Master’s programs offered by Computer Science Department of

Faculty of Mathematics and Computer Science

AIDC – Artificial Intelligence and Distributed Computing

Which is the main aim?

The main aim of the Artificial Intelligence and Distributed Computing master program is to offer knowledge and skills such that the graduates will be able to design and implement systems based on artificial intelligence methods and parallel and distributed approaches.

What topics are studied?
  • Cloud Computing, High Performance Computing;
  • Architectures for Parallel Computing;
  • Intelligent and Multi-agent Systems;
  • Automated Reasoning and Automated Theorem Proving;
  • Machine Learning, deep learning models.

Which is the target group? To this MSc program can apply graduates of:
  • Informatics/Computer Science, Mathematics and informatics;
  • Computer Engineering, Information Technologies;
  • Other programs on scientific or engineering fields.

Which are the career opportunities?
  • Cloud Computing specialist;
  • Artificial Intelligence/ Machine Learning specialist
  • Data Analyst;
  • Researcher in the field of Artificial Intelligence, Distributed Systems, Parallel Computing.

IADC – Inteligență Artificială și Calcul Distribuit

Cui se adresează? absolvenţi ai ciclului de licenţă de la
  • Informatică, Matematică informatică
  • Calculatoare şi Tehnologia Informaţiei
Oportunităţi de carieră:
  • Dezvoltator software, arhitect software
  • Analist programator, analist de date
  • Administrator sistem, administrator baze de date, administrator centru de date
Ce se studiază?
  • Tehnici de distribuire şi paralelizare a prelucrărilor (cloud computing, high performance computing)
  • Metode şi tehnologii specifice prelucrării eficiente a volumelor mari de date (big data)
  • Algoritmi specifici învăţării automate (machine learning)
  • Sisteme bazate pe agenți inteligenți

BIG DATA – DATA SCIENCE, ANALYTICS AND TECHNOLOGIES

Which is the main aim?

The main aim of the Big Data master programme is to offer knowledge and skills such that the graduates are able to
  • design efficient and robust models for statistical analysis of data,
  • implement and use data mining algorithms,
  • use technologies for big data processing,
  • implement scalable applications.
What topics are studied?
  • Big Data Technologies, Data Warehouses, Cloud Computing;
  • Data Mining, Machine Learning, Data Analysis and Programming in R;
  • Probabilistic Models for Data Science, Predictive Models and Analytics, Optimization, Biostatistics;
  • Text Mining, Computer Vision, Metaheuristic Algorithms
Which is the target group? To this MSc program can apply graduates of:
  • Informatics/Computer Science, Mathematics and informatics, Mathematics, Applied Mathematics, Economics;
  • Computer Engineering, Information Technologies;
  • Other programs on scientific or engineering fields.
Which are the career opportunities?
  • (Big) Data Scientist;
  • (Big) Data Analyst;
  • (Big) Data Engineer;
  • (Big) Data Architect