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The Bachelor’s Degree in Data Science and Management at Universidade Europeia provides a strong foundation that combines data analysis skills with business management expertise. This programme prepares you to meet the demands of today’s world, where technology and information are key to strategic decision-making.
In the Data Science degree, you will:
| Campus-based | Oriente Green Campus | 3 years, 180 ECTS | Start: September 2025 | Faculty of Social Sciences and Technology |
1st SEMESTER
| Course Units | Total Contact Hours | ECTS |
|---|---|---|
| Mathematical Analysis I | 57 | 6 |
| Linear Algebra and Applications | 57 | 6 |
| Programming Fundamentals | 57 | 6 |
| Principles of Economics | 57 | 6 |
| Principles of Management | 57 | 6 |
2nd SEMESTER
| Course Units | Total Contact Hours | ECTS |
|---|---|---|
| Mathematical Analysis II | 57 | 6 |
| Exploratory Data Analysis | 57 | 6 |
| Data Structures and Algorithms | 57 | 6 |
| Organizational Behavior and Leadership | 43 | 6 |
| Management Accounting | 57 | 6 |
3rd SEMESTER
| Course Units | Total Contact Hours | ECTS |
|---|---|---|
| Topics in Probability and Statistics | 57 | 6 |
| Discrete Mathematics | 57 | 6 |
| Databases and Information Sources in Management | 57 | 6 |
| Financial Analysis | 57 | 6 |
| Principles of Marketing | 43 | 6 |
4th SEMESTER
| Course Units | Total Contact Hours | ECTS |
|---|---|---|
| Applied Statistics | 57 | 6 |
| Optimization | 57 | 6 |
| Programming for Data Science | 57 | 6 |
| Corporate Finance | 57 | 6 |
| Operations and Logistics Management | 57 | 6 |
5th SEMESTER
| Course Units | Total Contact Hours | ECTS |
|---|---|---|
| Econometric Models | 57 | 6 |
| Artificial Intelligence | 57 | 6 |
| Business Intelligence & Big Data | 57 | 6 |
| Financial Markets and Instruments | 57 | 6 |
| Strategy | 57 | 6 |
6th SEMESTER
| Course Units | Total Contact Hours | ECTS |
|---|---|---|
| Forecasting | 57 | 6 |
| Machine Learning & Applications | 57 | 6 |
| Applied Project | 57 | 12 |
| Elective | 43 | 6 |
Requirements:
Mathematics A (16) and Physics and Chemistry (07)
or
Mathematics (16) and Economics (04)
Candidates who hold non-Portuguese qualifications that are legally equivalent to Portuguese secondary education may, under the terms and conditions laid down in the legislation, replace the entrance exams with final exams in subjects from those courses.
Our professors’ excellence in data science and management is proven by their integration in research centres of recognized quality, scientific production of recognized merit, and relevant teaching experience.
Fernando Gonçalves
Coordinator
PhD in Mathematics and Statistics from the University of Edinburg. He was a post-doctoral fellow at the Foundation for Science and Technology and a Visiting Fellow at the Mathematical Sciences Institute of the Australian National University. He has a postgraduate degree in Business Sciences from ISCTE-IUL and a degree in Economics, specialisation in Planning and Quantitative Methods, from ISEG, Universidade de Lisboa.
Filipe Ramos
Coordinator
Doctorate degree in Management, specializing in Quantitative Methods, and Master‘s degree in Financial Mathematics, both from ISCTE-Business School and FCUL, Universidade de Lisboa. Master’s degree in Mathematics Teaching from FCT, Universidade Nova de Lisboa, and a Licentiate degree in Mathematics (Teaching) from FCUL, Universidade de Lisboa.
José Cruz
Coordinator
Doctorate Degree in Applied Mathematics for Economics and Management from ISEG, Universidade de Lisboa (2020), with thesis intitled "Option Pricing in Illiquid Markets with Jumps", supervised by Daniel Sevcovic and Maria do Rosário Grossinho. Master´s degree in Financial Mathematics (2013), with a thesis intitled "Integro-Differential Equations for Option Pricing in Exponential Levy Models", and a Licentiate degree in Applied Mathematics for Economics and Management both from the same institution.
DSPA
The DSPA is a non-profit association dedicated to promoting and advancing Data Science in Portugal and internationally. It fosters best practices, professional training, strategic research, and represents the sector before public and private institutions.
OpenBB
OpenBB is a leading open-source platform for investment analysis, serving millions of investors who seek to harness advanced data science and machine learning to interpret raw, unstructured data. Its mission is to make investment research more effective, powerful, and accessible to all.
Candidates interested in joining the Universidade Europeia can apply throughout the year.
The application process is limited by existing vacancies and the suitability of the candidate's profile to the study cycle of interest.
To start the Admission Process, the candidate must follow these 3 steps.
1
Schedule a clarification conversation with an Admissions Advisor
3
Proceed with the formalization of the application, in person or online
Approved by A3ES on 15/06/2022
Self-Assessment Report of the Bachelor´s Degree in Data Science and Management
Registration R/A -Cr 147/2022, dated 16/07/2022
OrderNo. 5501/2023, dated May 11, 2023, II Series No. 91 D.R.