In partnership with:
Post-Graduation | Master Statistical Systems Specialization in Central Banks Statistics
ISEGI-NOVA The NOVA School of Statistics and Information Management (ISEGI-NOVA) is an organic unit of Universidade Nova de Lisboa. It is a research based school and the first institution in the Iberian Peninsula to integrate iSchools, an international organization that brings together the best universities in research and teaching in the area of information management. ISEGI-NOVA offers bachelor, post-graduate, master and doctoral courses in the areas of information management and information systems and technologies. For more information please consult the following link: www.isegi.unl.pt/index.asp?lang=EN.
Introduction The post-graduate course in Statistical Systems, with specialization in Central Banks Statistics, was developed in a close collaboration between ISEGI-NOVA and the Bank of Portugal in order to endow the experts and managers who work with central banks statistics (either as producers, analysts or users of statistical information) with the fundamental knowledge and skills to the development of their activity. Anchored in the latest techniques and statistical methodologies, the course places a special emphasis on the collection and elaboration of monetary, financial, foreign exchange and balance of payments statistics, as well as any other statistics produced by central banks.
Objectives
Target
The specific objectives of this course are the training of managers and experts who will be able to:
The course targets staff of central banks, including producers, analysts or users of statistical information.
• Develop data collection techniques and methodologies; • Master the tools and processes used for the storage, organization and access to information in an entity with the responsibility for the production of central banks statistics;
The course is also addressed to all those interested in central banks statistics, particularly employees in statistical departments of banks and other financial institutions, as well as in national statistical offices and other statistical authoritites.
the various statistical and • Apply computational methodologies and tools for the exploration and analysis of information, to produce official statistics with added value to the process of decision making;
Coordination
• Organize and communicate results, both in a written form and orally, adapting them to the level and specific interests of the audience.
• João Cadete de Matos • Maximiano Pinheiro • Pedro Simões Coelho
NOVA School of Statistics and Information Management
In partnership with:
Post-Graduation | Master Statistical Systems Specialization in Central Banks Statistics
Study Plan The course offers 16 optional curricular units, totalizing 96 ECTS. To complete the post-graduation, students must obtain a minimum of 60 ECTS, corresponding to the completion of 10 curricular units. Students can enroll in a maximum of 12 curricular units, in a total of 72 ECTS.
Fall Semester
Spring Semester
Curricular Unit (UC)
ECTS
Curricular Unit (UC)
ECTS
Multivariate Data Analysis
6
Business Intelligence - Analytics
6
Sampling and Estimation
6
National Accounts
6
Business Intelligence - Data warehousing
6
Applied Econometrics and Forecasting
6
Computational Statistics I
6
Computational Statistics II
6
Central Banks Statistics
6
People Leadership and Management
6
Databases Management
6
Financial Report
6
Statistical Systems Management
6
Research Seminar*
6
Inquiry Methodologies
6
Statistical Treatment of Data
6
*UC mandatory for students that intend to obtain a Master degree.
Academic Calendar and Timetable
Applications and Applicants’ Selection
The course lasts for two academic semesters, with each curricular unit having a lecturing load of two hours per week.
Applications must be submitted in the online Applications’ Portal of ISEGI-NOVA, during the application phase, from 4th of June until 18th of July, in the following link: www.isegi.unl.pt/candidaturas.
Classes will take place after work (after 6pm), two to three times per week, starting in September 2013 and ending in May 2014.
The selection process is based on the analysis of the academic and professional curriculum of the candidates and on an interview.
NOVA School of Statistics and Information Management
1ª Edição: 2013-2014
The post-graduation gives access to the Master in Statistics and Information Management, with specialization in Analysis and Information Management. To obtain the Master degree students must present a scientific thesis or a project work, carried out in the third semester, which corresponds to 35 additional credits.