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Luiss Guido Carli


Management and Computer Science

Digitalization and subsequent development in the fields of artificial intelligence, robotics, applications and IT infrastructures represent an important change that permeates all other fields. Both large and small companies, public administration, government institutions and professionals are interested in producing and using data for a variety of purposes, from improving production processes to defining new models to generate value. Digital transformation thus challenges us to rethink traditional managerial logic and use evidence-based approaches.

It requires a new leading class to embrace the opportunities offered by new technologies and the market to create organizational change and to guarantee a control of business for new institutional assets.
The bachelor’s degree program in Management and Computer Science stands out from other courses offered by LUISS University in Economics, Business and Finance for the significant presence of technical and engineering topics, focused on computing and business analytics. These skills are also integrated with traditional foundation courses in Economics, Business Management, Law and Statistics.

Class: L-18 Scienze dell'economia e della gestione aziendale (Economics)


The core of the program focuses on collecting, processing and analyzing data in order to generate new knowledge to improve processes for large and small companies as well as for startups. To develop these skills, students are given solid preparation on algorithms and coding starting in their first year, as well as database management and advanced analysis techniques. In their third year, students focus on data science applications such as cybersecurity, innovation and entrepreneurship.

The program is designed for high school graduates interested in engineering-based programs (electronics, information technology, management), statistics, mathematics and computer science. The course prepares students for roles as data scientists or to go on to master’s programs in Marketing, Operations and Finance.
The program is offered entirely in English and the university is currently developing exchange programs with several foreign universities. Through these partnerships, participants will be able to spend their final year abroad, creating a multicultural experience thanks also in part to the presence of foreign instructors and students.

The bachelor's degree program in Management and Computer Science combines economics, management and law courses – essential to critically analyze and understand the context companies and institutions operate in – with a strong focus on quantitative methods, in particular statistics, information technology and information processing.

Employment and professional opportunities for graduates

Graduates are equipped to work for economic and financial institutions as well as businesses and public administration in positions commensurate with their three-year preparation.

Admission procedure

Get information about taking the admission test and on the admission procedure for international students.


LUISSMatics, organized by the new LUISS bachelor’s degree program in Management and Computer Science, is an online programming competition, consisting in 4 problems to be solved in 5 hours, which will be counted starting from when a participant connects to the server of the competition. It is therefore possible to choose the five hours that are more compatible with one’s duties!

The problems are similar to those of the regional selection for the Olimpiadi di Informatica.

For questions please contact the organizers of the competition: Prof. Giuseppe F. Italiano e Prof. Luigi Laura.

More information (in Italian)

Required Courses


I year – 2019-2020

I semester

Course SSD Credits
Fundamentals of Management SECS-P/08 8
This course will introduce students to management theories and frameworks. The course starts with an introduction to organizations and the role of managers. Then it presents key management theories about organizations and their environment, and how to create a fit between them. Finally, the course discusses models and frameworks to address the four managerial functions: i.e., planning and decision making; organizing, communicating and human resources; leading, motivating and understanding groups; controlling and managing innovation.
Introduction to Computer Programming ING-INF/05 6
This course will introduce the foundations of computer programming and of data structures. Students will practice computer programming using Python and will also gain familiarity with some other languages, such as HTML (HyperText Markup Language), which is used to create web pages, and JavaScript, which is used to create dynamic applications that run in a web browser. Students will learn how to perform numerical computations, process and transform text, draw graphics and animations, and build dynamic, interactive web sites.
Performance Measurements SECS-P/07 8
This course will introduce Economics and management as a social science. What is a firm and how the firm interacts with stakeholders and shareholders. Then we focus on corporate governance and how to balance the interests of multiple stakeholders. The second part of the course introduces the role of financial information. First, we focus on the role of financial information for external purposes. Financial reporting and user decisions. Sources and resources. Balance Sheet, Income Statement, Cash Flow Statement. Basics of financial reporting and financial statement analysis Second, we focus on the role of financial information for internal purposes: for managerial analysis and for decision making.
Mathematics SECS-S/06 8
This course will provide the mathematical foundations needed to use mathematical and statistical models. In particular, it will introduce concepts from linear modelling and optimization, providing mathematical foundations as they are needed and motivated by applications. The focus will not be on proofs nor on excessive hand computations; instead, it will be on employing and relating mathematics to real-world ideas. Concepts will be made concrete through numerical computations.

II semester

Course SSD Credits
Algorithms ING-INF/05 8
This course will show how to employ algorithmic techniques to solve efficiently computational problems. Students will develop the proper skills to understand and define clear requirements to a problem, decompose it manageable pieces, assess alternative problem solving strategies, and to design an algorithm that efficiently solves the problem. Students will also acquire the ability to implement efficiently their algorithmic solutions using the programming skills obtained in “Introduction to Computer Programming”. The course will also provide a deep understanding of the impact of algorithms in today’s and tomorrow’s business and society.
Legal System in the Digital Age IUS/01 6
The course, after providing students with a basic background of general theory of law and after having introduced them to the institutional study of public law and private law, will analyze in more detail the difficulty that today legal rules take when they seek to regulate technological phenomena. In particular, and among others, the following issues will be analyzed: relationships between technological-financial powers and institutional-political powers; online anonymity; applicable law and competent court with respect to unlawful facts or contractual relations carried out through electronic networks or in any case of a transactional nature; protection of the person in the Age of social networks and information; as well as unlawful acts and contractual relationships online.
Microeconomics SECS-P/01 8
This course will introduce students to economic reasoning and to the basic economic concepts and models that study the behaviour of consumers, producers and markets. Basic notions of game theory, uncertainty, information asymmetries, externalities and public goods will also be presented. A special effort will be made to show the power and limits of such models in explaining real phenomena and, in particular, the current trends of technologies and markets.
Statistics SECS-S/01 8
This course introduces probability theory and data-generating processes that lead to probability distributions. It builds probability distributions from empirical data and density functions from histograms. Topics of integration are introduced as motivated by probabilistic ideas and the transition from discrete data to continuous functions. The focus is not on proofs nor on excessive hand computations; instead, ideas and concepts will be made concrete through visualizations and numerical computations.

II year – 2020-2021

I semester

Course SSD Credits
Data Analysis for Business SECS-S/01 8
This course shows how to help organizations collect, analyze, store and interpret large-scale data in order to develop informed business strategies, by providing a framework to improve students' understanding of data analytics, and enhance their critical thinking and decision making. In particular, students will acquire skills to recognize business problems, gain an understanding of data collection techniques and principles of data analysis, learn how to take data from the technical domain, bridge the data gap between the technical domain and business analysts, analyze and present valuable findings and recommend action to business leaders. 
Databases & Big Data ING-INF/05 8
This course will provide students with an understanding and ability to effectively apply principles of data management. This is broader than traditional database management techniques as it includes systems supporting the volume and velocity which are typically attributed to Big Data. Students will apply knowledge of data query languages to relational databases and emerging large store NoSQL data systems. They will be able to access data from less structured systems through web services and lower level access to data available across the Internet, and data sourced from streams. Once data are collected, data management includes cleaning and initial structuring, using the skills outlined above, and then transforming data into structured forms required for exploration, visualization, and analysis.  
Quantitative Models for Data Science SECS-S/06 8
This course will provide a high level introduction to quantitative topics that arise in the full data science workflow, from the initial investigation and data acquisition to the communication of final results. After a gentle introduction to the elementary notions in estimation, prediction and inference, students will investigate different topics, including the exposure to different data types and sources, and the process of data curation and modelling for the purpose of transforming data into a format suitable for analysis. To enhance students’ computational and analytical abilities, the class will be taught through different case studies occurring in practical scenarios.
Social Network Analysis MAT/09 8
This course will introduce the main tools for the study of networks, which are ubiquitous in today’s society: our personal, social and professional life is organized around networks of friends and colleagues, which determine our information, influence our opinions, and shape our political attitudes. Economic and financial markets look like networks, and many other natural and social phenomena exhibit a marked networked structure. The course will explain in details how certain common principles permeate the functioning of these diverse networks and how the same issues related to robustness, fragility and interlinkages arise in several different types of networks. Students will apply social network analysis to understand socially meaningful outcomes in political action, consumer behavior and online interaction.

II semester

Course SSD Credits
Artificial Intelligence and Machine Learning ING-INF/05 8
The course provides an in-depth understanding of the foundations, scope and approaches of artificial intelligence. In particular, it focuses on machine learning algorithms and to their application to problems in various disciplines. This provides students with the basic ideas and intuition behind modern machine learning methods as well as an understanding of how, why, and when they work. The underlying theme is statistical inference as it provides the foundation for most of the methods covered. Students in this course will not only gain a deep understanding of the foundational aspects of artificial intelligence and machine learning, but they will also acquire the practical skills necessary for their successful applications to new problems in science and industry. 
Business Law and ICT IUS/04 6
The course, giving acquired the institutional knowledge that the student will have acquired in the course of the Legal Systems in the Digital Age, will focus on the more exquisitely commercial aspects that concern the intersection between law and new technologies. And this in the perspective of analyzing the main issues that arise in terms of contract law, consumer protection, market protection, advertising, protection of copyright and property rights in general, corporate governance and financial markets.
Digital Business and Workplace Technology SECS-P/10 8
This course reviews major themes in the use of digital media in the workplace to support new ways of working. The aim is to explore drivers for adopting new digital media to support work processes and activities within organizations, as well as potential challenges and approaches to effectively manage new media in organizations.
The course starts by reviewing the wide range of digital tools available for employees to support their work activities and processes. This forms the basis to conceptualize key elements and characteristics of effective digital workplaces. The course then reviews approaches to develop a strategy and a business case for new projects in this area, as well as metrics required to assess the level of impact of these tools in business. 
Macroeconomics SECS-P/01 8
The course introduces students to the methodological and theoretical tools designed to understand the behavior of the major macroeconomic phenomena, such as GDP growth, business cycles and inflation, and to explain past and current economic development. We will focus on the stylised facts of business cycle fluctuations and economic growth, the determinants of unemployment and inflation. We will also discuss whether and to what extent economy policy can influence macroeconomic performance.

III year – 2021-2022

I semester

Course SSD Credits
Business Cyberlaw IUS/04 6
The course will deal with the most current legal arguments of the c.d. cyberlaw, and therefore from those related to digital identity, e-commerce (including electronic document, digital signature, conclusion and execution of the contract via the Internet, advertising and so on), the operation of social networks, the protection and the distribution of digital products, the definition and protection of electronic markets, the relationship between online and off-line markets, Internet banking, and the resolution of disputes between individuals related to the digital reality, up to those related to bargaining automatic through software, robot operations and the internet of things.
Business and Marketing Analytics SECS-P/08 8
The course provides knowledge into the issue of measuring marketing activities in the digital environment. The focus will be placed on the entire process of marketing and consumer data management, from gathering data online through market research methods and techniques to analysis and marketing decision making based on insights drawn from consumer analytics. A key pillar of the course will be the distinction between quantitative and qualitative marketing data and the different way to analyse them.
1 Elective course   6

II semester

Course SSD Credits
Finance and Financial Technologies SECS-P/09 8
This course introduces students to the basic principles of finance, including time, the value of money, net present value, internal rate of return, cost of capital and financial structure. It deals with the valuation of investment and financing decisions of corporations. In addition, it discusses how the relationship of the corporations with financial investors has been changing due to the diffusion of digital technologies, introducing the students to the opportunities offered by fintech including crowdfunding, peer to peer lending and ICOs.
Mandatory language   4
2 Elective courses   6+6
Laboratories   6
Other activities   4
Final project work   4
Total Credits   180

Possible electives

 Digital Innovation and Entrepreneurship
This course provides the foundational framework to understand the planning and execution of digitally-enabled strategic initiatives. It focuses on managing a digital startup including strategies, tools, and resources integrated with hands-on skills for developing the business plan.
 Digital Ethics
Digital innovation raises obvious ethical challenges. The course tackles these issues, from a general introduction to philosophical ethics to the applications of ethical theories to the infosphere and the digital life. In particular, the course includes units concerning general ethics such as metaethics and normative ethics and deontology and units on digital ethics such as the ethics of information and of digital life, ethics of technology, privacy and democracy. The course will be based on case studies and students' presentations.
 Digital Platforms and Business Ecosystems
This course is about the decisions and choices enterprises make to stay competitive in today’s digitally-enabled economy. It will focus on the role of digital platforms and information infrastructures in enabling new institutional forms. A longitudinal perspective will be used to trace the evolution of digital ecosystems such as Amazon, Microsoft, Google, Apple, Facebook, Tencent and Alibaba.
 Data Analysis and the Bank System
Data are critical to the correct functioning of the banking system. A current challenge for banks is how to analyze data to create value. Data analytics can help banks to establish better relationships with clients, reduce risks, identify investment opportunities. This course analyzes the main data that are used in the banking industry and it will present real-world cases that illustrate how data are elaborated and used within different processes of the banking industry.
Blockchain and Cryptocurrencies
This course provides a high-level introduction to modern cryptocurrencies. Students will learn about cryptographic building blocks and will be able to reason about their security, and how to use these primitives to construct simple cryptocurrencies. Particular emphasis is given to the blockchain and to Bitcoin's consensus protocol, in order to highlight how its security comes from a combination of technical methods and clever incentive mechanisms. The course also discusses the community and political issues within cryptocurrencies and the way that cryptocurrencies interact with politics, law enforcement and regulation issues. 

Elective courses are subject to change.