The Bachelor's Degree in Artificial Intelligence is part of an innovative educational project, aligned with the current demands of the market and the growing demand for data scientists and AI specialists. It responds to the interests of prospective students and companies seeking to welcome highly qualified graduates in this field. Integrated into the mission of the Higher Education Institution, the program trains professionals prepared for the challenges of technological innovation, focusing on employability and the development of practical skills in Machine Learning, Deep Learning, natural language processing, and intelligent applications, promoting solid and immediate integration into the labor market.

Applicants eligible for this study cycle are those who apply through the institutional access competition and have completed one of the following sets of exams:

19 Mathematics A

and one of the following exams:

Applicants may also be admitted through the transfer between institution/course schemes or through a Special Competition, in accordance with current legal regulations (holders of a higher education degree, holders of a Technological Specialization Course, holders of a Professional Higher Technical Course, or applicants over 23 years old).

Applicants who meet the conditions set out in the International Student Statute may also be admitted.

The target audience for applying to the Bachelor's Degree in Artificial Intelligence includes all those interested in areas related to Data Science and Engineering, Artificial Intelligence, Machine Learning, Deep Learning, Natural Language Processing, Robotics and Computer Vision, Predictive Analytics, AI Cybersecurity, and Digital Transformation, among other careers, who wish to acquire a solid and multidisciplinary academic education with excellent professional prospects in a rapidly growing market.

Artificial Intelligence (AI) is a highly sought-after field in both the national and international markets. It provides a natural pathway for second-cycle studies in Computer Engineering, Artificial Intelligence, or Data Science.

The objectives of the program are achieved through a structured theoretical and practical education, integrating computational foundations applied to AI and enabling the development of advanced knowledge in Machine Learning, Deep Learning, and Natural Language Processing. Learning is reinforced through applied projects, practical laboratories, and challenges based on real market problems, with involvement from industry partners.

Through active methodologies, such as case studies, solution development, and teamwork, the program fosters analytical skills, innovation, and adaptation to new technologies, ensuring solid professional competencies to meet the demands of the market in the field of Artificial Intelligence.

Mastery of mathematical and computational foundations for Artificial Intelligence: In-depth knowledge of AI, Machine Learning, Deep Learning, and Natural Language Processing, enabling students to develop advanced technological solutions.

Ability to develop intelligent applications: Practical training in developing AI applications, including recommendation systems, computer vision, natural language processing, and intelligent robotics, preparing professionals for effective implementation in the job market.

Analytical and data science skills: Ability to organize, analyze, and visualize complex data, applying statistical and exploratory analysis techniques to transform data into actionable information and support strategic decision-making.

Critical thinking and real-world problem solving: Active methodologies, including case studies, solution development, and teamwork, foster analytical skills, innovation, and adaptation to new technologies, ensuring professional competencies to meet market demands in the field of AI.

Adaptation to new technologies and continuous learning: Training in agile methodologies, software engineering, and real project development, with involvement from specialized AI companies, preparing students for the dynamic challenges of the technology sector.

Main professional opportunities:

• Data Scientist: analysis and interpretation of large volumes of data to support decision-making;
• Machine Learning Engineer: design and implementation of predictive models and intelligent systems;
• Artificial Intelligence and Deep Learning Specialist: development of solutions based on neural networks, computer vision, and intelligent automation;
• Data Analyst and Data Engineer: management, transformation, and visualization of data on analytical and Big Data platforms;
• Natural Language Processing (NLP) Specialist: creation of chatbots, virtual assistants, and automatic translation systems;
• Intelligent Robotics and Computer Vision Specialist: development of autonomous systems and intelligent industrial applications;
• Digital Transformation and AI Consultant: integration of AI solutions into business processes and innovation strategies;
• AI Project Manager and Intelligent Systems Researcher: coordination and applied research in emerging technologies and AI cybersecurity.