UNDERGRADUATE
Artificial Intelligence Engineering
ABOUT THE
Program
The Artificial Intelligence Engineering program trains professionals capable of designing, developing, and implementing intelligent systems that recognize patterns, classify data, predict outcomes, make autonomous decisions, and generate language and images.
It encompasses mathematics, computing, data science, cognition, and human-centered design. The curriculum includes machine learning, deep learning, and reinforcement learning, along with training in ethics, social responsibility, technical communication, project management, and innovation—addressing the challenges of an ever-evolving technological environment.
Location: Bucaramanga and Barrancabermeja (Santander), Saravena (Arauca) | SNIES 117961 | Official program registration: Resolution No. 009089 issued by the Colombian Ministry of National Education (MEN) on May 7, 2025 – Valid for 7 years ( See PDF document).
DEGREE:
Artificial Intelligence Engineer
DURATION:
8 Semesters
MODALITY:
In-person
LOCATION:
Bucaramanga Central Campus and
Barrancabermeja Campus
- Aplicant profile
- Graduate Profile
Applicant
Profile
.
The Artificial Intelligence Engineering academic program is open to all graduates of secondary education in Colombia or its equivalent abroad.
It is designed for individuals with an interest in and aptitude for technology, who are motivated to solve computational problems through the foundational and technological principles of mathematics, computer science, and engineering in order to build intelligent systems. Applicants should also demonstrate a desire to create, innovate, and contribute to the generation of new knowledge with social impact at both national and international levels.
Likewise, candidates are expected to show motivation to work in collaborative and interdisciplinary environments, and to be autonomous, responsible, and ethical citizens in the practice of their profession.
GRADUATE
Profile
.
Graduates of the Artificial Intelligence Engineering program at the Universidad Industrial de Santander are well-rounded professionals capable of analyzing complex problems in the computational field, applying principles from computer science, mathematics, science, statistics, and engineering to identify innovative and effective solutions.
They will possess the skills to design, implement, and evaluate solutions based on artificial intelligence technologies, meeting the specific needs of various sectors within the program’s context. In addition, graduates will develop AI solutions with a human-centered approach, taking into account the social, cultural, and ethical implications of their work.
They will communicate effectively with multidisciplinary audiences, fostering collaboration and the integration of diverse knowledge areas. Their ethical and responsible approach, combined with teamwork and leadership skills, will enable them to make informed decisions and work in collaborative environments. They will apply rigorous experimental methods for data analysis and demonstrate a commitment to lifelong learning to remain at the forefront of this ever-evolving field.
All About Our Program
ACADEMIC
Curriculum
- 1°
- 2°
- 3°
- 4°
- 5°
- 6°
- 7°
- 8°
- Electives
.
Code: 40935 Credits: 4 –Single-Variable Calculus
Code: 40936 Credits: 3 –Introduction to Linear Algebra
Code: 41609 Credits: 2 – Introduction to Artificial Intelligence Engineering Artificial
Code: 41330 Credits: 3 –Chemistry for Engineering
Code: 41610 Credits: 3 –Cognitive Processes
Code: 29205 Credits: 1 – Cátedra UIS
.
Code: 40939 Credits: 3 –Multivariable Calculus
Code: 41332 Credits: 3 – Linear Algebra in General Vector Spaces
Code: 41334 Credits: 2 –Discrete Mathematics
Code: 40940 Credits: 3 –Mechanics
Code: 41333 Credits: 3 –Algorithms and Programming
Code: 41095 Credits: 2 –Foreign Language I: English
.
Code: 41018 Credits: 3 –Differential Equations
Code: 41337 Credits: 3 –Descriptive Statistics and Probability
Code: 41339 Credits: 2 –Data Visualization and Representation
Code: 41019 Credits: 2 –Mechanics Laboratory
Code: 41336 Credits: 3 – Data Structures
Code: 41096 Credits: 2 –Foreign Language II: English
Code: 23423 Credits: 1 –Physical and Sports Culture
.
Code: 41338 Credits: 3 –Numerical Methods and Optimization
Code: 41342 Credits: 3 –Inferential Statistics
Code: 41341 Credits: 3 –Machine Learning
Code: 41340 Credits: 3 –Object-Oriented Programming
Code: 41611 Credits: 2 –Human Information Processing and Artificial Intelligence
Code: 41097 Credits: 2 –Foreign Language III: English
.
Code: 41612 Credits: 3 –Natural Language Processing
Code: 41346 Credits: 3 –Deep Learning
Code: 41613 Credits: 3 –Databases
Code: 41614 Credits: 2 –AI and Society
Code: 41098 Credits: 2 –Foreign Language IV: English
Code: 00000 Credits: 3 –Comprehensive Education Elective I
.
Code: 41615 Credits: 3 –Computer Vision
Code: 41616 Credits: 3 –Generative AI I
Code: 41351 Credits: 3 –Unsupervised Learning
Code: 41670 Credits: 3 –Software Engineering
Code: 41617 Credits: 2 –AI Ethics
Code: 00000 Credits: 2 –Comprehensive Education Elective II
.
Code: 41348 Credits: 4 –Engineering Design I
Code: 41618 Credits: 3 –Generative AI II
Code: 41619 Credits: 3 –Reinforcement Learning
Code: 00000 Credits: 3 –Disciplinary Elective I
Code: 41620 Credits: 3 –Software Project Management
.
Code: 41621 Credits: 4 –AI Product Design
Code: 41622 Credits: 3 – CD4ML
Code: 00000 Credits: 3 –Disciplinary Elective II
Code: 00000 Credits: 3 – Disciplinary Elective III
Code: 00000 Credits: 3 –Transdisciplinary Elective
.
Code: 41648 Credits: 3 – Scaling in AI Models
Code: 41649 Credits: 3 – Advanced Generative AI
Code: 41650 Credits: 3 – Tiny ML
Code: 41362 Credits: 3 – Interpretation and Generalization of Information (XAI)
Code: 41651 Credits: 3 – Medical Image Analysis
Code: 41652 Credits: 3 – AI in the Energy Transition
Code: 41653 Credits: 3 – AI and Territory
Code: 41654 Credits: 3 –AI and Cybersecurity
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PROFESORES DEL
Programa
Carlos Alfonso MANTILLA DUARTE
Doctor en Estadística y Matemática Aplicada
Carlos Jaime BARRIOS HERNÁNDEZ
Doctor en Informática
Claudia Victoria CORREA PUGLIESE
Doctora en Ingeniería Eléctrica y Computación
David Edmundo ROMO BUCHELI
Doctora en Ingeniería Eléctrica
Fabio MARTÍNEZ CARRILLO
Doctor en Ingeniería de Sistemas y Computación
Fernando Antonio ROJAS MORALES
Magíster en Ciencias Computacionales
Gabriel Rodrigo PEDRAZA FERREIRA
Doctor en Ciencias de la Computación
Gustavo Adolfo GARZÓN VILLAMIZAR
Magíster en Ingeniería de Sistemas e Informática
Henry ARGUELLO FUENTES
Doctor en Ingeniería Eléctrica y Computación
Hoover Fabián RUEDA CHACÓN
Doctor en Ingeniería Eléctrica y Computación
John William VÁSQUEZ CAPACHO
Doctor en Ingeniería
Lola Xiomara BAUTISTA ROZO
Doctora en Tratamiento de Imágenes y Señales
Luis Carlos GÓMEZ FLÓREZ
Magíster en Ingeniería de Sistemas
GRUPOS Y SEMILLEROS DE
Investigación
WOULD YOU LIKE MORE INFORMATION?
Contact Us
School of Systems and Computer Engineering
Phone: +57 (607) 634 4000
Extension: 2342
Email: escsist@uis.edu.co
Barrancabermeja Campus
Phone: +57 (607) 634 4000
Extension: 6001
Email: barranca.inscripcion@uis.edu.co
Campus Central UIS
Bucaramanga, Santander
Carrera 27 & Calle 9
Edificio de Laboratorios Pesados
Barrancabermeja Campus
Barrancabermeja, Santander
Carrera 28 # 60 – 00
Edificio de Aulas, tercer piso, Coordinación de Sede
Office Hours
Monday to Friday
7:00 a.m. – noon
2:00 p.m. – 5:00 p.m.