Postgraduate Degree in Health Innovation: Digital Technologies and Artificial Intelligence

General Objectives of the Course

1 - Use AI algorithms to optimize healthcare practices and demonstrate the ability to select and apply appropriate techniques for each clinical situation;
2 - Demonstrate efficiency in managing patient clinical data and reducing the bureaucratic burden associated with healthcare by using digital tools and electronic record systems with 90% accuracy;
3 - Interpret prediction algorithms and apply their results to identify risks and support clinical decision-making, demonstrating the ability to critically evaluate available information and make informed decisions;
4 - Use the main digital platforms for continuous learning and professional development in teaching and learning in higher education;
5 - Integrate digital technologies into daily professional life to plan and deliver safe, effective healthcare, demonstrating the ability to apply acquired knowledge in clinical practice;
6 - Identify and analyze the ethical and legal challenges associated with the use of AI in healthcare, applying ethical principles that promote ethical, safe, and patient-centered practices.

Admission Requirements

Admission to the programme is open to:
a) Holders of a bachelor's degree or legal equivalent in Nursing from a Portuguese higher education institution;
b) Holders of a foreign first-cycle degree in Nursing that complies with the Bologna Process;
c) Holders of a foreign degree recognized as equivalent to a Portuguese bachelor’s in Nursing by the School's Technical-Scientific Council;
d) Individuals with an academic, scientific, or professional curriculum in the scientific field of Nursing recognised by the School's Technical-Scientific Council as demonstrating the ability to complete the programme.

In addition to the above, the following may apply:
a) Holders of a bachelor's degree or legal equivalent in health and related areas from a Portuguese higher education institution;
b) Holders of a foreign first-cycle degree in health and related areas that complies with the Bologna Process;
c) Holders of a foreign degree recognised as equivalent to a Portuguese bachelor’s in health and related areas by the School's Technical-Scientific Council;
d) Individuals with an academic, scientific, or professional curriculum in health and related areas by the School's Technical-Scientific Council as demonstrating the ability to complete the programme.

Candidates should check the admission requirements available on this site, in addition to the information provided here.

Professional Goals

Not applicable.





Mode of Study

B-learning

Teaching / Evaluation language(s)

Portuguese

Examination Regulations, Assessment and Grading

Assessment is an integral component of the teaching and learning process. It aims to evaluate the students’ knowledge and competencies, as well as their critical thinking, problem-solving skills, and proficiency in written and oral communication. The rules governing attendance, assessment, and classification are set out in the Academic Regulation of the University of Coimbra (RAUC). The grade awarded for each course unit is expressed as a whole number on a 0–20-point scale. A minimum final grade of 10 is required to pass a course unit. The final classification of the programme corresponds to the weighted arithmetic mean of the grades obtained in the course units. The weighting assigned to each course unit is equal to its ECTS credit value.

Learning Objectives and Intended Skills

Students are expected to develop advanced competencies in the field of digital technologies and artificial intelligence applied to healthcare and higher education. Specifically, they should be able to: use AI algorithms to optimize clinical practices; efficiently manage clinical data while reducing bureaucratic workload; interpret predictive models and apply their results to support clinical decisionmaking; integrate digital platforms into continuous professional development and teaching; apply digital technologies to deliver safe and effective care; and analyze the ethical and legal challenges related to the use of AI in healthcare, promoting responsible, safe, and person-centered practices.

Recognition of Prior Learning

Recognition of prior learning is governed by the provisions set out in the Academic Regulation of the University of Coimbra (RAUC), Regulation No. 945/2025, and Article 45(1)(a) of the Legal Framework for Higher Education Degrees and Diplomas, approved by Decree-Law No. 74/2006 of 24 March, in its current wording.

Qualification Requirements and Regulations

Decree-Law No. 74/2006, in its current wording.

Graduation Requirements

Successfully complete the course study plan, obtaining a total of 30 ECTS in the following scientific areas:

Code Scientific Areas ECTS
[723] – Nursing - 12
[720] - Health - 18

Access to Further Studies

Not applicable.




Study Programme

Health Innovation: Digital Technologies and Artificial Intelligence

Academic year
2026-2027

Course Type
Non Degree Course

Qualification Awarded: Diploma/Certificate

Duration: 1 Semester(s)

ECTS Credits: 30.0


Applications

Call for Applications


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