Information for  international students

Course Name STATISTICS AND INFORMATICS FOR BUSINESS AND FINANCE
Course Code LM
Department Department of Economics, Statistics and Finance
MIUR Code LM-82
Duration 2
Website http://www.ecostat.unical.it/Didattica/Statistica/SIEF/index.htm

http://www.unical.it/portale/international/

http://unical.it/portale/ateneo/progetti/ects/
Specific Admission Requirements Admission requirements In order to be admitted to Master Degree in Statistics and Informatics for Business and Finance a candidate must have a First Level Degree or University Diploma of at least three years duration, or other equivalent academic qualifications obtained abroad. In particular, the access to Master Degree is open to students holding a degree of the classe 37 (Statistics), or equivalent degrees (Ministerial Decree no. 509/99); and of the classe L-41 (Statistics), or equivalent degrees (Ministerial Decree no. 270/04)
Profile of the programme Profile of the Degree The Degree aims at forming specialists with: - deep knowledge of the methods and statistical models used by banks and firms for evaluating the risks of markets, credits and operational risks; - solid preparation of actuarial techniques, financial mathematics, of other methodologies applied to solve insurance, social, and financial problems; - Good preparation in statistical techniques and informatics to support operative decisions and strategic choices of firms; The study process permits to acquire the deep knowledge of statistics methodologies and actuarial and financial mathematics aimed to the analysis of insurance and financial markets as well as informatics methodologies and tools to support the firm administration, the market analysis and the evaluation of credit and market risks. The study process aims to form specialists in the field of actuarial, financial and social security techniques. The specialists will be able to apply the statistical knowledge and knowledge of informatics to decisional models for the administration of firms and markets.
Key learning outcomes Expected achievements Learning and understanding skills The student gains a deep knowledge of statistical methods and models, of actuarial techniques and financial mathematics as well as of the methodologies and techniques of informatics and statistics to support managerial decisions of firms and market analysis. Skills to apply knowledge The student develops abilities in financial and business field to plan research and solve problems under uncertainty conditions, in organisation of databases of big dimensions, in construction of statistical models that are aimed to interpret and forecast firm’s decisions and to manage the financial portfolio. Formulation of personal opinion The student develops ability to formulate personal opinion and approach critically, the skills to work in groups that enforce capacity to evaluate and to manage uncertainty, to conduct surveys, to process and interpret data related to firm and market analysis. Communication skills The student develops professional competences and necessary tools to present rigorously statistical and financial analysis and to synthesise and interpret the obtained results. Learning skills The student develops necessary skills to independently identify adequate instruments, methodologies, sources and references to strengthen the professional competences, to proceed studies and to be involved into the labour market with high degree of autonomy and solid cultural backgrounds. This permits the student to adapt and to update continually.
Specific arrangements for recognition of prior learning (formal, non -formal and informal) Modality of recognition of previous carrier (formal, non formal and informal) University Academic Regulations, Art. 35 (Enrolment on the basis of a foreign degree, paragraph 3, letter. c) University Academic Regulations, Art. 40 (Recognition of foreign academic qualifications)
Qualification requirements and regulations Requisites to obtain the degree To obtain the Master Degree in Statistics and Informatics for Business and Finance, the student must acquire 120 credits, according to the Framework of educational issues listed in Annex A of the Regulation of the Degree Course.
Occupational profiles of graduates Employment opportunities (Decrees on Classes, Article 3, paragraph 7) The employment opportunities for the graduates are open in the field of insurance and reinsurance, societies of brokerage, societies of savings and administration of savings and other institutions operating in the field of finance sphere and social security, banking supervising and pension funds. The Master Degree in Statistics and Informatics for Business and Finance are dedicated for those who wishes to access through the state examination to the profession of Actuary. Moreover, other employment opportunities are offered by private and public firms and by banks. In the firms to provide: market analysis, sails forecasting, evaluation of customer satisfaction, research and development, administration of ICT systems of the firm. In the banks to provide: market risk evaluation and evaluation of credits and operational risk. The Degree Course gives the access to the following professions: - Actuary - Statistician
Access to further studies Access to successive studies The master degree gives the access to the third cycle studies (PhD course, Specialisation Courses and second level Master courses).
Examination regulations, assessment and grading Exams and grades University Academic Regulation (Article 49) and Degree Course Academic Regulation (Article 16)
Graduation requirements Requisites to obtain the degree To obtain the Master Degree in Statistics and Informatics for Business and Finance, the student must acquire 120 credits, according to the Framework of educational issues listed in Annex A of the Regulation of the Degree Course.
Mode of study The study option (full time, part-time, distance study) the Master Degree in Statistics and Informatics for Business and Finance neither offers a part-time basis for studies, nor a distance study option.
Programme director or equivalent Prof. Agostino Tarsitano, Coordinator of course (email agostino.tarsitano@unical.it)

Prof.Ivar Massabò, Director of the Department of Economics, Statistics and Finance (Di.SESF) (email direttore.desf@unical.it ) 
Course Structure Diagram
Activities first Course Year
  SECTOR CODE ECTS    
Discrete-Time Mathematical Finance SECS-S/06 10    
Statistical Methods for Marketing Researches SECS-S/01 5    
Methodologies and Techniques for Sample Surveys SECS-S/01 10    
Statistical Methods for Market Analysis SECS-S/01 10    
Fiscal, Monetary Policy and National Accounting SECS-P/01 5    
Advanced Statistical Techniques   0    
Economic Workshop SECS-P/01 5    
Enterprise Information Systems ING-INF/05 10    
Activities second Course Year
FINAL EXAMINATION NN 20    
LOGISTICS SYSTEMS PLANNING MAT/09 10    
Computing Systems ING-INF/05 10    
Applied Demography SECS-S/04 5    
 
 
Activities first Course Year
Economic Workshop SECS-P/01 5    
Enterprise Information Systems ING-INF/05 10    
Actuarial Technique for Life Insurance SECS-S/06 10    
Statistics for Financial Market SECS-S/01 10    
Statistical Models SECS-S/01 5    
Fiscal, Monetary Policy and National Accounting SECS-P/01 5    
Advanced Statistical Techniques   0    
Discrete-Time Mathematical Finance SECS-S/06 10    
Activities second Course Year
FINAL EXAMINATION NN 20    
Applied Demography SECS-S/04 5    
Pensions Mathematics SECS-S/06 5    
Risk Theory SECS-S/06 5    
Continuous-Time Mathematical Finance SECS-S/06 10