A new 2-year international track in Business Analytics will be activated in a.y. 2021/22. The new international Master’s in Business Analytics aims to prepare students from a variety of backgrounds for a career as business analysts in modern private and public organizations.
The Master’s is designed for students with a strong propensity for computational and statistical sciences as well as a strong interest in working with data. The programme provides students with specialist knowledge of methods and IT tools for Data Science and Business Statistics to devise and manage methods that provide decision-makers with summary information. Students will develop technical skills such as software development and advanced statistical analysis, in order to be able to lead business initiatives based on data analysis. They will also learn a variety of models to understand, discover and predict the phenomena of interest, in order to define the most effective strategies to increase the competitive advantage and the performance of private or public companies.
Career opportunities
Business analysts are required in any functional area within industrial and service companies in the public or private sector, especially consumer goods manufacturing firms, large retailers, consulting firms and public utilities companies.
Moreover, business analysts are recruited both by research centres within national and international institutions, tech companies and data-savvy companies operating in a wide range of industries that include social media, finance, insurance, consulting and public utilities.
The programme also provides the necessary background for successfully undertaking a PhD in any of the following fields: Statistics, Computer Science, Business and Management.
See the Business Analytics website
The 2nd cycledegree programme in Statistics, Economics and Business combines statisticalmethodology with economic and business studies, with more in-depth study ofquantitative marketing and methods of economic analysis. The programme is dividedinto three separate curricula.
The programme firstly provides for theconsolidation of a solid methodological basis, aimed at the advanced use ofquantitative methods, during the first year. Core subjects in the areas ofapplied mathematics, statistics and applied statistics are therefore present inthe first year in all three curricula to provide the methodological basis forthe study of economic and business phenomena. Knowledge is furthered in thesecond year, with lectures specific to the objectives of the three distinctcurricula, on advanced methodology and applied statistics, for the acquisitionof the practical skills necessary for carrying out surveys, analysing data fromdifferent types of data sources and analyses aimed at different objectives inthe economic-business context. Supplementary course units complete thestudent's preparation.
In detail, the curriculum provides the statistical and methodological toolsneeded for decision-making in the field of marketing processes and analysis,with emphasis on the business world. Specific reference is made to thosesectors with broad and dynamic databases concerning the consumption patterns oftheir own customers.
A second curriculum places the accent on statistical analysis of economicphenomena and processes, as well as the design and coordination of economicanalyses. It prepares graduates for high-ranking jobs in the fields ofaggregated, local, time-related and individual economic and quantitativeanalyses, the evaluation of economic and business policies, the analysis ofcompetitive performance and productivity in countries and businesses,inequality and poverty.
The third curriculum provides the methodological knowledge and IT tools used inthe field of Data Science and Business Statistics to obtain summary informationuseful for business decision makers. It prepares students to hold high-levelroles in public and private companies and consultancy firms, providing advancedtraining to meet the information needs of companies through the analysis ofdifferent types of data.
The free credits allow greater customisation of the programme, recognising theresults achieved by the students, also with a view to entering the world ofwork.
The programme is structured according to the latest teaching practices,combining periods of theoretical study with practical applications to thebusiness and economic world, with a particular emphasis on the use of specificsoftware. The learning process may be completed by a curricular internship thatenables the knowledge acquired to be put into practice.
Admission to the second cycle degree/twoyear master in Statistics, Economics and Business requires possession of abachelor's degree or three-year university diploma, or any other degreeobtained abroad, recognised as suitable.
Additionally, candidates must meet thefollowing curricular requirements:
a 1st cycle degree in one of the followingclasses, or other suitable qualification obtained abroad:
· L-41 Statistics (pursuant toD.M. 270/04)
· 37 Statistical Sciences(pursuant to D.M. 509/99)
Alternatively, a degree belonging to aclass other than those indicated or an equivalent qualification also obtainedabroad, and have acquired university credits in the following subject groups:
- at least 16 credits in one or more of thefollowing subject groups
· PROBABILITY AND STATISTICS:SUBJECT GROUPS SECS-S/01, SECS-S/02, SECS/03, SECS-S/05, MAT/06
· MATHEMATICS: SUBJECT GROUPSSECS-S/06, MAT/02, MAT/03, MAT/05, MAT/07, MAT/08, MAT/09
- at least 8 credits in one or more of thefollowing subject groups:
· ▪PROBABILITY AND STATISTICS: SUBJECT GROUPS SECS-S/01, SECS-S/02,SECS/03, SECS-S/05, MAT/06
- at least 6 credits in one or more of thefollowing subject groups:
· ECONOMICS: SUBJECT GROUPSSECS-P/01, SECS- P/02, SECS- P/03, SECS- P/05, SECS- P/06
· ECONOMICS AND BUSINESSMANAGEMENT: SUBJECT GROUPS SECS- P/07, SECS- P/08, SECS- P/09
It is also necessary to have passed an assessmentof personal competences and skills.
To be able to profitably complete the2ndcycle degree programme in Statistics, Economics and Business, candidatesmust also have university-level knowledge of:
- mathematics(the fundamentals of institutions of mathematical analysis, matrix algebra);
- calculationof probability (fundamental theorems and axioms of calculating probability);
- statistics(fundamentals of descriptive statistics, fundamentals of statistical inference,linear models, data matrices and derivative matrices, notions of samplingtechniques, multivariate statistics);
- economics(fundamentals of microeconomics);
- economicsand business management (fundamentals of business management and marketing).
Personal competencies and skills areassessed in the methods defined in the degree programme teaching regulations.
Access to curricula delivered in Italianalso require English language skills to CEFR level B1.
Access to curriculum delivered in Englishalso require English language skills to CEFR level B2. Knowledge of Englishlanguage to level B2 must be possessed at the application stage.