Curriculum - A.Y. 2023/2024
1st year
| Course | credits | Programme |
|---|---|---|
| APPLIED LINEAR MODELS (SECS-S/01) | 8 |
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| COMPUTATIONAL STATISTICS (SECS-S/01) | 8 |
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| MATHEMATICAL METHODS AND PROBABILITY (MAT/06) | 8 |
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| PRINCIPLES OF MANAGEMENT AND TECH LAW (IUS/07,SECS-P/07) | 8 |
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| STATISTICAL INFERENCE (SECS-S/01) | 8 |
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One elective course among:
(credits 8)
| Course | credits | Programme |
|---|---|---|
| BAYESIAN MODELLING (SECS-S/01) | 8 |
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| NEW VENTURE DEVELOPMENT AND DATA-DRIVEN STRATEGY (SECS-P/07) | 8 |
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| Course | credits | Programme |
|---|---|---|
| DATABASE SYSTEMS AND COMPUTER PROGRAMMING | 8 |
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| Course | credits | Programme |
|---|---|---|
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All degree-seeking students are required to attend theology teachings aimed at offering a reasoned and critical knowledge of the Christian message.
TEOLOGIA - CORSO SEMINARIALE |
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2nd year
| Course | credits | Programme |
|---|---|---|
| ADVANCED PROGRAMMING AND DEEP LEARNING FOR AI (ING-INF/05) | 8 |
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| STATISTICAL LEARNING (SECS-S/01) | 8 |
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| TIME SERIES AND SPATIAL DATA ANALYSIS (SECS-S/03) | 8 |
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One elective course among:
(credits 8)
| Course | credits | Programme |
|---|---|---|
| FINANCIAL MARKETS AND INSTITUTIONS (SECS-P/11) | 8 |
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| STOCHASTIC PROCESSES AND OPTIMIZATION FOR MACHINE LEARNING (SECS-S/06) | 8 |
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One elective course among:
(credits 8)
| Course | credits | Programme |
|---|---|---|
| DATA VISUALIZATION AND TEXT MINING (ING-INF/05) | 8 |
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| EMPIRICAL ECONOMICS (SECS-P/01) | 8 |
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| MARKETING ANALYTICS (SECS-P/08) | 8 |
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| Course | credits | Programme |
|---|---|---|
| ELECTIVE COURSES | 8 |
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| THESIS | 16 |
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