Programme Description


The M.Sc. programme in Artificial Intelligence - taught in English - offers to the enrolled students in-depth theoretical and practical knowledge on:

· artificial intelligence and intelligent applications;

· distributed problem solving;

· games and strategies;

· intelligent agents and their applications;

· social networks, search and filtering of information on the Web;

· data mining, innovative ways to represent and use data;

· use of emerging technologies for building complex systems.


See more in M.Sc Opening Event October 2011



Programme Structure and Content


ECTS: 120, Duration: 4 semesters

Type: Research


The degree requirements for students in the Artificial Intelligence programme consist of core courses, options, and supervised research culminating in a Master Thesis. The Master's Degree Programme is designed to be completed in 4 semesters, with the last semester dedicated mainly to research and the fulfillment of the Master Thesis.





























Research themes




Research topics


Complete list of research subjects


Multi-strategy games   ·    Negotiation strategies for e-commerce   ·    Swarm based systems

Norm emergence in agent systems   ·    Trust and reputation in virtual communities

Semantic query and annotation of images    ·    Ambient control through sensors and cameras

Knowledge acquisition from discussions forums   ·    Intelligent system for polyphonic music composition


Machine learning algorithms for image detection - Internship at Digital Optics Corporation   ·   

Algorithms to control UAV (Unmanned Aerial Vehicle) - Internship at TeamNet   ·    Swarm of hybrid robots - Internship at TeamNet


Previous research


Entry Requirements


Applicants should hold a Bachelor degree in Computer Science, Computer Engineering, Information Technology, Systems Engineering, Informatics, Mathematics or related areas. Applicants are required to pass an admission examination. More details on entry requirements are to be found here.

Foreign student applications will be considered based on the curriculum content of their Bachelor Degree and academic performance.


Programme directors

Prof. Adina Magda Florea, Prof. Stefan Trausan-Matu



University Politehnica of Bucharest

Faculty of Automatic Control and Computers

AI-MAS Laboratory


Info on 2009-2011 Programme


University Politehnica of Bucharest

Department of Computer Science & Engineering



Master of Science in

Artificial Intelligence

2011-2013 Programme



Sem I

   Knowledge representation and reasoning

Type systems and functional programming

   Data Mining

   1 Elective

Research activities

       EU funded programme “Support for a successful career in AI”

       Cooperation with Serious Games Institute

       Research assistantships in AI-MAS Lab

       Scholarships in 7 EU universities: UPMC, ENPSE, Utrecht Univ.PolytechMontpellier, Univ. Catalunya, PolytechNantes, Turku Univ.

Sem II

   Multi-agent systems

   Natural language processing

   Symbolic and statistical learning

   1 Elective

Research activities

       Internships in companies:

           Digital Optics Corporation





   Self-organizing systems

   Neural networks

   Software Verification and Validation

   1 Elective

Research activities

       AI-MAS Winter Olympics competition


       Erasmus Mundus Master Programme in Data Mining and Knowledge Management

Sem IV

Research activities and development of Master Thesis