Language
English
Tuition fees*
Nacional: 1500€
International: 5000€
CPLP International: 2750€
Schedule
After work
Duration
2 years
Applications
From 3rd January to 13th February 2025
Beginning of the programme
September
* Tuition fees for the academic year 2024/25 (Full Tuition Fee). More information here.
Director of the Master in Data Analytics
Masters > Master in Data Analytics
1st Year
1st Semester | |
---|---|
Name | Credits |
Data Mining I | 6 |
Data Bases and Programming | 6 |
Applied Statistics | 6 |
Data Analysis | 6 |
Laboratory | 6 |
2nd Semester | |
---|---|
Name | Credits |
Data Mining II | 6 |
Optimization | 6 |
Forecasting Methods and Time Series | 6 |
Electives to be chosen subject to the approval by the Scientific Committee of the programme | 12 |
2nd Year
1st Semester | |
---|---|
Name | Credits |
Seminars | 6 |
Quantitative Case Studies | 9 |
Dissertation/Work Project/Internship Plan | 9 |
Electives to be chosen subject to the approval by the Scientific Committee of the programme | 6 |
2nd Semester | |
---|---|
Name | Credits |
Dissertation/Work Project/Internship | 30 |
Masters > Master in Data Analytics
Target group
Students or professionals with basic knowledge of statistics who wish to consolidate and deepen skills to:
- extract and analyse information from large data sets (big data) in order to support informed decision-making;
- develop business intelligence systems;
- intend to pursue 3rd cycle studies in areas requiring quantitative analysis.
Student profile
Data referring to the 2022/2023 academic year.
Masters > Master in Data Analytics
Career opportunities
The knowledge and techniques provided by this master are applicable to any sector and area of activity. Some examples are: distribution, retail, telecommunications, banking, insurance, manufacturing, transport and health.
EMOS
Students have access, under certain conditions, to the EMOS (European Master in Official Statistics) qualification. EMOS was established by Eurostat and the European Statistical System (ESS) in 2014 with the objectives of incorporating the subject of official statistics into the curricula in order to meet training needs and to provide a basis for the recruitment of highly qualified statistical professionals for the ESS and for the European System of Central Banks (ESCB).
More info here.
Masters > Master in Data Analytics
Rankings
In 2024 the Master’s Degree was considered by Eduniversal as the 9th best Master’s programme in the field of Data Analytics in Western Europe.
The Master’s degree is in the +101st position of QS Business Masters Rankings 2024, which lists the best programmes in the world in the area of Business Analytics.
Masters > Master in Data Analytics
Testimonials
“I decided to enroll in the Master in Data Analytics because I wanted to expand the analytical knowledge gained during the bachelor’s in Economics at FEP. With this master, I learned advanced Data Analysis and Data Mining techniques that allowed me to extract useful information from Big Data to solve complex problems. I consider this master a great investment, as Data Science experts are in need in nearly every job sector and there is a shortage of people with the necessary skills to take those positions. Hence, if you have a passion for math, statistics and information systems, I kindly advise this master to be the next step in your academic path.”
“My decision to enrol the Data Analytics Master was motivated by the wide range and relevance of the subjects covered. My expectations were fully met. The excellence of the Faculty has enhanced the acquisition of skills. The heterogeneity of student affiliations has enriched discussions and expanded my network of contacts to new groups. Overall, it was an enriching experience which resulted in significant personal and professional development.”