cfu

48 hours

EXPLAINABLE, CAUSAL AND NEURO-SYMBOLIC ARTIFICIAL INTELLIGENCE [986MG]

6 cfu

48 hours

SAFE AND VERIFIED ARTIFICIAL INTELLIGENCE [998MG]

6 cfu

48 hours

1 optional course between (6 CFU):

ADVANCED DATA MANAGEMENT [328SM]

6 cfu

48 hours

ADVANCED STATISTICAL METHODS [332SM]

6 cfu

48 hours

ADVANCED DEEP LEARNING AND KERNEL METHODS [333SM]

6 cfu

48 hours

DATA MANAGEMENT [339SM]

6 cfu

60 hours

UNSUPERVISED LEARNING [362SM]

6 cfu

48 hours

NATURAL LANGUAGE PROCESSING [478SM]

6 cfu

48 hours

INFORMATION RETRIEVAL AND DATA VISUALIZATION [481SM]

6 cfu

48 hours

COMPUTER VISION AND PATTERN RECOGNITION [554SM]

6 cfu

48 hours

SCIENTIFIC MACHINE LEARNING AND SIMULATION INTELLIGENCE [984MG]

6 cfu

48 hours

1 optional course between (6 CFU):

MULTI-AGENT SYSTEMS [335SM]

6 cfu

48 hours

RESPONSIBLE AND FAIR ARTIFICIAL INTELLIGENCE [985MG]

6 cfu

48 hours

EXPLAINABLE, CAUSAL AND NEURO-SYMBOLIC ARTIFICIAL INTELLIGENCE [986MG]

6 cfu

48 hours

SAFE AND VERIFIED ARTIFICIAL INTELLIGENCE [998MG]

6 cfu

48 hours

Elective courses (12 CFU):
Curriculum

HIGH PERFORMANCE COMPUTING FOR DATA SCIENCE AND ARTIFICIAL INTELLIGENCE

Year:

1

2

Required:

HIGH PERFORMANCE AND CLOUD COMPUTING [297SM]

9 cfu

72 hours

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

6 cfu

48 hours

PROBABILISTIC AND DEEP MACHINE LEARNING [342SM]

12 cfu

96 hours

STATISTICAL METHODS [344SM]

9 cfu

72 hours

ADVANCED PROGRAMMING [467SM]

6 cfu

48 hours

1 optional course between (6 CFU):

MACHINE LEARNING OPERATIONS [305SM]

6 cfu

48 hours

INTRODUCTION TO MACHINE LEARNING [470SM]

6 cfu

48 hours

1 optional course between (6 CFU):

ALGORITHMIC DESIGN [298SM]

6 cfu

48 hours

ALGORITHMIC DATA MINING [340SM]

6 cfu

48 hours

1 optional course between (6 CFU):

ADVANCED DATA MANAGEMENT [328SM]

6 cfu

48 hours

DATA MANAGEMENT [339SM]

6 cfu

60 hours

Required:

HIGH PERFORMANCE COMPUTING AND DATA INFRASTRUCTURES [306SM]

6 cfu

48 hours

MATHEMATICAL OPTIMISATION [446SM]

6 cfu

48 hours

INTERNSHIP [857SM]

12 cfu

0 hours

FINAL EXAMINATION [PFINE]

18 cfu

0 hours

1 optional course between (6 CFU):

ADVANCED HIGH PERFORMANCE COMPUTING [307SM]

6 cfu

48 hours

ADVANCED DATA MANAGEMENT [328SM]

6 cfu

48 hours

Optional course (6 CFU):

ADVANCED HIGH PERFORMANCE COMPUTING [307SM]

6 cfu

48 hours

Elective courses (12 CFU):

[SM38] Study Plan 2025/26 | ITA only

[SM38] Study Plan 2024/25 | ITA only

[SM38] Study Plan 2023/24 | ITA only

Teaching Regulations

For Study Plans and Teaching Regulation of previous cohorts/years.

see teaching regulations

Study Plan description

Types of educational activities (TAF), credits and elective courses

see Study Plan description

Double Degree

see double degree page

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