Business Administration

Students complete an internship with a local organization or company. Each placement includes oversight and regular check-ins with an internship supervisor from the company or organization. The Internship Methodology Seminar accompanies the internship placement and offers a platform for reflection, enhancement of skills, and development of cultural competence. It focuses on practical skill application, cultural understanding, and adaptability within professional environments to provide a bridge between academic learning and real-world experience.

This course introduces students to human behavior in organizational contexts. Both theoretical and applied approaches will be developed and examining processes at the individual, group, and organizational levels. Instructional methods include lectures, experiential exercises, group activities, videos and case studies. 

This course offers a study of the diverse factors influencing consumer choices, preferences, and behaviors. It explores the psychological, social, cultural, and economic factors that shape consumer decisions. This course includes case studies that focus on the unique context of Spain.

This course explores the dynamics, cultural nuances, and managerial practices that influence behavior, interactions, and performance within Spanish organizations. It discusses organizational behavior theories and their practical applications within the context of Spain's unique business environment.

This course provides students with a further grounding in the important statistical and probabilistic techniques and models relevant to the non-life insurance industry.

This course introduces the basics of business analytics, which uses data and models to make business decisions. It focuses on descriptive analytics and predictive analytics, and covers detailed topics such as data management, data visualization and summary, hypothesis testing, linear regression models, logistic regression models, decision trees, and data mining. The goal of this course is for students to 1) identify key factors in business decisions, 2) apply various tools and techniques to make evidence-based business decisions, and 3) effectively explain and communicate those decisions to various audiences and stakeholders. 

This course focuses on learning how to structure and solve complex decision problems and analyzing their property and solutions quantitatively. It covers advanced theories, algorithms, and applications of management science in the context of quantitative decision modeling and optimization. Topics include the theory and applications of linear, nonlinear, integer programming, as well as advanced modeling approaches to optimization problems under various sources of uncertainty. Students will also explore recent advances in the field, including integration with machine learning, and address real-world decision challenges across various domains, ranging from finance, marketing, and production to healthcare, sports management, and humanitarian operations. The course involves hands-on learning using relevant languages (e.g., Excel, Python) and state-of-the-art solvers. A basic understanding of mathematical optimization and probability is required. 

The course introduces students to the fundamental principles of management accounting, financial management, and financial institutions. Students learn how accounting information can be used by managers to make crucial decisions, such as pricing of products or services, discontinuing or offering new products, and expanding the product/service range or investing in new product development.  Students are introduced to various topics in management accounting and financial management, including cost behavior, cost-volume-profit analysis, costing systems, budgeting, variance analysis, performance measurement, and capital budgeting. As the course progresses, students are introduced to some key concepts in financial management, such as the role of financial markets and financial institutions, capital structure, and risk. The course provides students with a solid foundation in management accounting and financial management, allowing them to apply their knowledge in real-world situations.

In today's rapidly evolving digital landscape, businesses face both immense opportunities and significant challenges. The pervasiveness of digital channels and artificial intelligence is reshaping the business landscape, giving rise to innovative business models and transforming the way companies interact with their customers. The Digital Strategy course delves into the intricacies of this dynamic environment, equipping students with the knowledge and skills to navigate these transformative changes and thrive in the digital era. This course aims to deepen the evolution of policies and strategies for interaction with the market and innovation in the field of the digital economy. The main emerging business models and their management principles are analyzed, with reference both to players present exclusively online, whose main objective is to use the network to directly create value, as well as to companies that use the Web and mobile technology to enhance and complete their traditional activities, according to an intrinsically integrated strategic approach. In this perspective, the most recent developments in content management, gamification, metaverse, and digital products are explored. The courses features technology-enhanced lectures, guest speakers who will bring their real-world experience and expertise, case studies, and group work. 

This course is part of the Laurea Magistrale degree program and is intended for advanced level students. Enrollment is by permission of the instructor. This course is meant to provide theoretical concepts and managerial tools to (a) understand and analyze the main models underlying organizational behavior and people management; (b) develop and increase critical skills in decision making through the analysis of the impact of theories; c) identify problem solving approaches through discussion of case studies.

The course is divided into 3 parts: The Individual in Organizations; Group and Team Processes; Power, Politics and Conflicts.

At the end of the course, students: know the salient characteristics of individuals, work teams, and organizational processes that influence organizational performance in face-to-face and virtual work settings; are capable of analyzing risks and opportunities of different work designs, managing complex decision processes, and detecting and implementing strategies to solve organizational conflicts, particularly in globally distributed teams.