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LUISS Guido Carli

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Management and Data 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 Data 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)

Presentation

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 Data 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.

Insegnamenti previsti

I year – 2018-2019

I semester

Course SSD Credits
Fundamentals of Management SECS-P/08 8
Introduction to Computer Programming ING-INF/05 6
Microeconomics SECS-P/01 8
MathematicsSECS-S/068

II semester

Course SSD Credits
Algorithms ING-INF/05 8
Legal System in the Digital Age IUS/01 6
Performance Measurements SECS-P/07 8
Statistics SECS-S/01 8

II year – 2019-2020

I semester

Course SSD Credits
Data Analysis for Business SECS-P/01 8
Databases & Big Data ING-INF/05 8
Quantitative Models for Data Science SECS-S/06 8
Social Network Analysis SECS-P/10 8

II semester

Course SSD Credits
Artificial Intelligence and Machine Learning ING-INF/05 8
Business Law and ICT IUS/04 6
Digital Business and Workplace Technology SECS-P/10 8
MacroeconomicsSECS-P/018

III year – 2020-2021

I semester

Course SSD Credits
Business Cyberlaw IUS/04 6
Business and Marketing Analytics SECS-P/08 8
Finance and Financial Technologies SECS-P/09 8
Elective course-6

II semester

Course SSD Credits
2 Elective courses - 6+6

Additional credits

Activity Credits
Mandatory language 4
Laboratories 6
Other activities 4
Final project work 4
Total Credits 180

Possible electives*

Course
 Digital Innovation and Entrepreneurship
 Digital Ethics
 Digital Platforms and Business Ecosystems
 Data Analysis and the Bank System
Blockchain and Cryptocurrencies

*Elective courses are subject to change