NOVA Information Management School

Postgraduate Program in Statistical Systems with a specialization in Central Banks

Cycle

Curso de Pós-graduação

Degree

Not awarded

This path is an option of

ECTS Coordinator

Pedro Miguel Pereira Simões Coelho

Education objectives

The postgraduate program in Statistical Systems, with a specialization in Central Banks’ Statistics, was developed in close collaboration with Banco de Portugal, in order to provide managers and technical sta that work in central banks statistics, either as producers, as analysts or users of statistical information, the fundamental knowledge and skills to the development of their activity.

This program, accredited by European Statistical System with the EMOS (European Master of Official Statistics) seal, places special emphasis on the collection and compilation of monetary, nancial, foreign exchange, and balance of payments statistics, including those arising directly from the participation of Banco de Portugal in the European System of Central Banks (ESCB).

The program places special emphasis on the collection and compilation of monetary, financial, foreign exchange, and balance of payments statistics, including those arising directly from the participation of the Banco de Portugal in the European System of Central Banks (ESCB).

The programme is addressed to all those interested in central banks' statistics, particularly employees in statistical departments of banks and other nancial institutions, as well
as in national statistical oces and other statistical authoritites.

The program trains technical staff and managers to:  

- Develop techniques and methodologies of data collection;

- Master the tools and processes used for the storage, organization, and access to information in an entity responsible for the production of statistics of central banks;

- Apply the statistical and computational methodologies and tools of exploration and analysis of information, to produce official statistics that can add value to decision making;

- Communicate results in written form or orally, adapting them to the level and specific interests of the audience.

Applications - academic year 2018-2019
To complete the application, the applicant must register in NOVA IMS' Applications Portal, fill the form, upload their Curriculum Vitae, pay the application fee (€ 51), and submit the application in the end, until July 5th, 2018. The selection process is based on the analysis of the applicant's academic and professional curriculum.

Access conditions

The requirements for the applications are: a degree in a compatible field (complete until September 2018); analysis of the applicants' academic and professional curriculum.

Degree pre-requisites

The program offers 17 elective course units, which correspond to 106,5 ECTS. To earn the postgraduate program diploma, students must complete 60 ECTS. Students can enroll up to 75 ECTS.

Access to other courses

The postgraduate course gives access to the master degree program in Statistics and Information Management, with a specialization in Information Analysis and Management, upon the development and presentation of a scholarly thesis, or work project or undertake an internship (subject of a final report) and the approval of the course unit Research Methodologies. 

Evaluation rules

Structure

1º year - Autumn semester
Code Name ECTS
Options
200011 Business Intelligence 6.0
400001 Applied Econometrics and Forecasting 6.0
400004 Business Intelligence - Datawarehousing 6.0
400005 Computational Statistics I 6.0
400007 Databases Management 6.0
400012 Management of Statistical Systems 6.0
400013 Multivariate Data Analysis 6.0
400015 Sampling and Estimation 6.0
400017 Statistics of Central Banks 6.0
400070 Descriptive Data Mining 6.0
400071 Métodos Estatísticos 6.0
1º year - Spring semester
Code Name ECTS
Options
400006 National Accounts 6.0
400008 Computational Statistics II 6.0
400010 Data Collection, Administrative Sources and Big Data 6.0
400014 Financial Reporting 6.0
400018 Statistical Treatment of Data 6.0
400023 Leadership and People Management 6.0
400072 Predictive Data Mining 6.0