Intelligent Systems Programme Profile

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Educational Programme Intelligent Systems
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 Prof. D. Dumitrescu
Phone +40 742 182359
Fax +40 264 591906
E-mail ddumitr@cs.ubbcluj.ro
Profile of the Degree Programme Intelligent Systems
Target Group / Addressees Bachelor of Computer Science, Mathematics, Economics, Electrical Engineering, Physics, Chemistry, Biology, Psychology etc.
Entrance Conditions The grade obtained at the final examination of the graduated Bachelor degree program and a personal portfolio.
See the exact admission conditions on www.cs.ubbcluj.ro, section Admitere
* Entrence conditions could be subject of some changes
Further Education Possibilities Doctoral studies
Description of Study The programme structure covers the main topics in Intelligent Systems and related areas. Tools for developing real world applications are presented.

Core courses:

  • Evolutionary Algorithms;
  • Machine Learning;
  • Advanced Methods of Data Analysis;
  • Knowledge Discovery in Wide Area Networks;
  • Advanced Evolutionary Computing in Solving Complex Problems;
  • Knowledge Based Systems and Language Technology;
  • Unconventional Computing in Solving Real-World Problems;
  • Knowledge Discovery and WEB Semantics;
  • Cooperative Intelligent Agents;
  • Genetic Programming and Applications;
  • Methodology of Scientific Research in Computer Science;
  • Software Architecture;
  • Computational Approaches for Natural Language Semantics.
Purposes of the Programme The aims of the programme are

  1. To offer the main conceptual and computational tools of Artificial Intelligence;
  2. Develop skills for coping with real world problems;
  3. Develop research abilities.
Specialization / Area of Expertise AI, Intelligent systems, Natural Computing, Metaheuristics, Evolutionary computation
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 Intelligent Systems.
Final Examinations Research thesis (Dissertation)
Gained Abilities and Skills Among the many, the following abilities and skills can be mentioned:

  • Knowledge and usage of evolutionary computation methods and technologies;
  • Developing applications that use metaheuristic methods;
  • Strong mathematical fundamentals for intelligent systems.
Job Placement, Potential Field of Professional Activity Experts in software companies;
Research, university.
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