Bachelor in Management and Artificial Intelligence
Luiss Guido Carli
EUR 12,300 / per year *
31 May 2024
Earliest start date
* Luiss Tuition Fee is to be paid in three installments
Management and Artificial Intelligence meets the growing need for experts in AI, big data management and digitalisation, equipped with strong economics and business acumen, who can harness the potential created by Artificial Intelligence. Throughout their academic journey, students will be immersed in an enquiry-based learning experience made up of different but complementary pillars, such as lectures with top academics, testimonials with highly reputed industry professionals, laboratories, project works with companies and simulations that will culminate in a “Grand Challenge”. Highly interdisciplinary, the Programme blends robust quantitative skills in STEM fields with economics and management thinking and is further enriched by a Humanities course of the student’s choosing. No prior background in computer science is necessary to enrol.
Scholarships and Funding
Luiss University aims to inspire meaningful change in society by educating a new generation of successful students and graduates. To this end, the University invests in inclusion, social mobility and collective leadership by going beyond conventions, roles and goals to transform boundaries into horizons.
Our mission is to create a future fueled by an intertwining of knowledge, cultures, responsibility and passion. Social, cultural and gender diversity and sustainable development in the circular economy and in digitalization are the guiding principles in taking action for international students. Welcoming international students is one of our most important values, which is why Luiss University offers a variety of full and partial scholarships to talented students from all over the world each year.
I year - 2024-2025
- Mathematics (8 Credits)
- The course will provide the students with basic knowledge of one-variable calculus and linear algebra, illustrating the main ideas and tools through examples, exercises, and theoretical discussions.
- Introduction to Computer Programming (6 Credits)
- The course is about basic programming concepts and computational thinking: students will understand the role that computation can play in solving problems and will be able to write small programs that allow them to accomplish useful goals.
- Microeconomics (8 Credits)
- The goal of the course is to provide students with the tools necessary to understand the economic behaviors of consumers, producers, and markets. Special emphasis will be given to the functioning and malfunctioning (market failures) of the market's mechanisms.
- Digital Business Management (8 Credits)
- The course illustrates the sociological approach to the understanding of many relevant fields of social life; at the end of the course students will be able to grasp and discuss the main sociological issues.
- Statistical Modeling (8 Credits)
- The course introduces the main concepts of probability and statistics, providing the methodological foundations for data collection and analysis.
- Algorithms (8 Credits)
- The course will provide the students with a wide knowledge of fundamental algorithms and data structures, with emphasis on applications and performance analysis of real implementations. Students will develop algorithmic design skills and will be challenged with complex problems.
- Legal System in the Digital Age (8 Credits)
- The course aims at making students familiar with European and Italian legal systems, with special regard to fundamental categories of private law issues and the new dimensions created by information technology.
- Principles of Accounting (8 Credits)
- The course aims to acquaint students with the vocabulary, concepts, and basic applications of accounting and financial statement analysis.
II year - 2025-2026
- Grand Challenge (6 Credits)
- During this course students will work in teams, using data analytics and artificial intelligence techniques to solve real business problems. Challenges will be proposed and evaluated by players of the business world.
- Machine Learning (8 Credits)
- The course provides an in-depth understanding of the foundations, scope, and approaches of artificial intelligence. It focuses on machine learning algorithms and their application to problems, that are useful to understand how, why and when machine learning methods work.
- Business Law and ICT (6 Credits)
- The course will provide students with a sound understanding of the most fundamental business issues concerning the intersection (sometimes emerging as a clash) between the legal institutes and the new technologies.
- Data, AI and Organizations (8 Credits)
- The course reviews and critically examines several models and practices related to the pervasive use of data and artificial intelligence within organizational boundaries.
- Data Analysis for Business (8 Credits)
- 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.
- Macroeconomics (8 Credits)
- This course aims to provide the methodological and theoretical tools to understand how the economies work and to explain the past and current economic developments.
- AI and Data Management Law (6 Credits)
- The course offers a glimpse over the main legal issues of Artificial Intelligence and Data Management law from an EU and comparative law perspective to equip students with tools to understand the interplay between technological advancements and business law.
- Databases & Big Data (8 Credits)
- The course aims to provide the students with a solid understanding of classical notions of data management as well as modern concepts related to the so-called 'Big Data'. Notions will be analyzed both formally and using practical application scenarios.
III year - 2026-2027
- Business and Marketing Analytics (8 Credits)
- This class introduces to contemporary research on the political economy of development. Students will learn how to answer main questions regarding the proximate and the fundamental causes of growth and development and connect theories routinely to real-world examples.
- Social Network Analysis (6 Credits)
- The course aims at making the students familiar with the Western political systems and the features of the main Western institutional settings and models, their historical development, and theoretical premises, thus enabling a deeper understanding of contemporary politics.
- Artificial Intelligence Techniquesm (6 Credits)
- This course explores the debates on the relationship between politics and society, between social and political institutions, and between social and political behavior. Students will gain basic understanding on the theoretical tools, methodologies, and techniques for political sociology analysis.
- Finance and Financial Technologies (8 Credits)
- The main goal of this course is to provide a knowledge basis of the Corporate Finance and Financial Markets fields, together with a broad introduction to the role of Fintech companies.
- 3 Elective Courses (18 Credits)
- GAP 1 (2 Credits)
- GAP 2 (2 Credits)
- Mandatory Language (4 Credits)
- Other Activities (4 Credits)
- Final Thesis (4 Credits)
Total: 180 Credits
Program Tuition Fee
The BSc in Management of Artificial Intelligence responds to the demand for new, perfectly bilingual professionals, combining strong quantitative skills in computer science with the rigorous thinking of economic and management sciences.
Graduates will be able to work in any professional sector as Junior Business Analysts: banking, insurance, audit, professional and business consulting, public administrations, covering key roles in the digital and technological development of firms and institutions.
The course trains data scientists and data-intelligent analysts able to enrich the competencies of the Chief Digital Officer and Chief Information Officer. Graduates will be capable to leverage data-driven insights for improving many of the core businesses of modern organizations, including fostering better customer relations, driving operational excellence, creating new business models.