Bachelor Computational Biomedicine and Artificial Intelligence
The Computational Biomedicine and Artificial Intelligence degree combines areas of Bioengineering, Medical Sciences and Computational Technologies, with an emphasis on practical application and innovation. This cycle of studies aims to train professionals Read more
Course formatIn-Person
DegreeBachelor
Semesters6
Credits180
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What will I learn in this course?
What will I learn in this course?
The Computational Biomedicine and Artificial Intelligence degree combines areas of Bioengineering, Medical Sciences and Computational Technologies, with an emphasis on practical application and innovation. This cycle of studies aims to train professionals capable of creating solutions that integrate artificial intelligence and data analysis in the diagnosis, prevention and treatment of diseases. Through an interdisciplinary approach and laboratory practices, students develop skills in programming, ethics, medical information management and in silico research, responding to the growing needs of the health sector and promoting the modernization of national and international health systems.
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Entry requirements and conditions
Entry requirements and conditions
Those who apply through the institutional admission process may apply for this study program. See the required exams below.- 02 Biologia e Geologia
- and
or- 18 Português
- and
or- 02 Biologia e Geologia
- and
- 07 Física e Química
- and
or- 07 Física e Química
- and
- 16 Matemática
- and
or- 02 Biologia e Geologia
- and
- 16 Matemática
- and
or- 16 Matemática
- and
- 18 Português
- and
or- 02 Biologia e Geologia
- and
- 18 Português
- and
or- 07 Física e Química
- and
- 18 Português
- and
Candidates can also enter through the change of institution/course pair system, or through a Special Competition, in accordance with the legal rules in force (e.g. holders of Higher Education Courses, holders of Specialized Technological Specialization Courses, holders of Professional Higher Technical Courses, people over 23, holders of Dual Certification Courses). Candidates who meet the conditions laid down in the International Student Statute may also enter.
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Profile of the candidates for whom the course is intended
Profile of the candidates for whom the course is intended
Students interested in the intersection between health and technology, with an aptitude for programming, data analysis and innovation, and who wish to contribute to advances in biomedicine, artificial intelligence and the modernization of health systems.
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Technical and professional skills that I will acquire
Technical and professional skills that I will acquire
- Artificial Intelligence: Application of advanced algorithms in health, from diagnostics to telemedicine. - Biomedical Data Analysis: Efficient management and processing of large volumes of clinical data. - Programming and Technological Development: Proficiency in programming languages applied to medical solutions. - Ethics and Privacy: Implementation of practices that ensure the confidentiality of sensitive data. - Innovation in Digital Health: Creation of computational tools to modernize health systems.
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Main reasons for choosing this course on ULusófona
Main reasons for choosing this course on ULusófona
- Interdisciplinary: Combines health, biomedicine and computer technologies.
- Employability: Responds to the growing demand in the digital health sector.
- Innovation: Focus on artificial intelligence and clinical data analysis.
- Practical training: applied projects and interaction with real scenarios.
- Global impact: Preparing to modernize national and international health systems.
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Study plan and curriculum structure
Study plan and curriculum structure
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1º Ano / General path
- [1º Semestre]
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Algebra
5 ects -
Calculus I
5 ects -
Cellular and Molecular Biology
5 ects -
General Chemistry
5 ects -
Human Anatomy
5 ects -
Programming for Biosciences I
5 ects
- [2º Semestre]
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Calculus II
5 ects -
Clinical Biochemistry
5 ects -
Genetics
5 ects -
Introduction to Physical Chemistry
5 ects -
Nanotechnology
5 ects -
Programming for Biosciences II
5 ects
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2º Ano / General path
- [1º Semestre]
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Biosensors
5 ects -
Calculus III
5 ects -
Data Science for Healthcare
6 ects -
Medical Imaging I
7 ects -
Probabilities and Statistics
6 ects
- [2º Semestre]
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Biomolecule Spectroscopy
6 ects -
Medical Imaging II
7 ects -
Medical Microbiology
6 ects -
Networks and Computers
6 ects -
Operational Research
6 ects
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3º Ano / General path
- [1º Semestre]
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Applied Project I
6 ects -
Artificial Intelligence I
7 ects -
Bioinformatics for Disease
6 ects -
Cloud Computing
6 ects - Optional
- [2º Semestre]
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Applied Project II
6 ects -
Artificial Intelligence II
7 ects -
Computational Biology
5 ects -
Computer vision
6 ects -
Neuroengineering
6 ects
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1º Ano / General path
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Options
Options
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Course Team
Course Team
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Career opportunities and career prospects
Career opportunities and career prospects
- Health data analyst for clinics, hospitals and healthcare centers. - Programmer of artificial intelligence solutions in the medical field. - Consultant in health technologies for companies and public institutions. - Specialist in medical image processing and biomedical instrumentation. - Researcher in computational biomedicine and artificial intelligence. - Data and clinical process manager in healthcare systems. - Professional in telemedicine and technical support in digital solutions.
Lisboa | Faculdade de Engenharia
Current Application Dates
Fees
Course Direction
Secretariat
Agência de Avaliação e Acreditação do Ensino Superior
Graduation Requirements
Have completed a total of 180 ECTS.
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