Internships
Internships aim at supplementing the in-class training with a relevant hands-on experience.
SMA students are warmly encouraged to seek and apply for an internship with companies/research institutes/renowned organizations working with statistical analyses, possibly related to specific fields within the available study plans such as official statistics and quantitative economics.
For students in the Official Statistics track a 9-credit internship is mandatory. Please, see an overview of some of the available current opportunities here. If you are an enrolled student, you can refer to the code AAF1179 ("Per stages e tirocini presso imprese, enti pubblici o privati, ordini professionale") in your Study Plan.
For students in the other tracks (Data Analyst/Quantitative Economics), you can have an internship recognized as 3-credit or 6-credit unit depending on the amount of hours. The minimum number of hours for 6-credit internships is 150. The minimum number of hours for 3-credit internships is 75. Note that, in order to have the internship recognized, students should include in their study plan either the 3-credit unit labelled as AAF1149 ("Altre conoscenze utili per l'inserimento nel mondo del lavoro") or 6-credit unit labelled as AAF1152 ("Altre conoscenze utili per l'inserimento nel mondo del lavoro").
The Department of Statistical Sciences (DSS) at Sapienza University organizes an annual one-day event aimed at fostering internships and opportunities for our graduate students to write their master theses while cooperating with external organizations. DSS has organized the first edition of the Internship Day, on March 30th, 2023. You can find out more at the following page: https://www.dss.uniroma1.it/en/didattica/internships. The next meeting will be scheduled soon. If you need more info on this event, please contact internship.dss@uniroma1.it.
Students can find another source for seeking internships on the Jobsoul platform.
If you are a Company/Organization and you are offering an internship opportunity for international student candidates at Master's level with skills in data analysis/data science, statistical modelling, official statistics or quantitative economics, please send an email to sma-dss@uniroma1.it and internship.dss@uniroma1.it. Other details on how to formalize and activate internships with our students can be found here.