Master in Management, Finance, and Data Analytics
Rome, Italy
Master degree
DURATION
2 years
LANGUAGES
English
PACE
Full time
APPLICATION DEADLINE
EARLIEST START DATE
TUITION FEES
EUR 4,390 / per year
STUDY FORMAT
Distance Learning, On-Campus, Blended
Key Summary
The Master’s Degree in Management, Finance, and Data Analytics (MMFDA) aims to train graduates with specific and qualified skills in management, finance, and data analysis required to operate as managers, consultants, and data analysts for companies, financial institutions, and public administrations. It offers an international learning path in which functional and sectoral knowledge is integrated into the themes of innovation and sustainability, preparing graduates to take on managerial roles with full awareness of the economic, financial, technological, social, and environmental challenges of the 21st century. The 24-month program proposes a curriculum taught in English in Sustainable Finance and Data Analytics (SFDA).
For students fluent in Italian, the program proposes also two majors taught in Italian:
- Administration, financial management, and control
- Management and Sustainability
For more information on the majors taught in Italian, please visit the university website.
Enrolled students who fulfill the merit and financial requirements can apply for education grants. The amount goes from a minimum of € 1989 to a maximum of € 5.052,56 and varies according to the economic conditions of the family unit and the place where the student is resident. Students can ask for a part of the education grant to be converted into credit for the catering service.
Financial support through grants, exemption from tuition fees and various bands with reduced tuition fees, Accommodation through its special Housing service point, Meal facilities, Part-time jobs, and allowances for disabled students.
The curriculum in Sustainable Finance and Data Analytics (SFDA) is an innovative program preparing graduates with a cutting-edge mindset, theoretical knowledge, and practical skills, with a multidisciplinary approach, for a wide range of careers in the financial ecosystem. It provides students with experience and understanding of the technological, financial, management, statistical, and sustainability skills and the impact of digital transformation in banking and financial services (e.g. Fintech) from an ESG perspective.
Students will use some of the fundamental tools used by data scientists and will become familiar with sourcing structured and unstructured data to treat applying machine learning techniques in finance. Students will develop critical skills for working in the financial ecosystem through the in-depth study of the theory and the practice of innovation and sustainability. The aim of the course is also to acquaint students with the justification and relevance of humanism in the era of rapid development of digital technologies. Upon completing the program, Management, Finance, and Data Analytics graduates will:
- Learn key techniques and methodologies of data analysis
- Acquire innovation skills necessary to recognize the opportunities of digital transformation in the financial sector and to interpret the ethical and sustainable implications
- Develop skills to evaluate and formulate innovative and sustainable financial strategies
First-year
- Asset Management
- Behavioral Economics
- Economics of Innovation and Sustainability
- Business Law
- Principles of Artificial Intelligence
- Big Data Analytics
- Computational Finance
- Elective classes are chosen by the student among the activities offered by the University
Second year
- Innovation in Banking and Fintech
- Sustainable Finance and Investments
- Advanced Corporate Finance
- Financial Risk Management or Corporate Strategy and Sustainability
- Theology
- Internship
- Thesis
Final thesis and graduation
Master's degree is awarded to students who have gained 120 ECTS/CFU credits and satisfied all curricular requirements, including the production and public defense of an original dissertation. The thesis is worth 15 ECTS.
To be admitted to the graduation session students must earn all the credits provided for in the program structure except for those credits of the thesis and must not have any pending financial obligations to LUMSA University. The thesis is evaluated on contents, presentation, and defense.
For the final assessment of the entire degree, a 110-point scale is used. Students pass the final degree exam if they obtain a mark of at least 66 (if the student has an average of 18 on 30). The Board can unanimously award "lode" (cum laude) as a special distinction.
A master's degree is awarded to students who have gained 120 ECTS/CFU credits and satisfied all curricular requirements, including the production and public defense of an original dissertation. The thesis is worth 15 ECTS.
To be admitted to the graduation session students must earn all the credits provided for in the program structure except for those credits of the thesis and must not have any pending financial obligations to LUMSA University. The thesis is evaluated on contents, presentation, and defense.
For the final assessment of the entire degree, a 110-point scale is used. Students pass the final degree exam if they obtain a mark of at least 66 (if a student has an average of 18 on 30). The Board can unanimously award "lode" (cum laude) as a special distinction.
The curriculum in Sustainable Finance and Data Analytics provides excellent preparation for careers in the financial ecosystem. Graduates are trained as data analysts in the banking, insurance, financial service, and financial consultancy sectors as well as in authorities and regulatory agencies. It also provides the right mindset and excellent preparation to become financial analysts, CFOs, investment bankers, and advisors in the perspective of humanistic, sustainable, and technological finance. The master's degree graduates will also be able to go on to doctoral programs and attend both first- and second-level Masters (post-laureate Masters).
The Master's Degree in Management, Finance, and Data Analytics also ensures participation in open competition exams for Italian Public administration-level employment.