My experience at LUISS consists of a Bachelor’s degree in Economics and Finance, a Master’s degree in Finance and two semesters abroad thanks to the QTEM program. QTEM offers huge growth potential and is therefore a great investment: I’ve been selected for a traineeship position at the European Central Bank, in the department of Market Operations, where I’ve been working since August as a Supervision Analyst in the Risk Analysis and Quantitative Risk division, where I monitor the market, credit and operational risk of EU banks.
Management and Computer Science
ManagementBachelor's Degree Program
The LUISS Bachelor Program in Management and Computer Science offers talented students the unique educational opportunity to be trained in the emerging field of Data Science. Co-designed by academic and business partners, this BA weaves economics and management disciplines with courses in coding, machine learning, and artificial intelligence to forge a breed of digital talents.
As a result, the course trains students to translate business questions into data issues and vice-versa by addressing the skills shortage of data workers. LUISS University offers several full tuition scholarships to top students from Europe, US, and China with a high-school diploma and proficient in the English language.
The new LUISS bachelor’s degree program in Management and Computer Science organize LUISSMatics, an online programming competition.
More information about LUISSMatics (in italian)
- Program Insights
- Junior Business Analyst
- Junior Sales Analyst
- Junior Data Analyst
- Junior Risk Analyst
- Junior Consultant
- Digital Entrepreneur
ECTS for Digital Skills Lab and Entrepreneurship Competition
Data scientists needed in European open research data
Data are the new oil: the continuous migration of business activities to the internet combined with the declining costs of data collection, storage and processing has led to the generation and use of the so-called Big Data. Big Data are a core asset of today’s economy: their exploitation may create value in variety of ways such as new business opportunities for start-ups; optimization of global value chains; more efficient use of labour. Harnessing Big Data requires new management professionals equipped with digital skills. Large and small corporations, public administration, and governmental institutions produce and use data for a variety of purposes, from improving organizational processes to defining new business models to generate value.
Programme’s distinctive features
The BA Programme in Management and Computer Science offers talented students the unique educational opportunity to be trained in the emerging field of Data Science. Co-designed by academic and business partners, this BA weaves economics and management disciplines with courses in coding, machine learning, and artificial intelligence to forge a breed of digital talents. In a data-driven era, managers must have interdisciplinary skills: strategic and organisational knowledge together with computing knowledge to discover patterns and relationships in data and turn these discoveries into actionable information that creates organizational and / or entrepreneurial value. Indeed, Year 1 covers such courses as economics, management, law, algorithms, coding; Year 2 offers courses on database management, advanced analysis techniques, organisation; Year 3 focuses 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 trains students for roles as data scientists in medium and large sized corporations, become digital entrepreneurs, or to go on to master’s programs in Marketing, Operations, and Finance.
|Fundamentals of Management |
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 |
|Performance Measurements |
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.
This course will provide the mathematical foundations needed to use mathematical and statistical models. In particular, it will introduce concepts from linear modeling 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.
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 |
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; ad well as unlawful acts and contractual relationships online.
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.
This course will introduce probability theory and data-generating processes that lead to probability distributions. It will build probability distributions from empirical data, and density functions from histograms. Topics of integration will be introduced as motivated by probabilistic ideas and the transition from discrete data to continuous functions. The focus will not be on proofs nor on excessive hand computations; instead, ideas and concepts will be made concrete through visualizations and numerical computations.
|Data Analysis for Business |
This course will show 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 |
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 |
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 modeling 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 |
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.
|Artificial Intelligence and Machine Learning |
The course will provide an in-depth understanding of the foundations, scope and approaches of artificial intelligence. In particular, it will focus on machine learning algorithms and to their application to problems in various disciplines. This will provide 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 will be 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 |
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 |
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 organisations, as well as potential challenges and approaches to effectively manage new media in organisations. 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 conceptualise 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 metrics required to assess the level of impact of these tools in business.
The aim of the course is to introduce students to the methodological and theoretical tools designed to understand the behaviour 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.
|Business Cyberlaw |
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 |
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.
|Finance and Financial Technologies |
This course will introduce the students to the basic principles of finance, including time value of money, net present value, internal rate of return, cost of capital and financial structure. It will deal with the valuation of investment and financing decisions of corporations. In addition, it will discuss 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, ICOs.
|3 Elective courses|
|Digital Skills Lab|
|Final Project Work|
|Digital Innovation and Entrepreneurship |
This course provides the foundational frameworks for understanding the planning and execution of digitally-enabled strategic initiatives. It will focus 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, going from a general introduction to philosophical ethics to the applications of ethical theories to the infosphere and the digital life. In particular, the course will include 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. Nowadays one big 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 analyze 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 will provide 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. A particular emphasis will be 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 will also discuss the community and politics issues within cryptocurrencies and the way that cryptocurrencies interact with politics, law enforcement and regulation issues.
The Bachelor’s program in Management and Computer Science provides a unique learning and networking opportunity for students who want to pursue successful managerial careers in a data-driven economy. The course trains students for roles as data scientists in medium and large sized corporations, become digital entrepreneurs, or to go on to master’s programs in Marketing, Operations, and Finance.
LUISSMaticsLUISSMatics, 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 or further information please contact the organizers of the competition: Prof. Giuseppe F. Italiano and Prof. Luigi Laura.
Hall of fame
CFO Gruppo Leonardo - Finmeccanica
Graduate in Business & Management, 1996
Alessandra Genco is the CFO of Leonardo, the Italian aerospace and defense company. She was previously Vice President Group Finance, in charge of capital markets, treasury, investments and insurance activities.
Prior to joining Leonardo, she spent seven years in the US where she worked in the Investment Banking Division of Goldman Sachs as Vice President in their New York Office.
She covered clients across numerous industries, including financial sponsors. She holds an MBA from the Stanford Graduate School of Business and a M.Sc. in Economics from LUISS Guido Carli University. She is on the board of various companies, in Europe and in the US. Strongly committed to the theme of diversity, she serves as mentor of talented young women.
Management and Computer Science
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