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Statistical Methods and Applications

Sapienza University of Rome
2 years
Master's degree
Scholarships available
On campus
Inquire for more information

Program description

Statistical Methods and Applications

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 programs 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.

Admission requirements

Academic background: at least an undergraduate (Bachelor) degree with a solid foundation in Calculus, Probability and Statistics, some computing skills and basic knowledge of programming. The academic background of international students (EU and non EU) is assessed by a Prospective Student Selection Committee based on the documentation provided by the student (see below). Candidates holding a Bachelor Degree in Statistics or Actuarial Sciences are automatically accepted. Candidates possessing Bachelor Degree with at least 60 ECTS in the subject areas corresponding to the Ministerial Scientific Sectors labelled as MAT/*, INF/01 FIS/01, FIS/02, FIS/07 INGIND/ 35, ING-INF/05 M-PSI/03 SECS-S/, SECS-P/ are automatically accepted.

Minimum GPA: 65/100

Minimum English Language Requirements: Upper Intermediate (CEFR Level B2) The following test scores are accepted:

  • IELTS Academic 6.0 or higher
  • TOEFL IbT 80 or higher
  • Cambridge B2 First or higher
  • TOEIC Listening&Reading 720 or higher

Please note: the above requirements may be waived for students holding a degree from an accredited institution where English is the principle language of instruction.

For more information about admission requirements, please visit the university website.

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Program content

Data analyst

First year

  • Stochastic Processes
  • Sample Surveys

Second year

  • Advanced economic statistics
  • Advances in data analysis and statistical modelling
  • Spatial Statistics and Statistical Tools for Environmental Data

Quantitative economics

First year

  • Quantitative Economics
  • Stochastic Processes
  • Sample surveys
  • Efficiency and Productivity Analysis
  • Financial econometrics

Second year

  • Advanced economic statistics
  • Final exam

Scholarships & funding

Several scholarship options are available. Please check the university website for more information.

Tuition fees

The tuition fee for this program is €1000 per year. 


Learning Outcomes

The degree programs aims to train professional figures who can manage the process of data collection, modelling and analysis to examine complex phenomena and to provide support to decision processes in institutions, companies, private and public research institutes.

Specific learning outcomes are as follows:

  • A sound basic knowledge of theory and applications of aleatory phenomena;\
  • Knowledge of principles and methods of data collection, properly planned and with adequate quality control;
  • Knowledge of the most common and specific models for a variety of contexts of application
  • Ability to work autonomously or in a team to solve application problems;
  • Written and oral communication skills in English, particularly in relation to specialised terminology
  • A sound basic knowledge allowing a constant update;
  • An adequate knowledge to have access to national and international PhD programss in core disciplines.

Career opportunities

Graduates with the data analyst profile can work mainly in large public and private companies managing complex and big data, such as multinationals operating in ICT (information and communication technology), energy, search engines, market research companies, consulting firms and research institutes.

The Masters degree allows graduates to have access to PhD programss relating to core courses.

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About this institute

Sapienza University of Rome

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Contact info

Sapienza University of Rome

Piazzale Aldo Moro, 5
00185 Rome

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