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 |