The Master’s Degree Programme in Applied Computer Science — Machine Learning and Big Data (Degree Class LM-18, Law No. 240/2010) is a two-year programme comprising:
- 12 examinations;
- internship and work-placement activities at companies or research institutions operating in the field of computer science;
- a final examination consisting of the presentation and discussion of the Master’s degree thesis.
Programme Regulations
Regulations of the Master’s Degree Programme in Applied Computer Science — Machine Learning and Big Data.
Students may enrol as part-time students in accordance with the relevant regulations for students not enrolled on a full-time basis. This option is particularly recommended for working students, students who intend to work while studying, and those who are otherwise unable to commit to full-time study.
A presentation of the Master’s Degree Programme in Applied Computer Science — Machine Learning and Big Data is available on the UniParthenope YouTube channel.
Further Information
- Knowledge required for admission to the Master’s degree programme
- Learning objectives of the Master’s degree programme
- Professional profiles developed by the programme
- Knowledge and skills expected of Master’s graduates
- Learning objectives and courses included in the programme
- Career opportunities for Master’s graduates
- Distinctive features of the UniParthenope Master’s Degree Programme