SMA - Statistical Methods and Applications

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NEWS#01: 2024 Scientific traineeship at JRC (European Commission Joint Research Center) [deadline 21 May 2024!]

NEWS#01: Double Degree applications & financial support :: open call - deadline Wed, 10 Apr

NEWS#02: Mobility grants for traineeship :: Erasmus+ Traineeship call 2024/2025

NEWS#03: Meeting with ENSAI representatives for Double Degree applications :: Tue, 27 Feb

NEWS#04: DSS connects students with the corporate world

NEWS#05: EMOS webinars 2023-2024: Wed, 14 Feb :: Peter Lugtig on "Smart surveys"

NEWS#06: 2023-2024 Welcome Meeting #01 and #02!


SMA - Statistical Methods and Applications - is the acronym of the brand-new two-year Master of Science (corresponding to the Italian Laurea Magistrale degree) entirely taught in English and delivered by the Department of Statistical Science (DSS). DSS is the largest Department of Statistics in Italy and its faculty members enjoy international reputation in teaching and research. DSS hosts one of the most powerful computing resources at Sapienza University of Rome. The Master programme is entirely held in English. It provides students with specific statistical skills through a suitable mix of advanced data modelling methodologies and hand-on professional training to address complex scientific and socio-economic problems.

Students are prepared to handle the overall data management process: planning, collection, analysis, interpretation, decision making. Specific attention is devoted to methods for Big Data Analysis and their applications to relevant domains with a specific emphasis on economic phenomena. Starting from a common base of Statistics, Probability and Computing, the Master programme aims at delivering a solid and highly marketable statistical and quantitative training in the interpretation of real-world phenomena and support of decision-making.

Students can choose one of the following study plans:

  • Official Statistics [OS] - EMOS labelEMOS logo 
  • Quantitative Economics [QE
  • Data Analyst [DA]

All these three study plans (curricula) prepare professionals for careers in consulting companies, industry and State agencies as well as candidates for PhD programmes in Statistics, Data Science, Quantitative Economics and Econometrics.

(**) Credits and Acknowledgemet - The plots are downloaded form the R Graph Gallery <>. Creators of the logos are: Conor Healy: <> and Yan Holtz.

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