In the next academic year, the Faculty of Engineering and Informatics of Spiru Haret University offers accredited study programs in Computer Science.

The mission of the Department of Engineering and Computer Science at Spiru Haret University is to serve high quality educational programs in computer science, information and communication technologies and to develop outstanding theoretical and applied research in mathematics and computer science.

The management vision is to achieve excellence and international recognition in teaching and research with a focus towards serving society at large.

The Department of Engineering and Computer Science is based on a good team having expertise in Mathematics, Computer Science, and Computer Engineering, being engaged in theoretical and applied research in scientific fields like: Bio-mechanics and dynamic systems, Advanced computing (numerical, data science, big data), Special topics in Geometry and Mathematical Analysis including Fractals, Scalable distributed systems, Formal methods, algorithms, and data structures, Advanced WEB technologies and databases, Cybersecurity,  Blockchain, Optimization methods for mobile networks, Machine learning and special topics of Artificial intelligence including image/video processing and analysis, and Software engineering.

Faculty members of the department received scientific recognition through PhD in computer science (4), mathematics (4), computer engineering (1), economic informatics (1), mechanical engineering (1), and security for defense (1).  Annual Scientific Reports on the department activity can be found on webpage

Jointly with Solid Mechanics Institute of Romanian Academy, the department coordinates at national level the COST action CA18232 - Mathematical models for interacting dynamics on networks (|Name:management-committee).

By making use of information technologies in industry, business and social life, the staff of the Research Center in Mathematics and Computer Science, in cooperation with the Center of Software Development, and students engaged in diploma projects, proved competences in digital modeling and software implementation for facial identification, road analysis for intelligent systems on traffic, image analysis and biometrics.

The group working on computer systems, networks and cybersecurity proved competences in design, implementation and training on specific topics.

Also, the group working on information systems engineering has competences in both relational and NoSQL databases, database security, applications on distributed ledgers (blockchain technologies), big data processing and analytics, and software methodologies. 

The most advanced courses offered to students are dedicated to coding and cryptography, distributed programming, cloud computing, computational intelligence, bioinformatics, and IoT methodologies. During teaching and training, the academic staff makes use of modern technologies and pedagogical paradigms based on blended learning, online teaching, and eLearning.