Master in
Data Analytics
The Master in Data Analytics trains professionals who are able to transform data into strategic knowledge, supporting more informed and effective decision-making in a data-driven world. With a strong applied component in statistics, data mining and advanced analysis, the programme prepares students to work in any sector, from banking and insurance to industry, healthcare, transport and retail. Under certain conditions, it also grants access to the EMOS qualification, which enhances international visibility and employability at the European level.
The Master in Data Analytics trains professionals who are able to transform data into strategic knowledge, supporting more informed and effective decision-making in a data-driven world. With a strong applied component in statistics, data mining and advanced analysis, the programme prepares students to work in any sector, from banking and insurance to industry, healthcare, transport and retail. Under certain conditions, it also grants access to the EMOS qualification, which enhances international visibility and employability at the European level.
Duration
2 years
Start
September
Schedule
After work
Format
On campus (Porto)
Language
English
Total credits
120 ects
Tuition fees
National students, European
Union and European
Economic Area students
2 250 € / year
CPLP International
Students
3 500 € / year
International
Students
5 750 € / year
National students, European Union and European Economic Area students
2 250 € / year
CPLP International
Students
3 500 € / year
International
Students
5 750 € / year
Annual fees for the 2026/27 academic year (full-time), subject to confirmation. All fee amounts and related information can be consulted at the following link:
Programme structure
1st YEAR
1st SEMESTER
Data Mining I (6 ects)
Laboratory (6 ects)
Data Bases and Programming (6 ects)
Applied Statistics (6 ects)
Optimization (6 ects)
2nd SEMESTER
Data Mining II (6 ects)
Forecasting Methods and Time Series (6 ects)
Data Analysis (6 ects)
Electives (12 ects)
2nd YEAR
1st SEMESTER
Seminars (6 ects)
Quantitative Case Studies (9 ects)
Dissertation / Work Project / Internship Plan (9 ects)
Electives (6 ects)
2nd SEMESTER
Dissertation / Project / Internship * (30 ects)
* Students who complete the taught component of the master’s programme receive a master’s course diploma that does not confer a degree. The award of the master’s degree requires passing all taught modules and successfully defending the dissertation/project/internship in a public examination.
Information for applicants
*The enrollment period for students completing their Bachelor’s degree extends until 24/07/2026
Information for applicants
Applications – 1st Call
From 07/01/2026 to 11/02/2026
Provisional results
23/03/2026
Final results
14/04/2026
Enrollment
From 16/04/2026 to 20/05/2026 *
*The enrollment period for students completing their Bachelor’s degree extends until 24/07/2026
Student profile
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.
Data relating to students enrolled in the 2024/25 academic year.
Message from the Director
Decision-making processes within companies and other organizations rely heavily on the knowledge that decision makers have about the reality where the company acts (markets, customers, producers, etc.). Much of this knowledge can be drawn from data resulting from normal business activity that are continuously accumulated by transactional information systems. Efficient and effective analysis and processing of such data for actionable knowledge may result in better performance of the organization.
The data analysis process includes various statistical and data mining (data exploration) techniques, specifically targeted for the extraction of actionable knowledge from large volumes of existing data. All that knowledge extracted from the data provides, ultimately, support in decision making.
According to a recent report by the McKinsey Global Institute this is the age of analytics since companies and other organizations are competing in a data driven world.
Rankings and recognitions
EDUNIVERSAL
The Master in Data Analytics is ranked 7th in the Eduniversal Masters Ranking 2025 among the best Data Analytics programmes in Western Europe.
QS BUSINESS MASTERS
The Master in Data Analytics is ranked between 101st and 150th in the QS Business Masters Rankings 2026 for the world’s best Business Analytics programmes.
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).
International programmes
DOUBLE DEGREES
Subject to a selection process, students enrolled in the Master in Data Analytics may spend two semesters in Warsaw at SGH – Warsaw School of Economics and, upon completion of the programme, obtain two degrees.
QTEM
The QTEM programme is designed to educate and train future decision-makers. International experience, academic excellence, and practical relevance for management and economic policy are its distinguishing features. Through the programme, students gain:
- Excellent skills in analytical and quantitative techniques
- Experience in real-world decision-making challenges in management and economic policy
- Experience in international environments
- A specialisation that adds value to the master’s degree
- Exclusive access to the QTEM Corporate Partners network, through meetings, CV database, and other services
Testimonials
Juliana Machado
“This programme gave me the opportunity to delve deeply into techniques for analyzing and understanding patterns in data. I gained expertise in advanced data analysis and data mining techniques, algorithms for optimization, and enhanced my statistical knowledge. This significantly boosted my maturity and fluency in the field of data science. One of the program’s greatest strengths was its integration into the European Master in Official Statistics (EMOS) network. Choosing this path provided me with specialized education in official statistics at the European level. It also opened doors to remarkable opportunities, including participating in international competitions in Brussels with teams from across Europe. Additionally, I had the privilege of completing an internship at Banco de Portugal, which culminated in an applied project that became my master’s thesis. This work was recognized and awarded by Eurostat, marking a significant milestone in my academic and professional journey.”
Andreia Conceição
“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.”
Pedro Costa
“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.”
Ready to take the next step?
Ready to take the next step?
Contact
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