Fall semester 2020-2021: class start Monday, October 5th
Due to the delayed start of the semester all professors have organized extra classes in order to recover their hours. Please check their notice board for communications.
Online welcome meeting for first-year students: Thursday 1 October 2020 - 16:30 :: http://datascience.i3s.uniroma1.it/it/2020-2021-welcome
More info: http://datascience.i3s.uniroma1.it/it
A study programme can have more curricula to choose from. Students choose their curriculum when they draft their learning path on Infostud.
Each academic programme has its own deadlines for the drafting of learning paths.
For information about the contents of each curricula developed for your study programme, please check the Study Plan box.
At the end of your university studies, Sapienza provides a certificate containing the main information about the student’s curriculum, in addition to the degree.
First year (Year of enrolment 2020/2021)
Second year (Year of enrolment 2019/2020)
|DATA PRIVACY AND SECURITY||1047214||First semester||6||INF/01|
|SIGNAL PROCESSING FOR BIG DATA||1047202||First semester||6||ING-INF/03|
|Computational Data Analysis||10589623||First semester||6||ING-INF/05|
|Advanced Machine Learning||10589621||First semester||6||INF/01|
|OPTIMIZATION METHODS FOR MACHINE LEARNING||1041415||First semester||6||MAT/09|
|Big Data for Official Statistics||1056085||First semester||6||SECS-S/05|
|Neural Networks for Data Science Applications||10589627||First semester||6||ING-IND/31|
|Bioinformatics and Network Medicine||10593052||First semester||6||ING-INF/06|
|Digital Epidemiology and Precision Medicine||10593053||First semester||6||ING-INF/06|
|A SCELTA DELLO STUDENTE||First semester||6|
|EARTH OBSERVATION DATA ANALYSIS||1047218||Second semester||6||ING-INF/02|
|Data Driven Economics||1056129||Second semester||6||SECS-P/02|
|EFFICIENCY AND PRODUCTIVITY ANALYSIS||1047222||Second semester||6||SECS-S/03|
|Geomatics and Geoinformation||10589730||Second semester||6||ICAR/06|
|Smart Environments||1056023||Second semester||6||ING-INF/03|
|STATISTICS FOR STOCHASTIC PROCESSES||1056087||Second semester||6||SECS-S/01|
|OTHER USEFUL SKILLS FOR INCLUSION IN THE WORLD OF WORK||AAF1149||Second semester||3|
|Final exam||AAF1022||Second semester||24|
Highly qualified students who have enrolled to the second year of the M.Sc. in Data Science are eligible for the student honors program. Annual call is usually issued in December.
For the present academic year the official call for application is available here.
The submission deadline and the publication date of the results are specified in the call. Upon competitive criteria as detailed in the call (number of credits earned during the first academic year, weighted average grade), a limited number of students are selected and admitted to the Data Science student honors program. Selected students will be assigned to a tutor who will plan scientific and educational activities in addition to those being part of the regular course of study. These activities, for a maximum of 100 hours per year, may include participation to PhD seminars or to summer/winter schools, extra project work in the framework of a national or European research project or an internship with an industrial partner. In any case the activities must be assigned and approved by the tutor.
In order to successfully complete the honors program, students must conclude the additional planned scientific and educational activities in time and, by the end of their second year, the must earn all the credits prescribed for the regular course of study with a weighted average grade on exams larger or equal than twenty-seven (out of thirty). For those who enrolled as first-year students in a.y. 2018/2019 this means that they must be graduating by the end of January 2021. The Honours Program regulations can be found here.