Data Science

AAF activities (3 cfu)
 
In order to complete Data Science M.Sc. program you need to acquire the mandatory 3 credits of AAF included in each study plan.
•To get the 3 credits of AAF activities the student have to accomplish the following:
1.One training camp (no alternative option, this is mandatory)
2.One  among the following options:
a.1 Hackathon
b.1 training camp (a second training camp)
c. At least 60 hours of stage/internship - The company must not be the same chosen for the thesis internship
 
• Once both 1. and 2. are accomplished, the student must send  a message to datascience@i3s.uniroma1.it , provide a suitable description and documentation(*) of the activities and register to the AAF exam call on the INFOSTUD system
Since in each study plan AAF (Other Activities) can be scheduled during the second year (either semesters) registration can take place on any exam session of the second year (or later).
 
The following are considered as acceptable documentation:
i)  certificate attendance; 
ii) a letter or an-mail of the organizer/responsible of the event or activitiy carried out by the student;
ii) the event program where the name of the student appears.
 
Training Camps:

• Training Camps are made available by leading industries during the summer break.
• A training camp lasts 3 – 5 days under the direction of industrial instructors.
• Training camps present industrial solutions for big data management, machine learning, data analytics, cloud computing, ….
• You will receive an e-mail from datascience@i3s.uniroma1.it  whenever registration will be open.

Stage/Internship:
https://docs.google.com/document/d/1gxBEblADoLVrq99hlJzpSJhVvdgPkvvOsx3H_K6OaIM/edit

STUDENT HONORS
Highly qualified students who have enrolled in the second year of the Master's Degree in Data Science are eligible for the student honors program. The annual call is generally issued in December to invite submissions by a set deadline (approximately one month from the date of the call).

The call for the student honors program is competitive, as it has a limited number of positions specified in the call. The students from the School for Advanced Studies also take part in the selection, as additional places are reserved for them. The eligibility criteria are detailed in the call and are generally based on the number of credits earned during the first academic year (all due CFU need to have been acquired for eligibility) as well as the weighted average grade.

The honors program requires a commitment in the range of 100-200 hours of additional work under the supervision of a faculty of the Data Science Master's Degree, assigned to the student, also in consideration of her/his preference.
The work includes a 20-hour class at the School of Advanced Studies, a 20-hour Data Science Ph.D. course, and a research training activity on one of the subjects that the assigned faculty proposes..

For more information, see the current regulation:
https://drive.google.com/file/d/1hoGVbMuUU807CfD5HqqyMG8y9trHqicE/view