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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
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
Contact University Politehnica of Bucharest Faculty of Automatic Control and Computers AI-MAS Laboratory
Info on 2009-2011 Programme |
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University Politehnica of Bucharest Department of Computer Science & Engineering
Master of Science in Artificial Intelligence 2011-2013 Programme |
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Curricula |
Opportunities |
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Sem I Knowledge representation and reasoning Type systems and functional programming 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. |
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Sem II Symbolic and statistical learning 1 Elective Research activities |
Internships in companies: |
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Sem III Software Verification and Validation 1 Elective Research activities |
AI-MAS Winter Olympics competition
Erasmus Mundus Master Programme in Data Mining and Knowledge Management |
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Sem IV Research activities and development of Master Thesis |
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