Statistics for Data Analysis
- Lubiana (SI)
- Monaco di Baviera (DE)
- Rennes (FR)
- Valladolid (ES)
What is the objective of the course? What is it?
What does it train you for?
What does it train you for?
The Bachelor Degree Course in Statistics for Data Analysis (Statistica per l’Analisi dei Dati – STAD - 3 year course) is not only addressed to students who have a scientific or technical high school background, although it is tailored for students who are inclined to practice mathematical thinking. The Course is planned to guide students in their training process to enable them to fully acquire the skills and abilities useful to work as a Statistician (Data Analyst) with some degree of autonomy and responsibility, and especially to be competitive in the labour market, which is increasingly open and willing to accepting graduates in Statistics. An ad hoc tutoring service will afford students a smooth access to the university environment thanks to qualified teachers and staff who pay great attention to students' needs and maturity. Although there is some focus on the theoretical framework, the Degree Course is mostly devoted to practical aspects, also through the possibility of carrying out internships and experiences abroad. The aim is to train Data Analysts who have the knowledge and skills at an appropriate level to design and carry out analyses useful for understanding the phenomena surrounding them. STAD, therefore, prepares graduates to be qualified Statisticians able to collect, manage, produce, and disseminate information flows with the awareness and rigor of the scientific approach.
What do you learn?
The Course plan is designed to allow students to progress in their studies naturally and smoothly. They are trained gradually, according to a sequential thread of courses that follow one another over time, expanding on and developing the previous ones. The first year is devoted to the solid foundations of a Statistician/Data Analyst: Mathematics, Probability, IT skills, together with the statistical approach to observation, classification, and synthesis (including graphical synthesis) of information. An English language course and some courses in the economic field are included. The main aim of the second year is to study the topics addressed in the first year in more depth, strengthen the knowledge of mathematical and data management, increase the fundamental understanding of Statistics, focus on the analysis of possible relationships among phenomena, and expand the students’ foundations of demography and statistics applied to economics. The third year concludes the basic statistical knowledge, both theoretical and applied to the economic and health fields. In addition, students can personalize their own Study Program during the second and third year. Students can choose some subjects from optional pre-defined subject groups and are free to include some subjects of the University if they are in line with STAD topics. Moreover, together with the Degree certificate, the student acquires certification as a Programmer in SAS, a statistical software very often required by large companies.
What can you do with it?
The professional profile of the graduate in Statistics for Data Analysis can be identified as that of a Data Analyst (or Junior Data Scientist) who combines IT skills, aimed at building and managing databases, with statistical skills for the description, analysis, and interpretation of economic, social and health data. In addition, STAD graduates will be able to write a statistical report and to prepare a presentation on the phenomena studied. Job placements may refer to all positions requiring expertise in the production, processing, management, and interpretation of data, typically economic, business, social, and health data. STAD graduates will be able to work as statistical technicians in public administrations, companies operating in the biomedical and epidemiological sectors, and in statistical units of medium-large companies, marketing offices, information system management companies, statistical consulting agencies providing external support to companies, and in research organizations. The skills and knowledge acquired by the graduate in the Degree Course are preparatory for continuing their studies in the Master Degree Course in Statistics and Data Science. They also allow students to obtain a Joint Degree with the Universida de do Minho (Portugal) and the certification (in an Open Badge form) in Data Science issued by the University of Palermo.