The curriculum is designed to provide theoretical knowledge and the ability to apply it to real problems. The training provides the core tools of mathematics, statistics and data processing. The characterizing activities will provide an insight into mathematical issues in relation to financial and actuarial objectives, statistical issues for application in business contexts (design and implementation of sample surveys, market analysis, forecasting, quality control) and data processing and treatment. 

Graduates will acquire the skills and competences needed to: 

• plan the collection and statistical analysis of large databases in order to extract the necessary information, both transversally and over time; 

• work with the most commonly used statistical methodological tools; 

• build a clear and in-depth picture of probabilities for the assessment and solution of problems under conditions of uncertainty; 

• operate with the basic elements of financial mathematics to accurately predict financial risk, evaluate financial and insurance contracts and apply the main actuarial techniques. 

Students will acquire this knowledge and these skills by attending lectures and with the support of the recommended texts and teaching materials provided by the lecturer. Students will be assessed informally by the lecturer through the active participation of students in lectures and formally through exams covering the topics covered in the lectures (and possibly exercises and workshops). 

The final report, which completes the training process, is an additional tool for developing knowledge and understanding. 

The graduate’s training focusses, on the one hand, on knowledge of the statistical and mathematical techniques and methodologies already mentioned but, at the same time, on the skills necessary to apply these techniques to practical work cases. To this end, the training process involves continuous reference to case studies in order to acquire the ability to discern, from the wide range of tools at their disposal, those most suitable for the application under study. 

At the same time, therefore, they will also be able to analyse aspects that are not exclusively quantitative, such as legal and business aspects, in order to best apply their methodological knowledge and skills in the workplace. 

The achievement of learning outcomes is mainly assessed through exams, papers required in some training activities and a final exam. An additional opportunity to apply the knowledge acquired is, for students who choose it, an internship in companies and organisations.