Master's Programme in Information and Communication Technology
Master's Programme in Information and Communication Technology (5 years)
Language of instruction
On successful completion of this course, the student should be able to design, analyze, and implement advanced systems, or solve an advanced problem. Within the sub area the student chooses to specialize in, one can expect comprehensive knowledge and the ability to work out solutions. The student should also be able to identify relevant literature and apply theoretical models to the problems at hand.
The course is based upon ongoing research in the department or relevant needs of the industry, and deepens expertise within a focused application- or research area. Individually or in small groups, students specialize in topics that are approved by members of the academic staff. The topics should be relevant for the specialization profile the students have chosen. The students may be required to present scientific papers.
Pre-approved course topics for Information Technology students:
- Penetration Testing - Artificial Intelligence - Deep Neural Networks - eHealth (will share some lectures with the Artificial Intelligence topic) - Cisco Certification Professional CCPA
Pre-approved course topics for Communication Technology students:
- Mobile Radio Communications - Instrumentation - 5G and IoT: Advanced
Be aware that all topics in the seminar courses might not be available every semester.
Combination of lectures, assignments, paper studies, lab, and report writing. The tasks are done individually or in small groups with group supervision.
The work load for the average student is approximately 200 hours.
Assessment methods and criteria
Graded portfolio assessment. Information about the content of the portfolio will be given in LMS by the start of the semester for each seminar.
The study programme manager, in consultation with the student representative, decides the method of evaluation and whether the courses will have a midterm- or end of term evaluation, see also the Quality System, section 4.1. Information about evaluation method for the course will be posted on Canvas.