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Master in Data Science and Engineering
General information
| Official Code: | MA58 |
| Acronym: | MECD |
| Description: | The Master's degree in Data Science and Engineering (MDSE) aims to offer advanced scientific and professional training in Engineering and Data Science and is designed for professionals who seek to update their skills, as well as for those who seek to acquire new skills and current knowledge in Engineering and Data Science. |
Certificates
- Master in Data Science and Engineering (120 ECTS credits)
- Specialization in Data Science and Engineering (90 ECTS credits)
Local Applications
Application Deadlines and Vacancies
| Edition | Calls for Application by Type | Scheme | VACANCIES | Deadlines |
|---|---|---|---|---|
| Entrada em 2º ciclos de estudo | Admission - 2nd cycle of studies admission | 7 | 2025-07-01 to 2025-08-13 | |
| 1 | Reingresso | Re-Admission | - | 2025-06-02 to 2025-07-07 |
| 1 | Reingresso | Re-Admission | - | 2025-07-08 to 2025-08-13 |
Courses Units
Fundamentals of Data Science and Engineering
MECD01 - ECTS
Introduction to machine learning and data mining
MECD02 - ECTS
Analytical decision support systems
MECD03 - ECTS
Data Preparation and Visualization
MECD04 - ECTS
Data Warehouses
MECD05 - ECTS
Big Data Engineering
MECD07 - ECTS
Artificial Intelligence
MECD06 - ECTS
Data science & engineering lab
MECD08 - ECTS
Analysis of Complex Data
MECD11 - ECTS
Entrepreneurship
MECD17 - ECTS
Preparation of Dissertation
MECD12 - ECTS
Advanced Topics on Decision Support
MECD16 - ECTS
Advanced Topics on Machine Learning
MECD10 - ECTS
Advanced Topics on Artificial Intelligence
MECD14 - ECTS
Advanced Topics on Intelligent Systems
MECD15 - ECTS
Computer Vision
MECD09 - ECTS
Dissertation
MECD13 - ECTS
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Page generated on: 2025-06-16 at 10:06:20 | Acceptable Use Policy | Data Protection Policy | Complaint Portal
Page generated on: 2025-06-16 at 10:06:20 | Acceptable Use Policy | Data Protection Policy | Complaint Portal