Description
This program trains highly qualified professionals in Computer Science, with a strong foundation in applied mathematics, data modeling, programming languages, software development, software engineering, and knowledge management.
Download Catalog/BrochureThe learning environment includes computer labs, a physical and virtual library, real-world internships in both public and private companies, forums and seminars, and research laboratories.
The training develops the skills to analyze and transform data through the application of software engineering and knowledge management, generating useful information for decision-making and organizational management.
General Information
| Degree Awarded: | Computer Science Engineer |
| Level: | Undergraduate Level |
| Duration: | 10 semesters // 5 years |
| Mode of Study: | In-person |
| English Proficiency Requirement: | B1 // 10th semester |
Professional Profile
Upon completing their training, graduates will be able to:
- Apply logical principles in Computer Science projects to provide solutions for modeling and abstracting real-world problems, designing systems, components, or processes that meet societal needs.
- Manage large volumes of data, considering functional and non-functional requirements as well as the appropriate use of modeling and development methodologies.
- Design and conduct experiments, interpret data, and apply the necessary techniques for analysis, abstraction, and synthesis of problems.
- Formulate and propose solutions through models that describe the behavior and operation of processes in various fields of knowledge, in which they research, analyze, design, propose, and develop different types of computational solutions.
Field of occupation
- Professional in public and private sector companies.
- Professional in national and international companies
- Professional in the industrial sector
- Professional in banks and financial institutions
- E-learning, e-commerce, and e-government companies, NGOs
- Teaching in Educational Institutions
- Professional in the healthcare sector
Curriculum Guide
Level 01
Level 02
Level 03
Level 04
Level 05
Level 06
Level 07
Level 08
Level 09
Level 01
Level 02
Level 03
Level 04
Level 05
Level 06
Level 07
Level 08
Level 09
Description
This program trains highly qualified professionals in Computer Science, with a strong foundation in applied mathematics, data modeling, programming languages, software development, software engineering, and knowledge management.
Mission
The Universidad de Cuenca is a public university whose mission is to educate researchers and professionals committed to a just, diverse, and sustainable society, ready to be agents of transformation.
Our Numbers
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Number of students admitted in the academic period september 2025 – february 2026
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Number of graduates of the program
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Number of graduates in the 2024-2025 period
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Number of students enrolled during the academic period march – august 2025
General Objective
To train highly qualified engineers in Computer Science, with a solid foundation in Applied Mathematics, Data Modeling, Programming Languages, Software Development, Software Engineering, and Knowledge Management; capable of proposing high-quality solutions and conducting research in their field of study, as well as contributing across different areas of knowledge within interdisciplinary teams with social, economic, environmental, and ethical responsibility.
Program Educational Objectives
Graduates of the Computer Science program at Universidad de Cuenca will be able to achieve the following professional accomplishments within 3-5 years after graduation:
- PEO 1: Create high-quality computational and data-driven solutions based on international standards, using cutting-edge technology.
- PEO 2: Achieve professional success and provide leadership in academia, and the public and private sectors.
- PEO 3: Apply solid scientific and technological knowledge with ethical and sustainable responsibility.
Student Outcomes
At the end of their studies, Computer Science graduates are expected to achieve the following student outcomes, an ability to:
- SO1. Analyze a complex computing problem and apply principles of computing and other relevant disciplines to identify solutions.
- SO2. Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
- SO3. Communicate effectively in a variety of professional contexts.
- SO4. Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
- SO5. Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
- SO6. Apply computer science theory and software development fundamentals to produce computing-based solutions.
Capstone Design Projects
Capstone Projects are an opportunity for students to apply the skills, knowledge, and abilities acquired throughout the program.
Ing. Alvear Alvear Oscar Patricio, PhD.
Docente
Ing. Alvear Alvear Oscar Patricio, PhD.
Docente
Facultad de Ingeniería
Carrera de Computación
ORCID
0000-0003-4569-9364
Ing. Andrade Izquierdo Priscila Juliana, MSc.
Técnico Docente
Ing. Andrade Izquierdo Priscila Juliana, MSc.
Ing. Auquilla Sangolquí Andrés Vinicio, MSc.
Docente
Ing. Auquilla Sangolquí Andrés Vinicio, MSc.
Docente
Facultad de Ingeniería
Carrera de Computación
ORCID
0000-0002-3754-041X
Ing. Ávila Ordoñez Elina María, PhD.
Docente
Ing. Ávila Ordoñez Elina María, PhD.
Docente
Facultad de Ingeniería
Carrera de Computación
ORCID
0000-0003-1135-3154
Ing. Cárdenas Delgado Paul Esteban, MSc.
Docente – Becario
Ing. Cárdenas Delgado Paul Esteban, MSc.
Docente – Becario
Facultad de Ingeniería
Carrera de Computación
ORCID
0000-0003-0526-8519
Ing. Cedillo Orellana Irene Priscila, PhD.
Docente
Ing. Cedillo Orellana Irene Priscila, PhD.
Docente
Facultad de Ingeniería
Carrera de Computación
ORCID
0000-0002-6787-0655
Ing. Espinoza Mejía Jorge Mauricio, PhD.
Docente
Ing. Espinoza Mejía Jorge Mauricio, PhD.
Docente
Facultad de Ingeniería
Carrera de Computación
ORCID
0000-0003-0452-9721
Ing. Estrella Maldonado Rene Gustavo, PhD.
Docente
Ing. Estrella Maldonado Rene Gustavo, PhD.
Docente
Facultad de Ingeniería
Carrera de Computación
ORCID
0000-0001-5871-6982
Ing. Fernández Avilés Alba Carmita, MSc.
Docente
Ing. Fernández Avilés Alba Carmita, MSc.
Ing. Granda Juca María Fernanda, PhD.
Docente
Ing. Granda Juca María Fernanda, PhD.
Docente
Facultad de Ingeniería
Carrera de Computación
ORCID
0000-0002-5125-8234
Ing. Maldonado Mahauad Jorge Javier, PhD.
Director de Innovación Educativa Docente
Ing. Maldonado Mahauad Jorge Javier, PhD.
Director de Innovación Educativa Docente
Facultad de Ingeniería
Carrera de Computación
ORCID
0000-0003-1953-390X
Ing. Mejía Pesantez Piedad Magali, MSc.
Docente
Ing. Mejía Pesantez Piedad Magali, MSc.
Docente
Facultad de Ingeniería
Carrera de Computación
ORCID
0000-0001-7898-6808
Ing. Montero Banegas Diego Teodoro, PhD.
Docente
Ing. Montero Banegas Diego Teodoro, PhD.
Docente
Facultad de Ingeniería
Carrera de Computación
ORCID
0000-0001-5844-7364
Ing. Morocho Zurita Carlos Villie, PhD.
Docente – Investigador Titular Coordinador del Grupo IDE
Ing. Morocho Zurita Carlos Villie, PhD.
Docente – Investigador Titular Coordinador del Grupo IDE
Facultad de Ingeniería
Carrera de Computación
ORCID
0000-0002-8196-2644
Ing. Mory Alvarado Andrea Vanessa, MSc.
Técnico Laboratorio
Ing. Mory Alvarado Andrea Vanessa, MSc.
Técnico Laboratorio
Facultad de Ingeniería
Carrera de Computación
ORCID
0000-0002-4588-2540
Ing. Ortiz Gaona Raúl Marcelo, PhD.
Docente
Ing. Ortiz Gaona Raúl Marcelo, PhD.
Docente
Facultad de Ingeniería
Carrera de Computación
ORCID
0000-0001-7641-331X
Ing. Parra González Luis Otto, PhD.
Docente
Ing. Parra González Luis Otto, PhD.
Docente
Facultad de Ingeniería
Carrera de Computación
ORCID
0000-0003-3004-1025
Ing. Pesantez Valdiviezo Juan Carlos, MSc.
Docente – Becario
Ing. Pesantez Valdiviezo Juan Carlos, MSc.
Docente – Becario
Facultad de Ingeniería
Carrera de Computación
ORCID
0000-0003-4640-4556
Ing. Ponce Vásquez Diego Arturo, PhD.
Docente
Ing. Ponce Vásquez Diego Arturo, PhD.
Docente
Facultad de Ingeniería
Carrera de Computación
ORCID
0000-0002-5651-0363
Ing. Rea Avila Juan Alexander
Técnico Docente
Ing. Rea Avila Juan Alexander
Técnico Docente
Facultad de Ingeniería
Carrera de Computación
ORCID
0009-0004-2973-7310
Ing. Saquicela Galarza Víctor Hugo, PhD.
Docente
Ing. Saquicela Galarza Víctor Hugo, PhD.
Docente
Facultad de Ingeniería
Carrera de Computación
ORCID
0000-0002-2438-9220
Ing. Sigcha Quezada Erik Alejandro, MSc.
Docente
Ing. Sigcha Quezada Erik Alejandro, MSc.
Docente
Facultad de Ingeniería
Carrera de Computación
ORCID
0000-0003-3205-6271
Ing. Sigüenza Guzmán Lorena Catalina, PhD.
Docente
Ing. Sigüenza Guzmán Lorena Catalina, PhD.
Docente
Facultad de Ingeniería
Carrera de Computación
ORCID
0000-0003-1367-5288
Ing. Suquilanda Villa Doris Yolanda, MSc.
Docente
Ing. Suquilanda Villa Doris Yolanda, MSc.
Docente
Facultad de Ingeniería
Carrera de Computación
ORCID
0000-0001-6811-1784
Ing. Vanegas Peralta Pablo Fernando, PhD.
Docente
Ing. Vanegas Peralta Pablo Fernando, PhD.
Docente
Facultad de Ingeniería
Carrera de Computación
ORCID
0000-0003-3418-7670
Ing. Vega Zamora Oswaldo Francisco, MSc.
Docente – Becario
Ing. Vega Zamora Oswaldo Francisco, MSc.
Docente – Becario
Facultad de Ingeniería
Carrera de Computación
ORCID
0009-0006-5055-4724
Ing. Veintimilla Reyes Jaime Eduardo, PhD.
Docente
Ing. Veintimilla Reyes Jaime Eduardo, PhD.
Docente
Facultad de Ingeniería
Carrera de Computación
ORCID
0000-0003-0409-9602
Ing. Zúñiga Prieto Miguel Ángel, PhD.
Docente
Ing. Zúñiga Prieto Miguel Ángel, PhD.
Docente
Facultad de Ingeniería
Carrera de Computación
ORCID
0000-0001-9369-1813