Robot Technology and Signal Processing - Master of Science Degree Programme


Study programme description for study year 2024-2025

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 Robotics and Signal Processing 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 signal processing and specialized insight into robotics, automation and machine learning (AI).

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:

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  • Compulsory courses

    • ELEMAS: Master Thesis in Robot Technology and Signal Processing

      Year 2, semester 3

      Master Thesis in Robot Technology and Signal Processing (ELEMAS)

      Study points: 30

      Read full course description

  • Profile selection

    • Profile selection Health Technology

      • Elective courses or Exchange Studies semester 3

        • Courses at UiS 3rd semester

          • Elective courses 3rd semester

          • Other elective course 3. 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

        • Exchange 3rd semester

    • Profile selection Robotics

      • Elective courses or Exchange Studies semester 3

        • Courses at UiS 3rd semester

          • Recommended elective courses 3rd semester

          • Other elective courses semester 3

            • DAT530: Discrete Simulation and Performance Analysis

              Year 2, semester 3

              Discrete Simulation and Performance Analysis (DAT530)

              Study points: 10

              Read full course description

            • DAT540: Introduction to Data Science

              Year 2, semester 3

              Introduction to Data Science (DAT540)

              Study points: 10

              Read full course description

        • Exchange 3rd semester

  • Compulsory courses

    • ELE500: Signal Processing

      Year 1, semester 1

      Signal Processing (ELE500)

      Study points: 10

      Read full course description

    • 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 Thesis in Robot Technology and Signal Processing

      Year 2, semester 3

      Master Thesis in Robot Technology and Signal Processing (ELEMAS)

      Study points: 30

      Read full course description

  • Profile selection

    • Profile selection Health Technology

      • 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

            • ELE640: Applied Signal Processing with artificial intelligence

              Year 2, semester 3

              Applied Signal Processing with artificial intelligence (ELE640)

              Study points: 10

              Read full course description

            • ELE670: Medical Imaging with AI Integration

              Year 2, semester 3

              Medical Imaging with AI Integration (ELE670)

              Study points: 10

              Read full course description

            • ELE680: Deep Neural Networks

              Year 2, semester 3

              Deep Neural Networks (ELE680)

              Study points: 5

              Read full course description

            • ELE690: Project course

              Year 2, semester 3

              Project course (ELE690)

              Study points: 5

              Read full course description

        • Exchange 3rd semester

    • Profile selection Robotics

      • 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 courses semester 3

            • DAT530: Discrete Simulation and Performance Analysis

              Year 2, semester 3

              Discrete Simulation and Performance Analysis (DAT530)

              Study points: 10

              Read full course description

            • DAT540: Introduction to Data Science

              Year 2, semester 3

              Introduction to Data Science (DAT540)

              Study points: 10

              Read full course description

            • ELE690: Project course

              Year 2, semester 3

              Project course (ELE690)

              Study points: 5

              Read full course description

        • Exchange 3rd semester