Cybernetics and Applied AI - Master of Science Degree Programme


Study programme description for study year 2025-2026. Please note that changes may occur.

Facts

Credits (ECTS)

120

Studyprogram code

M-ROBOT

Level

Master's degree (2 years)

Leads to degree

Master i teknologi / sivilingeniør

Full-/Part-time

Full-time

Duration

4 Semesters

Undergraduate

No

Language of instruction

English, Norsk

Offered by
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Learning outcomes

A candidate with a completed and passed two-year master's degree in Cybernetics and Applied AI must have the following overall learning outcomes defined in terms of knowledge, skills and general competence.

Knowledge

K1: The candidate has advanced knowledge in cybernetics and applied AI and specialized insight into robotics, automation and machine learning.

K2: The candidate has in-depth knowledge of the field's scientific theory and methods.

Skills

F1: The candidate must be able to evaluate and develop systems and methods for monitoring or automating processes.

F2: The candidate can use relevant methods for research and professional development work in an independent way.

F3: The candidate can analyze and relate critically to various sources of information and use these to structure and formulate academic reasoning within cybernetics and signal processing.

F4: The candidate can carry out an independent, limited research or development project under supervision and in line with current research ethics norms.

General competence

G1: The candidate can analyze relevant professional, professional and research ethical issues.

G2: The candidate can apply his knowledge and skills in new areas to carry out advanced tasks and projects.

G3: The candidate can convey extensive independent work and masters the subject's forms of expression.

G4: The candidate can communicate about professional issues, analyzes and conclusions within the subject area, both with specialists and to the general public.

Study plan and courses

Enrolment year: 2025

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  • Compulsory courses

    • ELE500: Signal Processing

      Year 1, semester 1

      Signal Processing (ELE500)

      Study points: 10

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    • ELE510: Image Processing and Computer Vision

      Year 1, semester 1

      Image Processing and Computer Vision (ELE510)

      Study points: 10

      Read full course description

    • STA500: Probability and Statistics 2

      Year 1, semester 1

      Probability and Statistics 2 (STA500)

      Study points: 10

      Read full course description

    • ELEMAS: Master's Thesis in Cybernetics and Applied AI

      Year 2, semester 3

      Master's Thesis in Cybernetics and Applied AI (ELEMAS)

      Study points: 30

      Read full course description

  • Choose Specialisation

    • Specialisation Cybernetics

      • Compulsory courses

      • Choose one course

      • Elective courses or Exchange Studies semester 3

        • Courses at UiS 3rd semester

          • Choose one course

            • IND510: Project Management

              Year 2, semester 3

              Project Management (IND510)

              Study points: 5

              Read full course description

            • IND650: Innovation Management and Entrepreneurship

              Year 2, semester 3

              Innovation Management and Entrepreneurship (IND650)

              Study points: 10

              Read full course description

          • Recommended elective courses 3rd semester

          • Other recommended elective courses 3rd semester

            • DAT530: Discrete Simulation and Performance Analysis

              Year 2, semester 3

              Discrete Simulation and Performance Analysis (DAT530)

              Study points: 10

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            • DAT540: Introduction to Data Science

              Year 2, semester 3

              Introduction to Data Science (DAT540)

              Study points: 10

              Read full course description

        • Exchange 3rd semester

    • Specialisation Applied AI

      • Compulsory courses

      • Elective courses or Exchange Studies semester 3

        • Courses at UiS 3rd semester

          • Choose one course

            • IND510: Project Management

              Year 2, semester 3

              Project Management (IND510)

              Study points: 5

              Read full course description

            • IND650: Innovation Management and Entrepreneurship

              Year 2, semester 3

              Innovation Management and Entrepreneurship (IND650)

              Study points: 10

              Read full course description

          • Recommended elective courses 3rd semester

          • Other elective course semester 3

            • DAT640: Information Retrieval and Text Mining

              Year 2, semester 3

              Information Retrieval and Text Mining (DAT640)

              Study points: 10

              Read full course description

        • Exchange 3rd semester