Master in Quantitative Finance and Data Science for Economics at University of Perugia
Two-year English-taught interclass master's (LM-16 and LM-83) at the University of Perugia, with curricula in Quantitative and Computational Finance or Data Science for Economics and Finance. Entry needs a related bachelor's, 90/110 or a council review, and B2 English.
Master
2 years
Perugia
English
University of Perugia
Quantitative Finance and Data Science for Economics is a two-year, 120 ECTS master's degree (classes LM-16 and LM-83) taught in English at the University of Perugia. Entry needs a bachelor's in economics, business, maths or statistics, or a related degree with 18 relevant credits, a final grade of 90/110 or a council review, and English at B2. Fees follow family income, so it can be tuition-free for eligible students.
Entry requirements
Detailed entry requirements
UniPG's Quantitative Finance and Data Science for Economics master asks for a bachelor's degree in economics, business, maths or statistics, a related degree with at least 18 credits in statistics or economics, or a foreign degree the admissions committee finds suitable. You also need a final grade of at least 90/110 or a positive course council review, and English at B2. Reviewed 8 October 2026. [1]
Degree requirement
Direct access is open to graduates of these Italian bachelor's classes, and to holders of a foreign qualification that the admissions committee recognises as suitable: [1]
- L-18: business economics and management
- L-33: economics
- L-35: mathematics
- L-41: statistics
Graduates in information engineering (L-8), industrial engineering (L-9), physics (L-30) or computer science (L-31) also have direct access if they hold at least 18 CFU in statistics, economics or business subjects (sectors SECS-S/01 to SECS-S/06 and SECS-P/01 to SECS-P/12). [1]
Without one of these degrees, the committee runs a preliminary review of your study record and an interview to check a set number of credits in specific subject groups. If credits are missing, you make them up through single courses at UniPG before the personal preparation check. [1]
Final grade and personal preparation
The personal preparation check is passed automatically with a bachelor's final grade of 90/110 or higher. With a lower grade, the course council decides on admission after reviewing your previous studies and may ask for a preliminary interview. [1]
The regulations set this threshold on the Italian 110-point scale and do not say how foreign grades are converted, so we check how your grade compares before you apply.
What this means for your transcript
Degrees from India, Pakistan, Bangladesh or Sri Lanka do not carry Italian class codes, so the committee judges a foreign degree on its content. As a guide, based on the rule above:
- Usually a fit: a BA or B.Sc. in Economics, a B.Sc. in Statistics or Mathematics, or a B.Com or BBA with solid economics and quantitative subjects.
- Check carefully: a B.Tech, B.E., BCA or B.Sc. in Computer Science or Physics, which needs at least 18 credits in statistics, economics or business subjects.
- Often short: a BA in humanities or social sciences without economics, statistics or maths.
Missing credits can be made up through single courses at UniPG before admission. [1]
English
English at CEFR level B2, checked before enrolment. [1] For programmes taught in English, UniPG accepts B2 certificates from a set list, including IELTS 5.5 to 6.5, TOEFL iBT 72 to 94, PTE General Level 3, LanguageCert International ESOL B2 Communicator, Trinity ISE 2 and the Oxford Test of English B2. Duolingo results and medium-of-instruction letters are not accepted. [3]
No entrance test
The degree has open access, with no entrance test. Admission rests on the committee's check of your degree, your final grade and your English. [1][5]
2026/27 deadlines
For 2026/27, non-EU applicants living abroad who need a study visa submitted a PICA pre-evaluation application between 29 May and 7 June 2026. Master's files were then sent to the degree committee to assess the academic requirements. The 2027/28 dates are not yet published, and the next call sets them. [2]
Documents and non-EU steps
The PICA application needs your passport, your degree documents, any language certificate and a CV. Each candidate can submit only one application, for one course. [2] For a master's degree, UniPG lists: [4]
- Your bachelor's degree certificate and official transcript, with an Italian translation unless they are issued in English, French or Spanish.
- The programme of exams or course syllabus, and a CV.
- A B2 English certificate.
- A CIMEA statement of verification and statement of comparability, or instead a declaration of value from the Italian mission or a certificate from an ENIC-NARIC centre.
After a positive PICA outcome comes Universitaly pre-enrolment, then the study visa. Enrolment and the first fee payment happen only after you arrive in Italy. [2]
Sources and verification
Checked by the ApplyAZ admissions team against the university's official documents listed below. Entry rules can change with each new call, and we re-check them before every application.
- University of Perugia, Department of Economics. Teaching regulations, Master's degree in Quantitative Finance and Data Science for Economics (classes LM-16 and LM-83), academic year 2026/27. Reviewed 8 October 2026.
- University of Perugia. Becoming a UniPG student: pre-enrolment procedure for non-EU citizens residing abroad, academic year 2026/27. Reviewed 8 October 2026.
- University of Perugia. Language requirements for international students: accepted B2 English certifications, 2026/27 admissions. Reviewed 8 October 2026.
- University of Perugia. List of study documents for international applicants, 2026/27 admissions. Reviewed 8 October 2026.
- University of Perugia. Course offer 2026/27, Quantitative Finance and Data Science for Economics: course summary (classes, access type and language of teaching). Reviewed 8 October 2026.
- University of Perugia. Tuition fees and scholarships for international students, academic year 2026/27, with the flat tax fee table (undated). Reviewed 8 October 2026.
About the programme
Quantitative Finance and Data Science for Economics is a two-year interclass master's degree (laurea magistrale) in finance (LM-16 R) and statistical, actuarial and financial sciences (LM-83 R). It is run by the Department of Economics of the University of Perugia, with open access and teaching in English in Perugia (code M0208).
From 2025/26 the degree replaced the former Finance and Quantitative Methods for Economics (LM-16 and LM-83), which is no longer in the offer. [1] It suits graduates who want to combine finance with programming, statistics and risk modelling.
What you will study
You choose one of two curricula, each linked to one class: Quantitative and Computational Finance (LM-16 R) or Data Science for Economics and Finance (LM-83 R). Units in the 2026/27 ECTS catalogue include:
- Applied Corporate Finance and Asset Pricing
- Mathematical Methods for Finance, with a MATLAB lab
- Statistics for Data Science with R and Python, and Econometrics
- Finance and Insurance Regulation
- Private Banking and Asset Management
- Computational Finance and Insurance, and Quantitative Risk Management
- Statistical Learning for Data Science, and Business and Economic Statistics
- Economic and Financial Policies for Development
How the programme is taught
Teaching runs over two semesters a year, and attendance is recommended but not compulsory. The second year adds a 9-credit elective exam, a 3-credit curricular internship and a 15-credit thesis, which is written and discussed in English. [1]
Career paths
The 2026/27 regulations list these main career outlets: [1]
- financial analyst
- actuary, after passing the Italian state exam
- business analyst
- statistical analysis expert in economics and finance
- portfolio manager
- risk manager in financial and non-financial companies
Fees and scholarships
For 2026/27 UniPG sets tuition by family income and merit, so the programme can be tuition-free for eligible students. If your family's income and assets are outside Italy, you can use an ISEEU parificato or request a flat tax set by your country's income bracket. For 2026/27 the request window runs from 3 August to 20 October 2026. [6] Eligible students can apply to A.Di.S.U. Umbria for a regional scholarship.
How to apply from outside the EU
For non-EU applicants, we first request a pre-evaluation on the PICA portal. For 2026/27 the general call ran from 29 May to 7 June 2026, and master's files went to the degree committee to check curricular requirements.
With a positive outcome, we complete Universitaly pre-enrolment and you apply for a study visa. Enrolment and the first fee instalment are completed only after you arrive in Italy, not from abroad. The 2027/28 dates are not yet published. [2]
How ApplyAZ helps
ApplyAZ is an Italy-based consultancy that works only with public universities. We can include this programme in a shortlist of 20 to 30 English-taught programmes that fit your profile, so your plan never rests on a single application.
For eligible students who start with us, a named person owns each stage, from A to Z:
- We check your transcript against UniPG's entry rules for this programme.
- We write your CV and a tailored statement of purpose.
- We prepare and submit your PICA pre-evaluation and Universitaly pre-enrolment.
- We help you declare your family income for reduced fees and file your ADiSU Umbria scholarship application at the right time and in the right format.
- We prepare your visa file.
With operations in all 20 Italian regions, we follow each region's scholarship rules and deadlines as they change. The university decides admission, the region decides the scholarship and the consulate decides the visa, so no one can promise an outcome. You pay in milestones, and every service you pay for is either delivered or its fee is refunded (terms apply).
Programmes at Italian public universities can be tuition-free for eligible students. Check if you are eligible and book a one-to-one consultation session with one of our Italy experts, or see how ApplyAZ works.
Questions and answers
What bachelor's degree do I need for UniPG's Quantitative Finance and Data Science master?
A bachelor's in business economics, economics, maths or statistics, or a foreign degree the committee finds suitable. Engineering, physics and computer science graduates qualify with at least 18 credits in statistics, economics or business. You also need 90/110 or a course council review. [1]
Is there an entrance exam?
No. The degree has open access. The committee checks your degree and final grade. With a grade below 90/110, the course council reviews your previous studies and may hold a preliminary interview. [1]
What English level is required? Do I need IELTS?
English at B2. IELTS is one option, at 5.5 to 6.5, alongside TOEFL iBT 72 to 94, PTE General Level 3 and other listed certificates. UniPG does not accept Duolingo results or medium-of-instruction letters. [1][3]
When is the deadline for non-EU students?
For 2026/27, non-EU applicants living abroad applied for PICA pre-evaluation between 29 May and 7 June 2026. The 2027/28 window is not yet published, and the next call sets the new dates. [2]
Can I apply before I graduate?
Yes. Final-year students can apply with a certificate of enrolment in the last year and a transcript, then add the missing documents later. You can only complete enrolment once you graduate with the required degree, grade and English. [1][4]
I have a B.Tech or a BCA. Can I apply?
Possibly. Engineering and computer science graduates have direct access only with at least 18 credits in statistics, economics or business subjects. Otherwise the committee reviews your record and may ask you to make up missing credits through single courses. [1]
Is this the same degree as Finance and Quantitative Methods for Economics?
It is its successor. From 2025/26 the Department of Economics turned Finance and Quantitative Methods for Economics into Quantitative Finance and Data Science for Economics, an interclass degree in classes LM-16 and LM-83. [1]
What are the two curricula?
Quantitative and Computational Finance, and Data Science for Economics and Finance. Both share a first year in mathematical methods, asset pricing, corporate finance, statistics with R and Python, and regulation. You choose your class and curriculum when you enrol. [1]
Can someone handle my whole application to Quantitative Finance and Data Science at UniPG?
Yes. ApplyAZ, an Italy-based consultancy that works only with public universities, checks your transcript against UniPG's rules for this programme, handles the application and Universitaly pre-enrolment, helps you file the ADiSU Umbria scholarship application at the right time and in the right format, and prepares your visa file, for eligible students. Start by checking your eligibility.
I'm applying from India. What is the route into Quantitative Finance and Data Science?
A recognised Indian bachelor's in economics, commerce, business, maths or statistics is the closest match to the degree classes UniPG lists, and the admissions committee decides whether a foreign degree is suitable. You also need a B2 English certificate from UniPG's list. The steps are PICA pre-evaluation, the committee check of your degree and Universitaly pre-enrolment. [1] Indian students apply for the type D study visa at the Italian embassy or consulate that covers their state, such as New Delhi, Mumbai or Bengaluru.
Is the route different from Pakistan, Bangladesh or Sri Lanka?
No. The academic rules for Quantitative Finance and Data Science are the same whatever your nationality. Applicants from Pakistan, Bangladesh and Sri Lanka follow the same steps as India: PICA pre-evaluation, the committee check of your degree and Universitaly pre-enrolment, then a type D study visa from the Italian mission for their country of residence. Read our guide for students in Dhaka.
I live in the UAE, Saudi Arabia, Qatar, Kuwait, Oman or Bahrain. Where do I apply for the visa?
At the Italian embassy or consulate responsible for the country where you legally live, after Universitaly pre-enrolment. The academic rules for Quantitative Finance and Data Science are the same whatever your nationality, and Gulf residents follow the same steps: PICA pre-evaluation, the committee check of your degree and Universitaly pre-enrolment. Read our guides for Dubai, Riyadh and Doha.
I studied or live in London, New York, Toronto, Vancouver, Singapore or Kuala Lumpur. What is the route?
The academic rules for Quantitative Finance and Data Science are the same whatever your nationality, and your degree is assessed like any other foreign qualification. Non-EU applicants who live abroad follow the same route: PICA pre-evaluation, the committee check of your degree and Universitaly pre-enrolment, then a type D study visa from the Italian mission for where they live. Read our guides for students in London, New York, Toronto, Vancouver, Singapore and Kuala Lumpur.
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