Computing
MASTER'S DEGREE
ABOUT THE COURSE
Result of the accreditation process by the Agency for Assessment and Accreditation of Higher Education (A3ES) • Decision: Accredited • Number of years of accreditation: 6 • Validity period of accreditation: 31/07/2031 • A3ES Resolution • Self-assessment report
Specialization: Advanced Intelligent Sensory Systems (S2IA)
Maximum number of admissions: 20
Context and objectives
The Master's degree in Computer Engineering aims to deepen technical and scientific skills in the field of information technologies, with particular emphasis on the application of artificial intelligence and machine learning, intelligent IoT systems, web systems and mobile applications, and cybersecurity. It intends to prepare professionals to develop applied and innovative IT solutions, suited to new technological challenges, based on Artificial Intelligence (AI) and Machine Learning (ML).
Career opportunities
• Web and mobile application development with AI/ML integration;
• Development and management of sensory and intelligent IoT systems;
• Technological consulting in intelligent, complex and secure systems;
• Analysis and design of distributed systems with microservices and intelligent agents;
• Planning complex systems in service, technology and innovation companies;
• Planning, management and documentation of research and development (R&D).
What sets this master's program apart?
• Technical and applied training in the areas of artificial intelligence/machine learning, IoT, web and mobile applications, advanced distributed systems, and cybersecurity;
• Guidance towards combining multiple AI/ML technologies to solve real-world problems;
• Strong connection to the practices and technologies of the technology and business market;
• Integrating scientific methodology into solving real-world problems in collaboration with companies;
• Availability of scholarships from partner companies and funded R&D projects.
Curriculum Plan
2nd Cycle (Master's Degree) • 4 semesters • 120 ECTS
According to information from DGES
Scientific area: Computer Science • Electronics and automation
1st Year • 1st Semester
| Course Unit | ECTS |
|---|---|
| Applied Machine Learning | 6 |
|
Option 1 (Choice Range): Cybersecurity • Data Science • 3D Modeling and Animation • Wireless Sensor Networks |
6 |
|
Option 2 (Choice Range): Cybersecurity • Data Science • Wireless Sensor Networks • 3D Modeling and Animation |
6 |
| Intelligent Sensory Systems | 6 |
| Semantic Web and Web 3.0 | 6 |
1st Year • 2nd Semester
| Course Unit | ECTS |
|---|---|
| Smart Mobile Applications | 6 |
|
Option 3 (Choice Range): Virtual and Augmented Reality • Mobility in Heterogeneous Networks • Digital Transformation • Data Science |
6 |
|
Option 4 (Choice Range): Digital Transformation • Virtual and Augmented Reality • Mobility in Heterogeneous Networks • Data Science |
6 |
| Advanced Distributed Systems | 6 |
| Applied Computer Vision | 6 |
2nd Year • 1st Semester
| Course Unit | ECTS |
|---|---|
| Methodology for Preparing a Master's Thesis | 12 |
| Integrated Master's Project | 18 |
2nd Year • 2nd Semester
| Course Unit | ECTS |
|---|---|
|
Final Project (Optional): Project Work • Dissertation • Internship and Final Report |
30 |
Coordination
Professor Doctor Rui Silva Moreira
Request information about the course:
ERASMUS+ EXCHANGE
Students at the Fernando Pessoa University (UFP) who meet the eligibility criteria have the opportunity to undertake periods of study and/or internships through international mobility programs.
International student study periods are carried out at higher education institutions outside of Portugal with which UFP maintains student exchange agreements under the Erasmus+ Program (within the European area), or other existing bilateral exchange agreements.
Information regarding mobility/exchange programs is available through the International Relations Office. (connection).
APPLICATION REQUIREMENTS
Before proceeding with your application, please review the complete Application Conditions, where you will find information about academic requirements and necessary documentation. On the same page, you can check the Timeline with submission deadlines, the Application Submission process, the steps for Enrollment, any relevant Observations, and the number of available places. Everything is clearly organized to guide you through each stage of the process.
PRECARIOUS
In addition to the application requirements, it is equally important to consult the information regarding fees, tuition, and charges applicable to master's degree programs. On this page, you will find a section dedicated to tuition fees for master's programs, as well as other relevant information about credit transfers, charges, and fees associated with different academic services.
Employability & Academic Success
To help better understand the academic outcomes and professional integration of UFP graduates, the most recent report on Employability and Academic Success is available. This document contains concrete data on the employability rates of graduates from master's programs and other study cycles, as well as academic success rates for the 2023/24 academic year.