General and Specific Objectives

General objective

The PPCIC, in line with the general objectives described in the CEFET / RJ PDI, aims to provide teaching at a postgraduate level, stricto sensu, to research and stimulate its students and teachers in inventive activities capable of generating scientific articles, products, artifacts, courses and services that bring impact and benefits to society. The CEFET / RJ profile, whose practical bias is highly relevant, guides the PPCIC in the association of basic research with applied research.

Specific objectives

The specific objectives of the program are:

  • Train graduates trained to research, teach and develop scientific and technological knowledge in an ethical manner in the area of ​​Computer Science, especially in activities associated with Data Science.
  • Conduct research that produces knowledge that can be disseminated and applied through articles and computational artifacts of added value.
  • Interact with the science axis and companies from the private and public sectors by proposing research topics in Data Science, which enable innovation and knowledge transfer.


In order to achieve the general and specific objectives, the Program established short, medium and long term goals, aiming at its positioning in this and in the next four-year evaluations.


  • Establish program focus in the face of multidimensional evaluation

Considering the multidimensional view, the Program focuses its energy on the dimensions (i) teaching and learning (excellence in Data Science), (ii) knowledge production (impactful and associated productions with students) and (iii) innovation and transfer knowledge (combining basic research with applied research to solve real problems).

  • Consolidate your self-assessment process

Systematization of the Program’s self-assessment actions, in a way associated with the general guidelines of the Institution and its Post-graduation, emphasizing the analysis of graduates, teaching, knowledge production and innovation. The systematization encompasses adherence to CAPES’s self-assessment guidelines, training references for the Stricto Sensu Graduate Courses in Computing developed by SBC and the general principles of the UK Quality code.

  • Reach level 4 in the 2017-2020 quadrennial

Considering all the existing indicators, the Program pursues the appropriate parameters, improving its measures and carrying out comparative evaluations with the other Level 4 Programs.


  • Consolidate the growth of its faculty and students aiming at the solid and diversified formation of Computer scientists with an emphasis on Data Science

The Program adopts the strategy of growth of its faculty in a sustainable manner, respecting its production indicators, the growing demand for enrollment of students in the Program, adherence of the faculty to the Program and the growth of its lines of research, as well as the offer of a range of subjects that promote the solid formation of the graduate in Data Science.

  • Consolidate the realization of projects with public and private sectors in order to enable innovative results with knowledge transfer.

The Program will seek contacts in the public and private sectors looking for challenges that generate high-impact research projects, as well as carrying out dissemination actions so that the public and private sectors themselves are interested in seeking us for their problems to be solved.

  • Creation of the Doctorate

The natural consequence of its sustainable growth and, once reached level 4, is to establish a training offer at the PhD level. This scenario expands the formation of more and more complete graduates in Computer Science with an emphasis on Data Science.


  • Have recognized competence in the training of computer scientists with an emphasis on data science.
  • Have recognized ability to produce innovative results with knowledge transfer, especially in the field of Data Science.
  • Achieve the level of national excellence (CAPES level 5).

Alumni Profile

The teaching of Computing assumes a role of great social importance, and should train professionals who, in addition to having a good technical-scientific basis, have the ability to influence, analyze, discern and reflect on the most diverse issues in the contemporary world. Considering the skills and competences of its teaching staff and the national and global demand for qualified professionals in the area of ​​Computer Science, the PPCIC aims at the formation of graduates trained to research, teach and develop scientific and technological knowledge in the area of ​​Computer Science. Computing.

In particular, the Program has as a graduate profile highly qualified human resources in the development of basic and applied research at the frontier of knowledge in Data Science. Such professional has an expectation of typically solid training in Computer Science, statistics and mathematics, as well as minimal knowledge in the area of ​​application of the problem addressed. This profile is consolidated by the conception of the subjects, lines and teaching profile of the program.