Attendance

Lessons

Lessons timetable

University academic calendar

Exam appeals

Other training activities that award credits

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

How to fill in your study plan

Graduate

La prova finale potrà essere inerente a un'attività progettuale, di ricerca, metodologica o di tirocinio presso una struttura industriale, istituzioni pubbliche di ricerca o presso i laboratori stessi dell'università. L'esame finale di laurea consiste nella presentazione e discussione di un progetto con caratteri di originalità e di una relazione supervisionata da un docente di riferimento. Il lavoro svolto dovrà dimostrare che lo studente/la studentessa ha raggiunto una padronanza delle metodologie di Data Science e/o della loro applicazione in un settore specifico a un livello di competenza in linea con le esigenze imposte dai processi di innovazione tecnologica. La prova finale sarà impostata in maniera tale da costituire una credenziale importante per l'inserimento del/la laureato/a nel tessuto lavorativo.
La prova finale si svolgerà mediante una discussione da parte del/la candidato/a dinanzi a una Commissione, la cui composizione è stabilita dagli appositi regolamenti di Ateneo. Le Commissioni giudicatrici per la prova finale esprimono la loro votazione in centodecimi e possono, all'unanimità, aggiungere la lode al massimo dei voti.

The final examination (24 CFU) consists of the discussion before a Commission, appointed by the Course Chair, of a Master's thesis, consisting of a document written in English, presenting the results of an original study conducted on a problem of an applied, experimental or research nature.
The master thesis project must involve some of the following activities: i) collection, organisation and analysis of real-world data; ii) software development for data science applications; iii) modelling and investigation of real-world data science problems; iv) data-driven innovation in business, manufacturing or services.
Students may carry out their master thesis projects either at Sapienza under the supervision of a course lecturer, or at external institutions such as companies, public bodies, public or private research institutes, foreign or Italian universities.
Master's thesis projects carried out at an external institution will be supervised both by a lecturer on the Data Science course and by an external supervisor to be appointed by the Supervisory Board.
Students will be assigned master thesis projects that can be completed in approximately 4-6 months of full-time work. The work carried out by the student must be reported in a thesis written in English that can also contain, in digital form, the software produced and the data used during the project.
The final examination involves a presentation of the project in English to a committee appointed by the Board of Studies. During the final exam, the student will illustrate the originality and importance of the results obtained in the Master's thesis and the data science methodologies mastered by him/her to achieve them.
The criteria for grading the Master's thesis are as follows:
● Basic grade = weighted average of grades obtained x 11/3
● 1 bonus point for graduating within the legal duration of the course (2 years for full-time students, 3 or more years for part-time students)
● 1 bonus point for at least three '30 cum laude' grades
● Maximum 7 points for the thesis project and final examination.
Points 6 and 7 are reserved for dissertations that contain practical results with a strong impact on industry or research results that will be reported in scientific publications.
Exam Calendar and Graduation sessions https://i3s.web.uniroma1.it/it/calendario-didattico
MASTER THESIS
There are 3 different types of thesis:
1) Internal thesis in collaboration with a professor: the student must fill out the authorization for thesis document with his/her signature and that of the thesis advisor.
2) Thesis with external collaboration (including foreign institutions): For theses that involve collaboration outside the university structure (e.g., companies, research centers and foreing institutions), the student must fill out the document indicating the name of the institution with which the collaboration is being made and the names of the external and internal thesis advisors. This form must be signed by both thesis advisors.
3) Thesis with internship: For theses conducted in companies (which involve the physical presence of the student at the host institution), it is necessary for the company to initiate  and to approve an internship procedure on  TSP Sapienza. 
The student must fill out the document with his signature and that of the advisors (internal and external), and upload the approval document from Jobsoul when the internship has been accepted. For queries regarding the latter, please refer to Prof. Paolo Di Lorenzo.

IMPORTANTE NOTICE:
To have a Master Thesis assigned, students have to fill at least 5 months before graduating the form thesis assignment google form.
Master thesis in collaboration with a company (TSP Sapienza)

STAGES/INTERNSHIPS FOR THE  AAF

  • Stages require at least  60 hours of work in one of the companies of the Industrial Liaison Program 
  • The company must have an active agreement with Sapienza for internships (tirocini@uniroma1.it)
  • Projects of stages are usually made available starting at the end of the first year
  • Stages will take place in summer or during the 3rd semester without overlaps with the classes

Contact: Prof. Paolo Di Lorenzo
Traineeships Referee
Information Engineering, Electronics and Telecommunications (DIET)
Via Eudossiana, 18 - Room 116 - First floor
Phone number: 06 44585824
paolo.dilorenzo@uniroma1.it

Path of excellence

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

 

University Language Center

Job Orientation

Il Career Service di Sapienza supporta le studentesse, gli studenti, le laureate e i laureati nella delicata fase di transizione dal percorso universitario al mondo del lavoro, fornendo diversi servizi tra i quali:
- assistenza e informazione sui servizi erogati;
- consulenze individuali di orientamento al lavoro;
- revisione del CV;
- catalogo formativo per l'orientamento al lavoro e lo sviluppo dell'employability;
- stipula accordi di partnership con le imprese per la realizzazione di iniziative di placement e orientamento al lavoro;
- selezioni riservate;
- organizzazione di eventi di recruiting e orientamento;
- organizzazione di Career Day.

L'accompagnamento al lavoro si concretizza con specifiche attività organizzate dal Career Service e/o da Facoltà e altre strutture di Ateneo o in collaborazione con aziende, enti esterni pubblici o privati ed associazioni di categoria.
Le attività di orientamento al lavoro possono consistere in seminari, workshop ed eventi tematici sull'orientamento al lavoro, sulle competenze trasversali e su career management skills (ad es. soft skills, redazione del cv, strategie per la ricerca attiva di lavoro, video curriculum, social network, Employability Lab ecc.)
Per favorire l'incontro con le aziende e gli enti, vengono organizzati Recruiting day, Career Day, Testimonial day, Presentazioni aziendali, visite aziendali, Assessment, Business Game, programmi di mentoring o altre iniziative inerenti al placement, comprensive di quelle con gli Alumni e le mentorship aziendali. Tali eventi possono essere realizzati sia online che in presenza e sono finalizzati alla ricerca dei profili più idonei per le opportunità professionali offerte dalle imprese.
Sono a disposizione di studentesse e studenti, laureate e laureati anche seminari, workshop ed eventi tematici dedicati al placement (ad es. innovazione, start-up, incubazione di impresa, focus sulle professioni, Innovation Camp, ecc.).

Studentesse e studenti, laureate e laureati hanno a disposizione la piattaforma informatica JobTeaser Sapienza per:
• creare e personalizzare il proprio CV;
• candidarsi alle opportunità di lavoro in linea con il proprio profilo curriculare;
• consultare l'elenco delle aziende e delle associazioni registrate in piattaforma per contattarli autonomamente;
• prenotarsi agli eventi di recruiting, alle presentazioni aziendali e ai Career Day in programma.

Ogni anno il Career Service organizza il Career Day di Ateneo, dedicato a studentesse e studenti, laureate e laureati di tutte le undici Facoltà della Sapienza, nonché diversi Career Day di Area tematica o di Facoltà quali ad esempio: Career Day Scienze Umane e Sociali; Career Day Scienze Economiche e Giuridiche; Career Day STEM.

I servizi, il calendario degli eventi e le opportunità dedicate a studentesse e studenti, laureate e laureati sono pubblicati sul sito di Ateneo alla seguente pagina: https://www.uniroma1.it/it/pagina/career-service-studenti-e-laureati
Il Career Service gestisce i propri canali social Facebook, X e LinkedIn su cui rilancia servizi, promuove bandi, concorsi e altre opportunità dedicate a studentesse e studenti, laureate e laureati.

Contatti: https://www.uniroma1.it/it/pagina/contatti-career-service

How to