MEngineering Management
Italy, Siena
| Study location | Italy, Siena, Palazzo San Niccolò, via Roma, 56 |
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| Academic field | Production & manufacturing engineering (JACS H700) |
| Type | Master's Degree, full-time |
| Nominal duration | 2 years (120 ECTS) |
| Study language | English |
| Awards | M (LM-31 Second cycle degree in Engineering Management) |
| Application fee | €49.90 per program You may apply for admission to up to two programs within the same application. The application fee must be paid separately for each program to which you apply. |
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| Entry qualification | Bachelor/Undergraduate diploma (or higher) After You Apply Admission Criteria
After the Evaluation At the discretion of the Enrolment Committee, students who pass the initial selection based on the submitted documents may be invited to take a remote online test and/or attend an interview. The dates for any additional selection tests will be communicated via email. The entry qualification documents are accepted in the following languages: English / Italian. Schools and universities usually provide documentation translated into English. If this is not available, an official translation will be required, along with certification of the authenticity of the original documents. Review the documents required for the admission application at this link: admission.unisi.it/?p=1193 Review the documents required for enrollment (upon admission) at the link admission.unisi.it/?p=1982 Upload copies on the application |
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| Territory requirements | Applications are accepted from the following territories (based on citizenship): World. |
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| Language requirements | English English fluency is required, with a minimum proficiency level of B2 according to the Common European Framework of Reference for Languages (CEFR). For further information, check the following link |
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| More information |
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Overview
The MSc in Engineering Management provides students with advanced skills in modeling, optimization, decision-making, and organizational management. The program focuses on industrial economics and marketing, innovation process planning, and project management. It also delivers a strong foundation in mathematical modeling, data analysis, decision analysis, and the optimization of complex systems.
Objectives
The program prepares interdisciplinary professionals with advanced problem-solving skills and a comprehensive understanding of modern organizations in today’s economic and social landscape. Graduates are equipped to develop innovative and sustainable solutions for complex challenges, making them well-suited for managerial roles in diverse industries.
Courses
The curriculum integrates quantitative methodologies, economic and managerial expertise, and hands-on applications to address real-world challenges. Students gain knowledge in data and decision analysis, management information systems, production and supply chain management, and the design of complex systems. They also explore industrial economics, marketing, innovation processes, and project and human resource management.
In addition to these foundational areas, students engage with applications in financial modeling, healthcare systems and technology assessment, data science, energy systems, and environmental resource management. This multidisciplinary approach ensures graduates are prepared to tackle key problems in contemporary industries and organizations.
Program structure
MUR degree class: LM-31 Second cycle degree in Management Engineering
Duration in years: 2
Credits: 120
Language: English
Career opportunities
Internship and International Opportunities
The Department of Information Engineering and Mathematics has a strong history of collaborations with academic and industrial partners. These partnerships provide students with opportunities to spend a semester at prestigious universities and research institutions through student exchange programs or to undertake internships at companies and research labs specializing in management engineering.
Career Opportunities
Graduates in Engineering Management are well-equipped to apply the knowledge and skills gained during their studies in environments that require complex decision-making processes and advanced analytical capabilities. The program’s multidisciplinary approach, supported by quantitative methods, enables graduates to contribute across various sectors, including production and logistics, finance, consultancy, healthcare, and energy.
This versatility allows graduates to secure positions in organizations of all sizes, ranging from startups to multinational corporations. While many begin their careers in technical roles, they often advance rapidly to executive or managerial positions. Typical responsibilities include developing quantitative models, designing optimization algorithms, creating decision support systems, and implementing technological innovations to drive efficiency and progress within organizations.