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Master in Artificial Intelligence

At the heart of the technologies redefining the digital world

About the Course

What is the Master's Degree in Artificial Intelligence?

Artificial Intelligence (AI) shows great potential for social transformation and for shaping the way we perceive the world and interact with each other and with machines. With an impact on sectors as diverse as healthcare, industry, finance, mobility, and communications, AI has applications in a wide range of business operations, including decision support, predictive maintenance, marketing, content creation, logistics efficiency, and public policy support.

Our master's degree covers the latest developments in the field of AI, offering a wide variety of courses. It also recognizes the ethical and social implications of AI progress, exploring issues such as privacy, transparency, and accountability.

Designed for graduates and professionals with a background in artificial intelligence, data science, computer engineering, computer science, and related fields, the Master's in Artificial Intelligence allows you to deepen your knowledge and experience to take advantage of opportunities in this exciting, challenging, and rapidly evolving field.

Who is this master's degree intended for?

This AI program is designed for recent graduates and industry professionals seeking to improve their technical and scientific knowledge and skills in artificial intelligence and data science, broaden their range of cross-cutting and complementary skills (including soft skills), and position themselves for highly demanding professional roles in a challenging and constantly changing world.

In particular, the proposed program is well suited to the following target audience:

– Graduates in the general areas of computer engineering and computing, computer science, and electrical and computer engineering who wish to complement their knowledge by specializing in techniques and general issues related to AI;

– Experienced professionals with a background in computer engineering and computer science who wish to broaden the scope of their skills in order to increase their ability to respond to the technological challenges of their profession.

Essential Information

Two years of advanced training with national and international recognition

Duration: 2 years

Structure: M:IA has a curriculum component of 72 ECTS and a dissertation component of 48 ECTS.

Accreditations: The study cycle is accredited by the Agency for Assessment and Accreditation of Higher Education (A3ES).

This master's degree is jointly run by FCUP and FEUP.

Career Opportunities

Artificial Intelligence is redefining entire industries, creating unprecedented demand for qualified specialists. Our graduates find opportunities in sectors as diverse as technology, healthcare, finance, automotive, energy, and strategic consulting.

With advanced skills in machine learning, deep learning, and intelligent systems, you will be prepared to take on roles in technical leadership and innovation. Whether developing virtual assistants, medical diagnostic systems, autonomous vehicles, or predictive analytics solutions, your skills will be valued in multinational companies, disruptive startups, research centers, and in creating your own project.

The future of AI is being built now. Be part of it.

Mobility agreements

ERASMUS+ is the European education, training, and youth program that aims to promote international cooperation, both for study periods and internships.

How does the program fit in with M.IA?

The Study measure works through the establishment of bilateral agreements between institutions, forming partnerships that agree on the mobility of students and teachers on a reciprocal basis. 

The Internship measure does not require any prior agreement between the institutions (of origin and destination).

Study Plan

Check the complete study plan

The study plan for 2026/2027 is available here.

Application

Application fee: €55

Language: English

Academic year: September – June

Tuition fees: See here for prices

Duration: 2 years (2nd cycle)

Mode of study: Full-time

Applications: Phase 1 from 16/02/2026 to 02/04/2026

Contacts

Clarify your doubts and take the next step in your career

Faculty of Sciences, University of Porto

Rua do Campo Alegre s/n

4169-007 Porto

Telf.: (+351) 220 402 030

M.IA Secretariat

mia@up.pt
mia.sec@up.pt
DEI (+351) 220 414 538
DCC (+351) 220 402 955

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Department of Computer Science - Faculty of Sciences, University of Porto.