Statistics and Data Science
- France
- Germany
- Poland
- Spain
- Usa
- Spain
What is the objective of the course? What is it?
What does it train you for?
What does it train you for?
The Bachelor's Degree in Statistics and Data Science is the three-year course of study in statistical disciplines.
Statistical methods are transversal to any other discipline and they are the engine of the most recent innovations and applications.
Statistics uses mathematical tools but it is not addressed solely at students with scientific or technical skills; in particular, the Course has a strong applied characterization that allows statistical methods to be declined in the economic, financial, health, biostatistical, environmental, computational context, with great attention to the IT tool and specific software for the management of big data and databases.
The Course accompanies the student in this process by providing knowledge and abilities to be a Statistician Data Analyst able to operate with autonomy and responsibility in full harmony with the needs of the labor market, within which the profession of statistician will be increasingly in demand, as underlined by many experts.
The optimal balance between the number of students and professors allows great attention to the needs of students also about resources and classrooms.
Finally, the Course, thanks to the numerous national and international contacts, allows for training and experiences (also) abroad with the aim to obtain graduates with expertise in data collection, management and analysis through the use of advanced and modern statistical methods.
What do you learn?
The graduate in Statistics and Data Science is trained in the different subjects gradually.
The first year is dedicated to the foundations of a Statistician/Data Analyst: mathematics, probability, informatics, statistical methods for observation, classification and synthesis, including graphical representation of data.
The English language and some applied courses in the economic and health fields provide the general framework.
The second year is aimed at deepening the topics by strengthening the mathematical knowledge, informatics and statistical techniques expanding the basis of Statistics and the relationships between phenomena with specific focus on demography and statistics applied to economic and social topics.
The third year strengthens the statistical competence both from a theoretical and applied point of view.
It is also possible a partial modification of the study plan with a choice among optional subjects taught by the Course and by the University.
Also, the student acquires the Certification (Open Badge) as a SAS Programmer, a specialized statistical software used in large companies and institutions; similarly, great attention is paid to other software such as R and Python.
What can you do with it?
The competence of the graduate in Statistics and Data Science is summarized in Data Analyst or Junior Data Scientist: it combines IT skills for the construction and management of databases and statistical skills related to the description, analysis, interpretation and modeling of economic, social, medical, environmental data also in forecasting terms.
The graduate will be able to prepare statistical reports and presentations on topics and application areas.
The professional opportunities concern all activities in which expertise is required in the production, processing, management and interpretation of data in all application areas without neglecting statistical programming.
The graduate will be able to cover the role of technician and statistical analyst in the private and public sectors in various fields (economic, banking, financial, biomedical, epidemiological, environmental, etc.), in small and large companies, in marketing offices, in IT companies, in statistical consultancy companies, in research institutions.
Finally, the skills acquired during the Course will allow the continuation of studies towards the Master's Degree in Statistics and Data Science (LM82-LMDATA), and this will allow the acquisition of the double degree with the University of Valencia in addition to the Open Badge in Data Science offered by the University of Palermo.