Data Science

The final examination may be related to a project, research, methodological or internship activity at an industrial structure, public research institutions or at the university's own laboratories. The final examination consists of the presentation and discussion of a project with original features and a written report supervised by a lecturer. The work carried out must demonstrate that the student has achieved a mastery of Data Science methodologies and/or their application in a specific sector at a level of competence in line with the requirements imposed by technological innovation processes. The final examination will be set up in such a way as to constitute an important credential for the graduate's entry into the working environment.
The final examination will be conducted by means of a discussion by the candidate before a Commission, the composition of which is established by the appropriate University regulations. The Boards of Examiners for the final examination express their mark in 100ths and may, by unanimous decision, add honours to the maximum mark.

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)

• Internships for Master Thesis require at least 600 hours in a company that has an active agreement with Sapienza for internships (tirocini@uniroma1.it)
• Students can directly contact the companies reference persons (if you cannot find the contacts there, please refer to: prof.ssa Cuomo - francesca.cuomo@uniroma1.it; and cc to: datascience@i3s.uniroma1.it)
• The topic of the Master thesis must be agreed upon by the industry and by the internal supervisor before beginning of the work.
• The formal procedure for stage assignment is managed on https://uniroma1.tsp.esse3.cineca.it/pub/main-page
• Once the stage/thesis is over students must complete a final report, signed by the company responsible, and send it to datascience@i3s.uniroma1.it

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

• The list of the companies and an overview Table of the opportunities offered can be found in the ILP page. 
• Students can directly contact the companies’ reference persons (if you cannot find the contacts there, please refer to: datascience@i3s.uniroma1.it)
• The formal procedure for stage assignment is managed on https://uniroma1.tsp.esse3.cineca.it/pub/main-page
• Once the stage is over students must complete a final report, signed by the company responsible, and send it to datascience@i3s.uniroma1.it

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

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