The final examination may be based on a project, research, methodological activity, or internship carried out within an industrial setting, a public research institution, or one of the university’s laboratories.
The final exam consists of the presentation and discussion of an original project accompanied by a written dissertation supervised by a faculty advisor. The work must demonstrate that the student has achieved mastery of Data Science methodologies and/or their application within a specific domain, at a level of competence consistent with the demands of technological innovation processes.
The final examination is designed to serve as a significant credential for the graduate’s entry into the professional world.
The examination takes the form of an oral defense before an Examination Committee, whose composition is defined by university regulations. The committee assigns a final grade out of 110 points and may unanimously award honors (“cum laude”) to candidates receiving the highest score.
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
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