The courses and the study work in Master in Artificial Intelligence will lead students toward the learning outcomes described in Chapter 3 of this program description. Kristiania supports student achievement through good learning designs. This means that the students will encounter a variety of learning activities and forms of assessment throughout their studies, many of which will be relevant to the working life after graduation.

The program will require significant effort. Students can be assessed both during courses, for example by fellow students and lecturers with the aim of increased learning, and via exams, where the purpose is to measure the achievements award grades. In its entirety, the study program will provide a specialized competence within the artificial intelligence field.

In some courses, there may be compulsory activities. A compulsory activity is a requirement that must be approved to be able to sit for the exam. If a compulsory activity is not approved, the student loses the right to sit for the examination, until the activity(s) has been assessed as approved.

The student will be connected to our active learning and research facilities like the Artificial Intelligence Laboratory (TheAILab) and all research groups at the School of Economics, Innovation, and Technology working in the corresponding domain (MOTEL, AISE, SmartSecLab, and others).

Kristiania is committed to providing education relevant to working life, and will, in addition to academic teaching and assessment forms facilitate professional learning activities relevant to working life. The program’s academic teaching activities address both the students’ hard and soft skills and include the students as an integral part of the educational process. While the knowledge is accumulated through activities such as classical lecturing, individual and group presentations, project-based learning, and group/team tasks, these activities also aim to develop students' soft skills such as the communication skills, presentation skills, teamwork, problem solving, and project planning/management. The professional learning activities include invited guest lectures by experts in the field and industry, participation in professional and cutting-edge events, and professional workshops and events in which guest lecturers, external organizations, and business actors can participate.

In addition to timetabled teaching, Kristiania has available subject resources, including administrative staff, librarians, digital learning resources (e.g., online films), and student tutors. These can be contacted by the individual student if desired.

The course descriptions for each course provide an overview of the teaching and assessment forms in the individual courses. Home assignments and portfolio exams will often be used to test the students’ skills to develop an artificial intelligence project. Moreover, A-F grading according to the Norwegian grading scale is used as it matches the universal grading internationally. This facilitates student mobility and the degree evaluation in other countries. For additional information about the exam and compulsory activities, see Kristiania's website.

Studieprogram MAI

Master in Artificial Intelligence