Data Science and Engineering
Ingegneria dei Dati
Master (Laurea magistrale) (LM-32) · 2 years · taught in english · Torino
Master of Science curriculum focused on machine learning algorithms, statistical data analysis, cloud architectures, distributed computing systems, and big data management.
At a glance
| Degree | Master (Laurea magistrale) |
|---|---|
| Degree class | LM-32 |
| Language | English |
| Duration | 2 years |
| City | Torino |
| Admission | Undergraduate Academic Record and Syllabus Evaluation |
| Latest published deadline | Non-EU international master application 1st call, 2026-02-13 (intake 2026/27) |
Admission
- Undergraduate Academic Record and Syllabus Evaluation
- Admission is based on curricular assessment of the applicant's bachelor degree in computer engineering, mathematics, physics, or related quantitative sciences, including minimum university credit requirements and grade point average.
- Source, checked 23 October 2026
Requirements
- Bachelor Degree in Engineering or Quantitative Science
- Accredited bachelor degree with substantial foundations in computer programming, calculus, and linear algebra.
- Source, checked 23 October 2026
- English B2 Level
- IELTS 5.5, TOEFL iBT 72, or equivalent CEFR B2 certificate.
- Source, checked 23 October 2026
Deadlines
| Date | What | Intake | Who | Source |
|---|---|---|---|---|
| 19 December 2025 to 13 February 2026 | Non-EU international master application 1st call | 2026/27 | Non-EU, resident abroad | Official |
Every fact on this page was checked against official sources on 23 October 2026. Deadlines change every year: the university's own call is binding (official page).