Improvement Course in Actuarial Science and Techniques – 1st Edition

The Improvement Course in Actuarial Science and Techniques, 1st edition, is an advanced training course, not a master, of the Department of Business and Quantitative Studies of the University of Naples Parthenope. It includes 128 hours of teaching organised in modules on probability, statistics, actuarial mathematics, insurance techniques, machine learning, insurance law and professionalism. The profession of actuary requires solid preparation in probability, statistics and actuarial mathematics, together with knowledge of insurance techniques and law. The course brings these areas together in 128 hours and adds machine learning, which is entering the work of insurance companies.

The course lasts four months and is worth 16 credits. It takes place online on a telematic platform, with the possibility of attending in Naples. The cost is €1,600. Minimum attendance of 60% and passing a final test are required. The language is presumed to be Italian. The start date is not stated and the page does not highlight internships. The online format on a telematic platform, with the possibility of attending in Naples, is convenient for those who work. Minimum attendance of 60% and passing a final test are required. Since it is an improvement course, not a master, it must be checked how the 16 credits can be recognised in other pathways.

The aim is to provide the skills for access to the profession of actuary, develop operational abilities in risk management and prepare for the State exam for qualification. The career opportunities are insurance companies, consulting firms, social security bodies and technical actuarial roles. The aim is to give the skills to access the profession, develop operational abilities in risk management and prepare for the State exam. The career opportunities are insurance companies, consulting firms, social security bodies and technical roles. Access is open to graduates with at least a bachelor's degree in Statistics, Mathematics, Economics, Physics, Computer Science or Finance. Before applying it is advisable to compare this information with that published on the university's official website, which may be more up to date than the page. It is also advisable to contact the department's teaching office to clarify any doubts about attendance, lesson calendar, assessment methods and organisation of the final exam. Those who work should carefully assess the commitment required, in terms of weekly hours and attendance, to understand whether the programme is compatible with other professional or personal commitments. It may also be useful to ask whether information sessions or orientation days are held, in which lecturers present the course and answer candidates' questions.