Postgraduate Program in Statistical Systems with a specialization in Official Statistics

Education objectives

The postgraduate program in Statistical Systems, with a specialization in Official Statistics, aims at endowing technical staff and managers who work in the scope of the National Statistical System (NSS), either as producers or as analysts or users of statistical information, the knowledge and skills crucial to the exercise of their activity.

This program, accredited EMOS (European Master in Ocial Statistics) by European Statistical System, offers specialized training in official statistics, particularly in the production of statistics that cover the statistical activity of NSS and of the international organizations of which Portugal is a member.

The program is aimed to employees of the organization that take part of the National Statistical System of Portugal and the Portuguese-speaking countries. The program is also addressed to everyone who is interested in official statistics, including the employees of any other organizations with interests in this field and the general public.

The main goal of this program is training managers and experts 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 with responsibility for the compilation of statistics;

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

Applications - 3rd call
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 from April 9th to May 7th, 2024. The selection process is based on the analysis of the applicant's academic and professional curriculum.

General characterization

DGES code

E027

Cicle

Postgraduate programmes

Degree

None

Access to other programs

The postgraduate program gives access to the Master Degree in Statistics and Information Management, with a specialization in Information Analysis and Management, upon the development and presentation of a scholarly thesis or a work project and the approval of the course unit Research Methodologies. 

Coordinator

Pedro Miguel Pereira Simões Coelho

Opening date

September 2024

Vacancies

Fees

€4.500

Schedule

After Working Hours

Teaching language

English

Degree pre-requisites

The program offers 20 elective course units, which correspond to 114,5 ECTS. To earn the postgraduate program diploma, students must complete 60 ECTS. Students can enroll up to 75 ECTS.

Conditions of admittance

To enter this program, applicants must meet the following requirements: hold a bachelor’s degree in a compatible field (completed by September 2024); be proficient in English (spoken and written).

Evaluation rules

The assessment method will be continuous assessment, i.e. through individual or group work, projects, quizzes, tests/exams, etc.

At the beginning of each academic year, it is up to each teacher of each Curricular Unit (CU) to define how assessment will be carried out in their CUs, and this information is then made available via the student platform.

Structure

1º year - Autumn semester
Code Name ECTS
Options
400013 Multivariate Data Analysis 6.0
200191 Time Series Analysis 4.0
400131 Business Intelligence 7.5
200026 Data Mining I 7.5
400005 Computational Statistics I 6.0
400155 External Statistics and Globalization 6.0
400154 Monetary and Financial Statistics 6.0
400007 Databases Management 7.5
200088 Forecasting Methods 3.5
400013 Multivariate Data Analysis 6.0
200191 Time Series Analysis 4.0
400131 Business Intelligence 7.5
200026 Data Mining I 7.5
400005 Computational Statistics I 6.0
400155 External Statistics and Globalization 6.0
400154 Monetary and Financial Statistics 6.0
400007 Databases Management 7.5
200088 Forecasting Methods 3.5
1º year - Spring semester
Code Name ECTS
Options
400015 Sampling and Estimation 7.5
200198 Analysis of Discrete Data 4.0
200205 Analysis of Variance 4.0
400157 Statistical Comunication 3.0
400006 National Accounts 6.0
200028 Data Mining II 7.5
400008 Computational Statistics II 6.0
400156 Data Management for Official Statistics 3.0
200090 Econometrics Methods 7.5
400010 Data Collection, Administrative Sources and Big Data 6.0
400014 Financial Reporting 6.0
400018 Statistical Treatment of Data 6.0
400015 Sampling and Estimation 7.5
200198 Analysis of Discrete Data 4.0
200205 Analysis of Variance 4.0
400157 Statistical Comunication 3.0
400006 National Accounts 6.0
200028 Data Mining II 7.5
400008 Computational Statistics II 6.0
400156 Data Management for Official Statistics 3.0
200090 Econometrics Methods 7.5
400010 Data Collection, Administrative Sources and Big Data 6.0
400014 Financial Reporting 6.0
400018 Statistical Treatment of Data 6.0