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Puno, Peru
FINESI

Academics

Five years of training in statistics and computing, with a plan of 60 courses and 228 credits.

228
Credits
60
Courses
10
Terms
5
Years
FINESI faculty gathered in front of the faculty building

Resources

Systems for the term

The systems you use during the semester, without hunting across three sites.

Official resultsFull list of admitted students, at the Admissions OfficeEnrollmentCourse registration for the termVirtual classroomClasses, materials and submissionsHow to apply to FINESISchedule, requirements and places for each admission roundLibraryCatalogue and databasesGrades and attendanceAcademic record for the termCurriculum mapInteractive study planThesis repositoryResearch workDegrees and titlesTrack your applicationTutoringAcademic supportDigital libraryUNA Puno digital catalogue and resources

Profiles

What is expected on entry and what is certified on leaving

The competencies of the current curriculum, as defined by the professional school.

  • Entry Profile

    1. The entry profile is the set of qualities expected of students joining the school — capabilities, knowledge and attitudes that help them undertake and complete university study with the greatest academic benefit:
    2. C1Recognises themselves as a person of worth and identifies with their culture in different settings.
    3. C2Fosters democratic life by recognising their rights and duties and understanding the historical and social processes of our country and the world.
    4. C3Leads an active and healthy life for their well-being, cares for their body and interacts respectfully in everyday and sporting physical activities.
    5. C4Appreciates artistic and cultural expression in order to understand the contribution of art to culture and society, and creates artistic projects using the various languages of art to communicate their ideas.
    6. C5Communicates in their mother tongue, in Spanish as a second language and in English as a foreign language, assertively and responsibly, to interact with others in a range of settings and for different purposes.
    7. C6Enquires into and understands the natural and man-made world using scientific knowledge in dialogue with local knowledge, to improve quality of life and care for nature.
    8. C7Interprets reality and makes decisions based on mathematical knowledge that contributes to their context.
    9. C8Manages economic or social entrepreneurship projects ethically, connecting them with the world of work and with the social, economic and environmental development of their surroundings.
    10. C9Makes responsible use of information and communication technologies to engage with information and to manage their communication and learning.
    11. C10Develops autonomous, lifelong learning processes for the continuous improvement of their learning and its results.
    12. C11Understands and appreciates the spiritual and religious dimension in the lives of individuals and societies.

  • Graduate Profile

    1. General competencies:
    2. CG1Uses language to understand, argue and produce academic texts in intercultural communicative contexts.
    3. CG2Grounds the rationales and theories of scientific knowledge for research and for understanding reality, with ethics and reflective critical thinking in academic and sociocultural contexts.
    4. CG3Solves contextualised problems drawing on the basic sciences, developing independent judgement grounded in objective criteria and logical reasoning.
    5. CG4Develops creative entrepreneurship linked to their life project, oriented towards building the cultural and socio-occupational fabric.
    6. CG5Explains the relationships between social and natural elements for the preservation of life, valuing identity and interculturality in a diverse world.
    7. Specific competencies:
    8. CE1Designs and develops software solutions, web applications and enterprise systems to international standards, contributing to technological development with a scientific and responsible attitude, using principles, techniques, tools and methods that ensure software functionality and quality.
    9. CE2Builds and analyses statistical models and computational algorithms for better decision-making under uncertainty, for the development of the region and the country, with a scientific and ethical attitude, using statistical and computing techniques from the field of data science.
    10. CE3Designs, configures and administers telecommunications networks based on current quality standards and security policies, with responsibility and social commitment.
    11. CE4Manages database and information systems with a scientific, critical and ethical attitude, grounded in theory and in the handling of information security policies and quality standards.
    12. CE5Applies statistical methodologies to promote and carry out scientific research, generating new knowledge for the benefit of the country and of humanity, with responsibility, ethics and command of current statistical techniques.

Documents

Official plans, schedules and listings in PDF.

Procedures

Thesis regulations and forms

The documents the faculty requires for the proposal and the draft, as published by the research vice-rectorate.

More about the school

Institutional documents and texts of the study programme.

Academic ObjectivesOE1. Achieve quality learning by training professionals highly skilled in the statistical and computing sciences, using a competency-based methodology. OA2. Foster a scientific attitude in students through formative research, contributing to the social, scientific and technological development of the region. OA3. Incorporate faculty research into the teaching of the courses in the curriculum. OA4. Encourage in students an attitude of service and commitment to society by taking part in outreach and dissemination work on statistics and computing, strengthening the country's educational development. OA5. Run a system for monitoring and continuously improving academic processes. OA6. Carry out and promote scientific research in statistics and computing. OA7. Provide ongoing training and professional development for graduates, faculty, students of the programme and professionals from other fields, through courses and extracurricular activities held at the school.Educational ObjectivesThree years after graduating from the School of Statistical and Computer Engineering, our professionals should be able to: OE1. Have a sufficient understanding of statistical and computing science, including the analysis of modern techniques and scientific principles. OE2. Demonstrate responsibility and leadership, adapting to change and progressing to more senior positions within their organisation. OE3. Demonstrate an understanding of the ethical, legal, cultural, environmental and economic implications of their work. OE4. Demonstrate the ability to communicate with professionals from other fields and to work as part of a team. OE5. Take an effective part in teamwork as a leader, learning continuously and independently. OE6. Take part in professional societies in the field of statistics and computing.Regulations and BylawsFINESI regulations Regulations DRAFT THESIS REGULATION THESIS PROPOSAL REGULATION FINESI forms Academic forms General draft thesis format FINESI thesis proposal format Proposal corrections report AI declaration — proposal AI declaration — draft thesis