Faculty of: ECONOMIA; SCIENZE MATEMATICHE, FISICHE E NATURALI

Data analytics for business

Milano

Academic Year
2023/2024
Duration
2 Years
Language
English
Degree Classes
LM-82 (Scienze statistiche)

Curriculum - A.Y. 2023/2024

1st year

Course credits Programme
APPLIED LINEAR MODELS (SECS-S/01) 8 Download
COMPUTATIONAL STATISTICS (SECS-S/01) 8 Download
MATHEMATICAL METHODS AND PROBABILITY (MAT/06) 8 Download
PRINCIPLES OF MANAGEMENT AND TECH LAW (IUS/07,SECS-P/07) 8 Download
STATISTICAL INFERENCE (SECS-S/01) 8 Download
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

One elective course among:

(credits 8)

Course credits Programme
BAYESIAN MODELLING (SECS-S/01) 8 Download
NEW VENTURE DEVELOPMENT AND DATA-DRIVEN STRATEGY (SECS-P/07) 8 Download
Course credits Programme
DATABASE SYSTEMS AND COMPUTER PROGRAMMING 8 Download

2nd year

Course credits Programme
ADVANCED PROGRAMMING AND DEEP LEARNING FOR AI (ING-INF/05) 8 Download
STATISTICAL LEARNING (SECS-S/01) 8 Download
TIME SERIES AND SPATIAL DATA ANALYSIS (SECS-S/03) 8 Download

One elective course among:

(credits 8)

Course credits Programme
FINANCIAL MARKETS AND INSTITUTIONS (SECS-P/11) 8 Download
STOCHASTIC PROCESSES AND OPTIMIZATION FOR MACHINE LEARNING (SECS-S/06) 8 Download

One elective course among:

(credits 8)

Course credits Programme
DATA VISUALIZATION AND TEXT MINING (ING-INF/05) 8 Download
EMPIRICAL ECONOMICS (SECS-P/01) 8 Download
MARKETING ANALYTICS (SECS-P/08) 8 Download
Course credits Programme
ELECTIVE COURSES 8
THESIS 16