Overview
The Quantitative Finance and Data Science for Economics program at University of Perugia combines mathematical modelling, statistics, econometrics, programming, financial analysis, and data-driven methods to prepare graduates for careers in financial institutions, data analysis, risk management, and economic research.
Description
The programme provides interdisciplinary training at the intersection of economics, finance, statistics, mathematics, and computer science. Students develop expertise in quantitative finance, financial markets, computational methods, statistical learning, and data science techniques applied to economic and financial problems.
The programme offers two curriculum pathways:
- Quantitative and Computational Finance
- Data Science for Economics and Finance
Students study advanced topics including asset pricing, econometrics, mathematical methods for finance, statistical computing, machine learning-oriented approaches, financial risk management, and computational tools such as R, Python, and MATLAB
Programme Structure
Courses include:
- Quantitative Finance
- Computational Finance
- Data Science for Economics and Finance
- Financial Mathematics
- Econometrics
- Statistics for Data Science
Key information
Duration
- Full-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before , International
-
Language
Credits
Delivered
Campus Location
- Perugia, Italy
Disciplines
Economics Finance View 73 other Masters in Economics in ItalyWhat students do after studying
Academic requirements
We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.
English requirements
We are not aware of any English requirements for this programme.
Other requirements
General requirements
- A Bachelor’s degree (First Cycle degree) or equivalent foreign qualification recognized as suitable by the admission committee.
- Applicants may need to demonstrate a minimum number of required credits (CFU) in relevant academic areas such as:
- Economics and business
- Mathematics and statistics
- Finance
- Computer science/information technology
- Any missing curricular requirements may need to be completed before admission.
Student Insurance via Studyportals Partner
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Tuition Fees
-
International Applies to you
Applies to youNon-residents150 EUR / year≈ 150 EUR / year -
Domestic Applies to you
Applies to youCitizens or residents150 EUR / year≈ 150 EUR / year
Additional Details
Students may expect to pay a yearly tuition usually between 150 and 2200 Euros, depending on the family annual income and merit.
Living costs
Perugia
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
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Scholarships Information
Below you will find Master's scholarship opportunities for Quantitative Finance and Data Science for Economics.
Available Scholarships
You are eligible to apply for these scholarships but a selection process will still be applied by the provider.
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