Applied Computational Intelligence Programme Profile

Educational Programme Applied Computational Intelligence
Degree Awarded Master in Computer Science
Standard Length of Studies
(Number of ECTS Credits)
2 years – 4 semesters – 120 ECTS
Type of Study Full-time
Higher Education Institution Babeş-Bolyai University
Faculty / Department Faculty of Mathematics and Computer Science
Contact Person Professor Horia F. Pop
Phone +40 264 405327
Fax +40 264 591906
Profile of the Degree Programme Applied Computational Intelligence degree program
Target Group / Addressees Graduates in Mathematics, Computer Science, Economics, Electrical/Electronic Engineering, Physics, Chemistry, Biology, etc.
Entrance Conditions Graduate student recruitment is achieved by competition. The overall three/four-year undergraduate average grade and a personal portfolio, for candidates with a Bachelor Degree in Computer Science, Computer Mathematics or Economical Computer Science and respectively the grade of a written test (see the curricula here) and a personal portfolio, for candidates outside the above mentioned areas.
Further Education Possibilities The master’s program aims at providing students with the appropriate tools for further doctoral studies and professional activity.
Description of Study Core disciplines:

  • Advanced methods in data analysis
  • Machine learning
  • Statistical methods in computational intelligence
  • Knowledge discovery in wide area networks
  • Simulation methods
  • Scientific data visualization
  • Unconventional computation for real world problem solving
  • Knowledge based systems and language technology
  • Cooperative intelligent agents
  • Declarative programming in machine learning
  • Applications of computational linguistics
  • Applications of computational intelligence in software engineering
Purposes of the Programme Programme objectives:

  • Acquisition of theoretical, applicative and practical knowledge of intelligent and computational paradigms inspired from natural science, social and linguistic fields;
  • Acquisition of in-depth knowledge in modeling / design / implementation of software applications based on computational intelligence approaches for solving problems specific to natural sciences, economics, industry;
  • Acquisition of the mathematical knowledge necessary in order to tackle complex problems;
  • Acquisition of specialized knowledge in the analysis and improvement of software processes;
  • Professional modeling for team work as well as interdisciplinary approaches to research and development.
Specialization / Area of Expertise Computational intelligence, Mathematical modeling in Computer Science, Intelligent methods in problems solving
Extra Peculiarities Optional: Practice of Education.
Practical Training In the 2nd year (4th semester) of the program the students participate in a research project in the field of Computational intelligence
Final Examinations Dissertation thesis
Gained Abilities and Skills General competences:

  • Advanced knowledge of theoretical, methodological, and practical developments in computer science;
  • Systematic use of computer science knowledge to model and interpret new situations, within application contexts larger than the known ones;
  • Detailed knowledge and integrated use of conceptual and methodological apparatus pertaining to informatics to provide solutions for incompletely defined situations, to solve new theoretical and practical problems;
  • Proficient use of verification, validation, and evaluation criteria and methods to his/her own software solutions, ability to formulate value judgments and to justify/explain constructive decisions;
  • Use advanced skills to develop and conduct complex software projects, of practical and/or research nature, using a wide range of quantitative and qualitative methods;
  • Advanced communication skills within different professional environments, appropriate use of computer science vocabulary, good English knowledge;
  • Team work abilities, assuming different execution and leading roles, performing professional tasks with considerable amounts of autonomy and responsibility.

Specialty competences:

  • Demonstrate advanced modeling skills for economic, industrial, scientific phenomena and processes, by using fundamental mathematical, statistical, and computer science knowledge;
  • Demonstrate advanced skills to apply intelligent methods for solving real phenomena and to develop and build procedures for efficient use of statistical methods;
  • Demonstrate advanced skills to analysis, design, and construction of software systems, using a wide range of hardware / software platforms, programming languages and environments, and modeling, verification and validation tools;
  • Demonstrate advanced skills to apply methods for data analysis and processing, data mining, pattern recognition;
  • Ability to teach students in high schools computer science concepts and theories, provided that the holder of the dissertation diploma owns a graduation certificate of the pedagogical education module.
Job Placement, Potential Field of Professional Activity Experts in software companies, developer positions, tester positions