Students are able to use and develop the theoretical knowledge acquired in BSc courses at a more advanced level. These skills are applicable in work opportunities, such as the development, creation, implementation, introduction, operation, and service of IT systems. Computer engineers have the skills and abilities to enable them to use computer systems for a specialized purpose. Trained students can apply their knowledge in creative ways that result in new inventions in fields such as:
Formatting complex IT problems, examining the theoretical and practical background for their solution;
Completing tasks connected with planning, developing, operating and managing related to the operation of complex software systems;
Assessing the business, marketing and innovative values of planned or implemented IT systems, validating software products;
Planning and implementing specific tasks in quality management.
Syllabus
Machine Learning Basics, Algorithms, Cryptography, Optimization Algorithms, Information Systems, Data Mining, Computer Graphics, Operation Research, Advanced Inference Methods, Logical Algorithms, Advanced Software Architecture Patterns, Advanced XML Technologies, NoSQL Databases, Sensor Networks and, the Internet of Things, Parallel and High-Performance Computing.
Geometric Modelling, Coding Theory, Theory of Neural Networks, Models of Computation, Declarative Programming, Visualization and Visual Analytics, Data Science lab, Advanced Machine Learning, Text and Web Mining, Information Systems in Practice, Advanced Software Engineering, Thesis.
Career prospects
Computer Science, MSc graduates have many more opportunities than computer science BSc graduates in the labor market since they are capable of initiative cooperation with professionals from other fields of science in project or team work. They can also interpret, plan, manage, and control processes in their specialization at a management level. Graduates who are interested in scientific research work can continue their studies in the doctoral school of the faculty, where they can choose a PhD course and acquire academic qualifications.
Required Documents
Relevant Bachelor’s degree in information technology
Entrance Exam.
English language proficiency (IELTS 6.0) OR equivalent OR University of Debrecen oral examination.