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LUMSA University Master in International Relations
LUMSA University

Master in International Relations

Rome, Italy

2 Years

English

Full time

Request application deadline

Oct 2025

EUR 4,390 / per year

On-Campus

Introduction

The master's Degree in International relations aims to provide students with specific and qualified skills in the field of International Relations. Only by mastering these tools will they be able to analyze, interpret, assess, and manage the global scope of political phenomena and their relative policies, as well as general economic and social aspects inherent to the relations among countries, public and private institutions, and national and international, governmental and non-governmental organizations. Thanks to its multidisciplinary approach, the course intends to equip students with the essential elements to engage in decision-making and problem-solving activities in complex, changing contexts that are radically different from their own.

Graduates in International Relations will acquire specific languages and basic tools for the theoretical and empirical analysis of every discipline and advanced preparation in the classical disciplines of International Relations (law, history, economics, politics, and language). They shall develop excellent, both written and oral skills in a European language and a second European language or a good competence in a non-European language. They shall gain the necessary knowledge to understand the perspectives of their interlocutors and to critically analyze the socio-economic and socio-cultural processes of today's international society. At the same time, graduates shall follow a multidisciplinary and crosswise approach to acquire essential conceptual, methodological, and analytical tools and an advanced level of historical, political, and legal knowledge, integrated with a preparation focusing on the main technological and geopolitical changes introduced by the digital age. They shall propose innovative IT solutions and decision-making processes often based on information extracted from large amounts of data.

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