Master's Degree in DATA SCIENCE FOR THE HUMAN AND SOCIAL SCIENCES (LM81)

Degree course in italian
DATA SCIENCE PER LE SCIENZE UMANE E SOCIALI (LM81)
Degree course
DATA SCIENCE FOR THE HUMAN AND SOCIAL SCIENCES (LM81)
Title
Master's Degree
MIUR Class
Data science - LM Data (DM270)
Length
2 years
Credits
120
Department
HUMAN AND SOCIAL SCIENCES
Website
Language
ITALIAN
Location
Lecce
Academic year
2023/2024
Type of access/Available places
Free access course
Career opportunities
2.1.1.5.2 - Analisti e progettisti di basi dati
2.5.3.2.1 - Esperti nello studio, nella gestione e nel controllo dei fenomeni sociali

Course description

No

Course modules

Data Analytics

Course's rules

Data Mining (ING-INF/05)

9 credits - Characterizing - Compulsory [Code: A007247]

Introduction to Data Processing and Machine Learning (ING-INF/03)

9 credits - Characterizing - Compulsory [Code: A007245]

Qualitative methods for data science (SPS/07)

9 credits - Characterizing - Compulsory [Code: A007248]

Multidimensional models for data analysis (M-PSI/03)

9 credits - Related/Supplementary - Compulsory [Code: A007246]

Project Management (ING-IND/35)

8 credits - Characterizing - Compulsory [Code: A007250]

Other useful knowledge for entering the world of work (NN)

1 credits - Other - Compulsory [Code: A007267]

Data analysis and big data (ING-INF/05)

6 credits - Characterizing - Compulsory [Code: A007257]

Mathematical methods for data science (SECS-S/06)

8 credits - Related/Supplementary - Compulsory [Code: A007256]

Statistical Models for Data Science (SECS-S/01)

6 credits - Characterizing - Compulsory [Code: A007251]

Privacy, Security and Special categories of personal data for Data Science (IUS/20)

6 credits - Characterizing - Compulsory [Code: A007255]

FINAL EXAM (PROFIN_S)

12 credits - Language/Final Exam - Compulsory [Code: 04889]

Internet technology (ING-INF/05)

9 credits - Characterizing - Compulsory [Code: A007249]

TRAINING PERIOD (NN)

5 credits - For stages and internships - Compulsory [Code: 03828]

Human and Social Data

Course's rules

Data Mining (ING-INF/05)

10 credits - Characterizing - Compulsory [Code: A007247]

Introduction to Data Processing and Machine Learning (ING-INF/03)

10 credits - Characterizing - Compulsory [Code: A007245]

Qualitative methods for data science (SPS/07)

9 credits - Characterizing - Compulsory [Code: A007248]

Multidimensional models for data analysis (M-PSI/03)

8 credits - Related/Supplementary - Compulsory [Code: A007246]

Project Management (ING-IND/35)

8 credits - Characterizing - Compulsory [Code: A007250]

Other useful knowledge for entering the world of work (NN)

1 credits - Other - Compulsory [Code: A007267]

Digital Technologies in the learning process (M-PED/03)

4 credits - Related/Supplementary - Optional [Code: A007254]

Cognitive and Experimental Economics (SECS-P/01)

5 credits - Related/Supplementary - Compulsory [Code: A007252]

Statistical Models for Data Science (SECS-S/01)

6 credits - Characterizing - Compulsory [Code: A007251]

Privacy, Security and Special categories of personal data for Data Science (IUS/20)

6 credits - Characterizing - Compulsory [Code: A007255]

FINAL EXAM (PROFIN_S)

12 credits - Language/Final Exam - Compulsory [Code: 04889]

Psychology of attitudes and opinions (M-PSI/05)

4 credits - Related/Supplementary - Optional [Code: A007253]

Internet technology (ING-INF/05)

10 credits - Characterizing - Compulsory [Code: A007249]

TRAINING PERIOD (NN)

5 credits - For stages and internships - Compulsory [Code: 03828]