Data Science and Management

Immagine
I corsi di laurea e di laurea magistrale in Luiss.

I - Academic year (2021-2022)

Code Course SSD Credits Professor
DSM01 ADVANCED STATISTICS SECS-S/01 6
DSM03 DIGITAL ECOSYSTEMS SECS-P/10 6
DSM02 INTERNET AND NETWORK ECONOMICS SECS-P/06 6
LABDSM1 PYTHON AND R FOR DATA SCIENCE (LAB) ING-INF/05 6
Code Course SSD Credits Professor
DSM06 DATA PRIVACY AND SECURITY ING-INF/05 6
DSM04 DATA VISUALIZATION ING-INF/05 6
DSM05 DATA-DRIVEN INNOVATION SECS-P/08 6
DSM07 MACHINE LEARNING ING-INF/05 6
Code Course SSD Credits Professor
DSM11 DATA SCIENCE IN ACTION INF/01 6

II - Academic (2022-2023)

Code Course SSD Credits Professor
DSM08 BIG DATA AND SMART DATA ANALYTICS SECS-S/01 6
  • TBA
DSM12 ETHICS FOR ARTIFICIAL INTELLIGENCE M-FIL/02 4
  • TBA
DSM10 INTERNATIONAL OPERATIONS AND GLOBAL SUPPLY CHAIN SECS-P/08 6
  • TBA
DSM09 PRIVACY IN THE DIGITAL WORLD IUS/01 6
  • TBA
Additional credits Credits
A scelta dello studente 12
Per la prova finale 16
Ulteriori conoscenze linguistiche 4
Abilità informatiche e telematiche 6
Tirocini formativi e di orientamento 8
Altre conoscenze utili per l'inserimento nel mondo del lavoro 8
Total number of credits 120

Additional credits 

A scelta dello studente - Elective courses (12 credits) 
Students have to choose two courses of 6 credits that will be held in the I semester of the II year. The courses have to be chosen at the end of the I year.
 
Prova Finale - Master Degree's Thesis (16 credits)
The final evaluation for master's degree programs consists of the discussion and evaluation of a dissertation written in English on a topic related to a course the student has passed an exam on. 

Ulteriori conoscenze linguistiche – Mandatory language (4 credits) 
Students have to attend a mandatory language, choosing from Arabic, Chinese, French, German, Portuguese, Russian and Spanish. The course will be held during the II semester of the I year.
Students must choose the mandatory language during the I semester of the I year according to the procedure that will be communicated. For further information: The University Language Center

Abilità informatiche e telematiche- computer skills (6 credits)
Students will have to take the (LABDSM1) PYTHON AND R FOR DATA SCIENCE (LAB) to acquire 6 credits.

Tirocini formativi e di orientamento - Internships and project works 
An internship or project work is required for 8 credits. The internship or project work can be performed in both the I and II year of the program. For more information contact the Career Services Office or Luiss Project Network

Altre conoscenze utili per l’inserimento nel mondo del lavoro - Other activities to gain useful work-related skills 
During the freshers Week students will take part to the Learning Innovation Activities. These activities are designed for the students to get to know Luiss. Students will meet important practitioners to reflect on important themes: diversity, ethics, the importance of socio-emotional sensibility in interpersonal relations, the importance of personal purpose in the professional and individual life.
The idea behind the project is to connect personal and professional life and learn from experienced practitioners. Students will develop several skills such as: team-work, project management, communications and organizational skills, and digital skills.
For selection purposes (Exchange Programs, Double Degrees, Structured Partnerships) account will be taken of all credits earned and recorded by the end of the winter exam session (including credits earned from internships, languages, seminars, soft skills, summer schools, courses brought forward, etc.). Credits earned from additional courses (corsi liberi) will not count.