Machine Learning, and Cloud Computing and Internet of Things - Two New Master Programs in Computer and Information Technology

  Date
June 10th, 2020
  Author
New Masters - Machine Learning, Cloud Computing and Internet of Things

Two new Master programs will start from Fall 2020 in the Computer and Information Technology area:

Systems with artificial intelligence are increasingly present in all aspects of everyday life, from household items, to automobiles, to computer games, to mobile applications, and to the activities we carry out at work. The "Master of Machine Learning" program produces highly qualified specialists in the field of machine learning, able to develop efficient and high-performance artificial intelligence systems and to actively contribute to the evolution of the industry in this field. The main components on which the master's program focuses are: machine learning, deep learning, computer vision, and big data, which are becoming increasingly important in the development of current software systems, especially those with artificial intelligence.

Cloud Computing and Internet of Things are new stages in high-performance computing; they strongly contribute to the creation of the digital society. Intelligent transportation, smart cities, smart grids, smart agriculture, Industry 4.0 etc. cannot be envisaged without them. They include dynamic and modern areas such as sensors, big data, mobile communications, cyber systems, security, wireless communications and their future is promising: CAGR shows that the Internet of Things market will reach 560 billion dollars by 2022 and its grow will be 20% per year. The "Cloud Computing and Internet of Things" Master program produces highly qualified specialists in the edge fields of Cloud Computing and Internet of Things, able to contribute to the evolution of the industry in these fields.

With the two new programs, all the Master curricula in the Computer and Information Technology area have been restructured and updated. As a result, the four Master programs in the C&IT have a common structure, both simple and flexible:

1st Year 2nd Year
Semester 1 Semester 2 Semester 3 Semester 4
Core 1 Core 3 Core 5 Research 4
Core 2 Core 4 Core 6 Research 5
Elective 1 Elective 2 Elective 3
Research 1 Research 2 Research 3 Master Thesis Defense

Core Curriculum component

  • Contains the list of courses which define the respective Master program
  • Each semester, 2 courses must be elected, out of the course list of the corresponding Master program
 
  Master of Machine Learning Master of Cloud Computing and Internet of Things Master of Information Technology Master of Software Engineering
 

Elective Curriculum component

  • Supports individual choices for broadening the area of specialization, within the C&IT framework
  • Each semester, 1 course must be elected, out of the course list of any Master program in the field of Computer and Information Technology

Research Curriculum component

  • This component develops the research skills of the Master student over the four semesters of the program
  • Contains courses and activities directly related to research and Master Thesis development

 

More details can be found on the Master programs description page.