Applied Computer Science and Society (MSc)

Our thesis-based program is designed to provide an excellent basis for a PhD in computer science or other related fields. Our graduates in the course-based program are well-qualified for employment in industry, the public-sector, and academia.

Advanced Machine Learning - This course covers core machine algorithms, however, emphasis is placed on research-level machine learning methods and theory. Students acquire considerable knowledge in algorithms for classification, clustering, regression and dimensionality reduction. Natural Language Processing and Deep Learning Methods will be explored. Evaluating predictive quality of the algorithms and assessing credibility of learned patterns with statistical methods are covered extensively.

Advanced Concepts in Cloud Computing - This course provides extensive coverage of major subjects in Cloud Computing. It gives an overview of Cloud Computing and explains its main service delivery models, deployment architectures, and key enabling technologies such as virtualization, parallel computing, and Big Data analytics. Students will acquire considerable knowledge in Cloud data and resource management, design patterns, security and privacy challenges and solutions, as well as commercial and open-source Cloud systems.

Theory and Practice of Security and Privacy - This course provides students with an understanding of theoretical and practical aspects of security and privacy and opens them up to the current research challenges in this area. Topics include classical cryptography, symmetric encryption, public key cryptography, key distribution mechanisms, digital signature, entity and message authentication, access control, multimedia security and digital right management, secret sharing, physical security, privacy preserving techniques such as data aggregation, perturbation, k-anonymity and l-diversity.

• Complex Adaptive Systems
• Web and Document Databases