Programul de studii de masterat: Securitate cibernetică şi Învăţare automată (în limba engleză)/ Cyber security and machine learning
The program aims to create highly trained specialists in ensuring the protection of computer systems and information systems, data protection, computer network administration, specific software development and the development of Artificial Intelligence Systems for various application areas, using the latest technologies in the field of Machine Learning.
Mission
The Cyber Security and Machine Learning (CSML) Master’s programme aims to prepare graduates in two important/hot topics for today’s society: Computer/Cyber Security and Machine Learning. The program is addressed to graduates of the Faculty of Mathematics and Computer Science, as well as graduates from specializations such as Automation and Computers, Physics, Economic Informatics or Engineering.
The graduates of this Master’s program will be specialists in the protection of computer systems, data protection, secure administration of computer networks on the one hand, as well as Machine Learning practitioners that can build robust and efficient algorithms for automatic data extraction and data analysis, with the use of specific technologies. CSML graduates will be capable of working both in companies and software development departments, in research or in the higher education.
The CSML Master’s curriculum focuses on fundamental elements in the two branches that provide the name of the program. Cyber-security is a field of maximum importance in the digital society we live in. The CSML Master’s students will gain specific expertise in cryptography, detection of cyber attacks and how to design resilient applications, by means of highly focused courses (such as Applied Cryptography, Malware analysis, Security of web applications or Security of databases). From a researcher’s perspective, Machine Learning is at the jonction of Artificial Intelligence and Mathematics by means of Statistics, with a strong Optimization component. Machine Learning algorithms and techniques are at the core of today’s revolutionary results in various branches of science. At the CSML Master’s, students are taught fundamental algorithms in Machine Learning and techniques specific to Data mining, with applications that span across various domains, mainly in Cyber-security, but also in healthcare or form recognition.
General Objectives
•Correlation of the master's degree programs of the Faculty of Mathematics and Informatics with those of the other similar faculties , both in the country and abroad
•Development of knowledge specific to the field of cyber security
•Development of students' cognitive, application-practical, communication and relational skills
•Developing students' research skills
•Development of attitudes corresponding to the ethical norms in the field
Specific Objectives
•Acquiring practical skills in innovative fields in the field of the Computer Science
•Acquiring thorough knowledge in the field of Cyber Security
•Acquiring thorough knowledge and skills in the field of Machine Learning
•Use of software technologies specific to the field of Information Security, respectively Machine Learning
•Constantly updating professional knowledge, in relation to the latest developments in the field
•Carrying out an interdisciplinary and transdisciplinary approach, by applying computer knowledge in related fields of activity
| 1st year | 2nd year |
| Security of databases
Machine Learning Advanced Programming Elements Specialization Practice Distributed Networks Systems Data Mining Advanced Database Systems Etics and Academic Integrity |
Applied Criptography
Semantic Web and Ontologies Specialization Practice Security of web applications Software security: Documentation and Research Activity for Dissertation Work Preparing Dissertation Thesis |
| 1st year | 2nd year |
| Malware Analysis
Pen Testing Cyber Security Simulation and Visualization Tools E-Commerce Security Wireless and Mobile Devices Security Programming Applications under OS Linux Cryptography Advanced Techniques |
Form Recognition and Data Search in the Web
Information Technology and Communications Forensics Cyber Security Entrepreneurship Data Mining in Relational Databases Online Threats to Modern Organizations Cloud Computing Architectures |
Languages and technologies
Technologies APIs used in malware analysis, network and system penetration testing software tools, middleware technologies, virtualization technologies, RMI, CORBA, Android application development platforms, wireless technologies, P2P systems, Cloud computing
AlgorithmsMachine Learning algorithms, such as classification algorithms, clustering, regression algorithms, probabilistic algorithms, neural networks, Deep Learning
Programming Languages:: C/C++, G++, C#, Python, Java, SQL, Javascript
Databases Relational Database Management Systems, Database Security Models, Distributed Database Systems, Multidimensional data, analysis, NoSQL, NewSQL, data warehouses
Software security:security measures, network security, mobile device security (Android and IOS), RFID security, IoT device security assessment, distributed systems security
Other activities
The "Ovidius" University of Constanţa has an active partnership with "Titu Maiorescu" University of Bucharest, through which "Ovidius" University students, and especially CSML Master's students, have access to the Virtual Software Testing Laboratory, established and funded by "Titu Maiorescu" University, within a project funded by the European Social Fund. The students of the CSML Master 's programme participate in the realization of the specialization practice activities within the project "Practice internships in the center of excellence in cyber security in the cloud - CyberX", project led by "Titu Maiorescu" University.
We mention the partnership between "Ovidius" University and SAS, the market leader in the field of data analysis. During the Master courses, CSML master's students acquire knowledge and skills to use the software packages provided by SAS, such that the graduates of the CSML master's program will finally obtain double certification from SAS, on the topics of Data Science and Machine Learning.
Perspectives
Graduates of the master's program Cyber Security and Machine Learning can work in the IT field, in specialized IT companies, as well as in companies in various fields of activity, to ensure their computer security needs. Among the positions for which CSML masters graduates are qualified, we specify Computer Security Consultant / Analyst / Administrator, Cyber Security Auditor, Cyber Security Expert, but also Data Analyst, Machine Learning Engineer or Computer Systems Programmer. The qualification most suitable for the graduated is Specialist in computer systems security procedures and tools (COR 251402).