Fields of Study

In a few words, a student in a Management program will learn:

• How a company or organization is run: the importance of each function, the main roles, the organization processes
• How a company or organization competes in its markets: who its competitors are, what the peculiarities of its industry are and which strategy is the best to adopt
• How to organize human and financial resources in order to provide useful products or services, creating additional value (both human and financial)
  
  
  
  

And after graduation?

Graduates from a study path in Management will be able to work as analysts, managers, consultants and entrepreneurs in manufacturing or service companies, in banks and financial institutions, in consultancy firms, in public and nonprofit organizations, and in cultural, sports, communication and artistic companies. Essentially, everywhere.

As increasingly requested by the job market, the digital economy is a new field of study, straddling management, economics and computer science. Its aim is to interpret data through the lens of economic models in order to help companies take decisions to gain competitive advantages.

Studying Finance means gaining understanding of what the financial system is, and focusing on the main actors that operate within it. That means you’ll learn:

• How the financial markets work (including the stock exchange and central banks)
• What the main financial intermediaries are (such as banks and insurance companies), what they do and how they operate
• What financial instruments are (stocks, bonds, derivatives, etc.) and what they are used for
• How companies manage their money, how they invest it and how they borrow it: corporate finance
  
  
  
  

And after graduation?

A career in the field of Finance – after a BSc or an MSc program – typically means working in a bank, a financial institution, a consultancy firm, a financial authority, a fund or companies of other kinds within the financial/administrative realm.

There are many definitions of “economics”. Whatever meaning you prefer, Economics is first and foremost a social science that studies economic relationships and social interactions among individuals, families, companies, banks and governments. You’ll learn how to interpret economic phenomena prevailing in modern economies, for instance:

• What are the pros and cons of globalization
• What are the problems afflicting the labor market and how to solve them
• What are the policies that can promote growth in poor and developing countries
• What is the role of central banks for economic growth and what instruments they can use
  
  
  
  

And after graduation?

You won’t learn what to think but how to think, through rigorous analytical and logical methods (using math, statistics and econometrics). Learning to reason in a disciplined way will be very important whatever career you choose.

Our graduates in Economics generally find work in multinational companies, in international organizations or in the financial sector; sometimes they decide to continue their studies and pursue academic careers at universities all over the world.

Data science is a new and fast growing scientific discipline. We are on the verge of the data driven economy. Thanks to increased connectivity and growing digitalization, humanity is generating quantities of data unprecedented in history and this is bringing a revolution in all sectors of our life, of which we are now only seeing the initial phases.

Data science at Bocconi is a major intellectual discipline across economic, physical and statistical sciences that relies on the methods of artificial intelligence, computer science, mathematics, and statistics, as well as on the rigorous thinking of economic and physical modelling. The data science field will allow you to learn:

• How to form your analytical preparation through basic and advanced courses in mathematics
• How to grow your computer science knowledge with courses in computer programming, algorithms and machine learning
• How to acquire systematic thinking in the statistical modelling and
  interpretation of data through basic and advanced courses in probability theory and statistical science
• How to cultivate your economic modelling through the logical rigor of courses such as game theory and mechanism design
• How to appreciate the fundamental
  role of data science in the solution of social, industrial and technology problems with courses in the marketing and management sciences
  
  
  
  

And after graduation?
Nowadays, demand for jobs in the data science sector outstrip supplies. Professional figures that merge computational and statistical skills with rigorous economic and management thinking are highly sought in the market by private firms in all sectors and by public institutions as well. On the other hand, some students will pursue the intellectual side of data science and decide to continue their studies to start academic careers.

We aim to meet the increasing need for professional, research and academic profiles mastering sophisticated mathematical, computing, and modelling methods, who at the same time understand modern Artificial Intelligence algorithms.
Natural and social sciences are, indeed, experiencing new fundamental challenges, also because new technologies are generating large amounts of data. At the same time, mastering current and future AI requires a vast body of knowledge. Our scope is to provide you with the essential methodological background to successfully address all these challenges, within a rigorous multidisciplinary framework.

Maths for AI will allow you to learn:

• the contents and rigorous methods of Mathematics
• the computational thinking and programming abilities of
  Computer Science
• the modelling, mathematical and algorithmic techniques of natural sciences (Physics) and social sciences (Economics)
• the main modern tools and principles of Machine Learning and Data Science

You will also understand the mutual relations of the above subjects and will be able to apply their methods and tools to the key problems that have to be faced in the new digital era.

And after graduation?
After this BSc program, most students will continue their studies with a graduate program. This program is, indeed, an appropriate choice if you would like to complete it with an MSc program focused on Artificial Intelligence, Applied Mathematics, Computer Science, Data Science, Physics, Economics, Finance, and Management, in Italy or abroad.
You may also access the job market, typically with a junior professional profile as an expert in mathematical,
computational, modelling and AI methods. You will mainly work on teams, creatively using mathematical, computational, modelling and AI methods for the understanding and modelling of complex realities in applied sciences as well as in economics and in other fields of social sciences, such as accounting, finance, management and marketing.

What is Political Science, precisely? It’s a social science aimed at understanding and explaining public policies, bringing together a range of topics such as social and economic policies, government and decision-making, political economics, international relations, and politics in general. Political Science at Bocconi involves a mix of disciplines ranging from sociology to history, law and economics, through which you will learn:

• How to design economically efficient, politically sustainable public policies
• How to implement them effectively
• How to evaluate them using methods and analysis techniques
  
  
  
  

And after graduation?

Your study path will prepare you for jobs in international organizations and private firms that habitually deal with the public sector and in particular with policy-making matters.