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Degree course in Finance and quantitative methods for economics [LM-16] D. M. 270/2004

General information

Qualification awarded

Master degree in Finance and Quantitative Methods for Economics

Level of qualification

Second level.

Specific admission requirements and specific arrangements for recognition of prior learning

The knowledge necessary for enrolment in the Advanced Degree course is acquired normally through completion of a first level degree, preferably in the class of degree 18 – Science of Economics and of Business Management.

Acceptance in the Advanced program is, however, contingent upon verification of the candidate’s being in possession of the curricular requirements and his/her personal preparation.

The curricular requirements must amount to at least 60 credits composed as follows: SECS-P/01, 9 ECTS credits; SECS-P/07, 9 ECTS credits; SECS-P/11, 9 ECTS credits; SECS-S/01 (or SSD related) 9 ECTS credits; SECS-S/06 (or SSD related), 18 ECTS credits.; L-Lin/12, 6 ECTS credits.

Candidates who have completed a three-year degree with a grade equal to or above 95/110 have the necessary requirements of personal preparation.

Candidates who have a grade inferior to that indicated are required to pass a test in order to ascertain their personal preparation. The test will take place in September of every year.

Profile of the programme

The Degree program in Finance and Quantitative Methods for Economics is designed to provide the student a thorough knowledge of finance and insurance contracts as well as the organization and functioning of financial markets. Close attention is dedicated to methods and processes for evaluating the financial and “technical” risks of businesses and intermediaries, with particular stress on the instruments and mathematical-statistical models for managing risk and, more generally, for the analysis and interpretation of economic-financial phenomena in fluctuating conditions. 

Qualification requirements and regulations

The Advanced Degree in FIN is a 2 year program during which the student must acquire 120 credits. It is in the class of Degree in Finance (class LM-16) and in Science of Actuary and Financial Statistics (class LM-83). It is designed to provide the students with the competence and knowledge required for evaluating and using financial and insurance products; for managing relations between banks and businesses; for finding investment opportunities for private and institutional investors; for managing insurance coverage.

The Degree Course consists of two curricula. The first, Finance and Insurance, deals with the close study of evaluation and risk management in the financial-insurance environment. The second, Statistics for Economy and Finance, dedicates close study to the mathematical-statistical competence necessary for quantitative analysis of more general economic-financial phenomena.

All details regarding the organization and conduct of the Degree Program are available in the Didactic Regulations found on the Faculty’s website.    

Key learning outcomes

Upon completion of the program the FIN graduates are able to analyze and comprehend in detail economic, financial and insurance phenomena and to evaluate their impact on the strategic and operative problems of businesses. They will also have perfected their ability to apply various mathematical-statistical instruments to business activities. The students will learn the scientific methodology required to understand the exact nature of the problems at hand and how best to solve them in context. The learning experience will provide such knowledge through didactics, seminars and training programs.

The students will acquire the theoretical, methodological and technical know-how through the interdisciplinary program of studies in order to make autonomous evaluations. This capacity will be enhanced by teaching methods based on problem solving activities.

The students will be encouraged to actively participate in order to develop the ability to communicate clearly and effectively. In order to achieve this goal, not only will students discuss their theses, but lessons will include individual and group presentations, in which the modern techniques of presentation will be taught. The student will also develop an ability to interact in an international context thanks to his or her advanced knowledge on the English language.

Examination regulations, assessment and grading

The professors will use written/oral exams in order to ascertain the students’ level of progress or, when appropriate, computer and telematic instruments may be utilized.. A final grade with a maximum of 30 points, and relative to the number of credits for each course, will be assigned upon completion of the exam. Other tests included in the study plan will be evaluated on a pass/fail basis.

The final examination consists in the elaboration and discussion, before a special Commission, of an original written dissertation of a scientific nature which has been agreed upon with the student’s advising professor. The Commission is composed of at least seven members and two substitutes and is chaired by a full professor. The Degree is granted with a final grade with a maximum of 100 percentile points. This grade is based on the grade point average of the exams evaluated in relation to the credits for each exam with the addition of the final grade expressed by the Commission.

The Degree Commission may grant a maximum of seven percentage points to the final report, and if unanimous the designation cum laude.

Graduation requirements

The Degree is granted upon the completion of 120 credits.

Mode of study (full-time, part-time, e-learning, ...)

Full time study is advised even though part time is acceptable. Attendance is not mandatory, though strongly advised.

Occupational profiles of graduates with examples

FIN graduates will be able to fill high level positions as: experts of financial concerns and risk management for large and medium size financial institutions; operators in financial markets; national and international overseers; experts of quantitative analysis in national and international research agencies; functionaries in public and private agencies and institutions. Additional high-level positions are possible in the public administration, in companies, in labor unions and profession organizations, as well as in banking and insurance companies. They will be qualified as consultants in economic-quantitative, financial and actuary capacities.

Access to further studies

The Advanced degree course allows FIN graduates to further their studies in a second level university Masters program and as Doctors of research in mathematical-statistical disciplines, as well as apply for the State Actuary examination. 

Programme director or equivalent

Tabella riepilogativa regolamento

FINANCE AND INSURANCE (LM 16 & LM 83) (Regulations 2012)

Year 1
ECTS codeStudy-unitPeriodECTSOffered
183 Corporate finance 1s 9 Yes
182 Mathematical methods for risk management 1s 9 Yes
172 Statistical methods for finance 1s 6 Yes
175 Private banking and asset management 1s 6 Yes
173 Mathematical models for financial markets 2s 9 Yes
174 Economic and financial policy 2s 6 Yes
169 Econometrics 2s 6 Yes
168 Insurance law 2s 6 Yes
Total Year 57(*)  
Year 2
ECTS codeStudy-unitPeriodECTSOffered
170 Finance and insurance 1s 12 Yes
177 Financial hedging and risk management 1s 6 Yes
180 Insurance 1s 12 Yes
166 Statical models for credit scoring 2s 6 Yes
18 Elective 2s 9 Yes
20 Stage 2s 3
19 Thesis 2s 15
Total Year 2 63(*)  
Total 120  

STATISTICS FOR THE ECONOMY AND FINANCE (LM 16 & LM 83) (Regulations 2012)

 

Year 1
ECTS codeStudy-unitPeriodECTSOffered
183 Corporate finance 1s 9 Yes
182 Mathematical methods for risk management 1s 9 Yes
172 Statistical methods for finance 1s 6 Yes
175 Private banking and asset management 1s 6 Yes
173 Mathematical models for financial markets 2s 9 Yes
174 Economic and financial policy 2s 6 Yes
169 Econometrics 2s 6 Yes
168 Insurance law 2s 6 Yes
Total Year 57(*)  
Year 2
ECTS codeStudy-unitPeriodECTSOffered
170 Finance and insurance 1s 12 Yes
253 Actuarial mathematics 1s 6 Yes
18 Elective 1s 9 Yes
199 Economic time series 2s 6 Yes
200 Economic statics 2s 12 Yes
20 Stage 2s 3
19 Thesis 2s 15
Total Year 2 63(*)  
Total 120  

 

  • 253 - Actuarial mathematics
  • 312 - Actuarial mathematics
  • 250 - Corporate finance
  • 183 - Corporate finance
  • 311 - Corporate finance
  • 191 - Corporate finance
  • 251 - Econometrics
  • 169 - Econometrics
  • 261 - Econometrics
  • 847 - Econometrics
  • 252 - Economic and financial policy
  • 174 - Economic and financial policy
  • 264 - Economic and financial policy
  • 193 - Economic and financial policy
  • 200 - Economic statics
  • 266 - Economic statics
  • 199 - Economic time series
  • 313 - Economic time series
  • 254 - Finance and insurance
  • 170 - Finance and insurance
  • 262 - Finance and insurance
  • 185 - Finance and insurance
  • 177 - Financial hedging and risk management
  • 187 - Financial hedging and risk management
  • 180 - Insurance
  • 194 - Insurance
  • 198 - Insurance law
  • 168 - Insurance law
  • 260 - Insurance law
  • 184 - Insurance law
  • 245 - Mathematical methods for risk management
  • 182 - Mathematical methods for risk management
  • 309 - Mathematical methods for risk management
  • 939 - Mathematical methods for risk management
  • 246 - Mathematical models for financial markets
  • 173 - Mathematical models for financial markets
  • 263 - Mathematical models for financial markets
  • 188 - Mathematical models for financial markets
  • 249 - Private banking and asset management
  • 175 - Private banking and asset management
  • 265 - Private banking and asset management
  • 190 - Private banking and asset management
  • 166 - Statical models for credit scoring
  • 195 - Statical models for credit scoring
  • 248 - Statistical methods for corporate finance
  • 310 - Statistical methods for corporate finance
  • 172 - Statistical methods for finance
  • 189 - Statistical methods for finance
  • Approfondimenti