Specialization in Data Science
Education objectives
The Master Degree Program in Data Science and Advanced Analytics, with a specialization in Data Science, is aimed at technically oriented people with solid scientific background, who want to strengthen and deepen their skills on the most used paradigms and environments for software development, and apply them to solve complex real-world problems involving vast amounts of data.
The best students of the 1st year of the Master in Data Science and Advanced Analytics will be invited for a 6 month paid internship, to be held during the 2nd year, in one of the following institutions: Accenture, BI4ALL, Feedzai, Future Healthcare, Grupo Ageas Portugal, iFood, Izertis, Millennium BCP, NOVA IMS, SAS and Tranquilidade.
This Program will provide a set of interdisciplinary skills and tools such as:
- Understanding of the main paradigms associated with large databases and data warehouses;
- Understanding the processes of decision making;
- Mastering data mining tools, in particular for "Big Data" related problems;
- Mastering the processes of creation and maintenance of descriptive and predictive models;
- Recognizing and applying the most effective analytical models to different business cases;
- Interpreting models and their implications to the business.
Applications - 1st 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. The selection process is based on the analysis of the applicant's academic and professional curriculum. The members of the Admissions’ Jury Panel may decide to hold an interview with all or some applicants - face-to-face or videoconference.
The applications for this program, for the 2025/2026 academic year, are open from January 1st to February 3rd, 2025. To apply, click here.
General characterization
DGES code
MB68
Cicle
Specialization Area
Degree
Master
Access to other programs
This Master Degree gives acess to a Doctoral Program, confirm ours here.
Coordinator
Roberto Henriques
Opening date
September 2025
Vacancies
105
Fees
€6.200 for applicants with a nationality from a European Union member country; €8.000 for applicants of other nationalities.
Schedule
Working Hours
Teaching language
English
Degree pre-requisites
This program lasts 4 semesters: 3 correspond to the curricular component and 1 to the development of a thesis or work project, in a total of 120 ECTS.
Conditions of admittance
The requirements for the applications are: a degree in a compatible field (complete until September); analysis of the applicants' academic and professional curriculum.
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 |
200179 | Machine Learning | 7.5 |
200174 | Storing and Retrieving Data | 4.0 |
200175 | Data Mining | 7.5 |
200178 | Statistics for Data Science | 7.5 |
200211 | Programming for Data Science | 3.5 |
200179 | Machine Learning | 7.5 |
200174 | Storing and Retrieving Data | 4.0 |
200175 | Data Mining | 7.5 |
200178 | Statistics for Data Science | 7.5 |
200211 | Programming for Data Science | 3.5 |
200179 | Machine Learning | 7.5 |
200174 | Storing and Retrieving Data | 4.0 |
200175 | Data Mining | 7.5 |
200178 | Statistics for Data Science | 7.5 |
200211 | Programming for Data Science | 3.5 |
2º year - Autumn semester | ||
---|---|---|
Code | Name | ECTS |
200290 | Dissertation/ Work Project | 54.0 |
200289 | Research Methods | 6.0 |
200290 | Dissertation/ Work Project | 54.0 |
200289 | Research Methods | 6.0 |
200290 | Dissertation/ Work Project | 54.0 |
200289 | Research Methods | 6.0 |