Course taught in English

The ability to analyse and interpret data is crucial for companies, even small and medium-sized ones, that want to remain competitive in a rapidly changing market. Businesses have realised that the study and analysis of data enables them to discover new trends in advance, to control the dynamics of the system of production and distribution of goods and services and to make data-driven decisions.

The course offers participants the opportunity to acquire knowledge and skills in the analysis of economic-business problems through the use of big-data processing methodologies.

The specialisation proposes the study of further mathematical-statistical models and their application in Marketing and Finance, in order to enhance strategic decision-making skills using information that can be extracted from large data collections and applying the main quantitative models.. The ability to analyse and interpret data will be honed through the use of computer tools and statistical learning, while addressing case studies and business experiences of data-driven decision-making.

Objectives

• Refine interdisciplinary preparation in the field of economics and business in order to develop strategies for problem solving both through the use of recent methodological approaches for data analysis and through critical analysis of the business and economic implications of the results obtained.
• Deepen interdisciplinary quantitative and managerial training through the study of advanced data analysis and decision support models and their application to business management cases.
• Acquire skills and methodological tools for the management and analysis of complex data to be used as decision support, investment and financial asset management.
• Develop adequate knowledge, techniques and methodologies for data analysis in marketing, useful for obtaining valuable information on customers and the effectiveness of campaigns.

Didactics

Lessons include applications, case study analyses and testimonials from companies related to the world of Data Analytics. The teaching methods emphasise the application, also using specific software, of the skills acquired in the course and the development of problem-solving skills. The presentation of statistical/mathematical models and tools is aimed at developing an understanding of the tool’s potential and possible criticalities. The language of instruction is English. The course is part of the University’s active exchange programme offer. By accepting incoming students the course acquires an important international connotation and offers the possibility of a fruitful confrontation with students with a different educational background and complementary skills to those of the B.A.M. Pathway students. The possibility of spending a study period abroad completes the international character that inspires the entire training course.

The course consists of four modules:

• Financial Investment & Pricing
• Statistical learning 4 Business
• Games & Decisions
• Marketing Analytics

Job Profiles

The specific teachings of the course complete the preparation of the professional figure of the junior “data-savvy manager“, who is able to combine the classical skills of business management with the interpretation of data in order to understand and anticipate market dynamics and orient business choices and decisions from a data-driven perspective. Given the interdisciplinary and transversal nature of the skills acquired, graduates will have a variety of job opportunities: in medium and large-sized companies operating in both industry and services, in research centres, in public administrations, actively contributing to development and innovation in governance processes.