The Maersk Mc-Kinney Moller Institute
www.mip.sdu.dk
International Master’s Degree in Modern Artificial Intelligence
This 2-year international programme aims at providing you with
competences that will enable you to incorporate advanced artificial
intelligence in robots, enabling them to behave intelligently and
autonomously.
Well-qualified students, who have completed a bachelor’s degree in
electronics, mechanical or software engineering (or a closely related
discipline), are invited to carry out two years of study for the degree
of MSc in Modern Artificial Intelligence at the AdapTronics Group, The
Maersk Mc-Kinney Moller Institute, University of Southern Denmark.
Contents of the programme
The first year of the programme is course work, where students follow
courses in classical artificial intelligence, behaviour-based artificial
intelligence, neural networks, genetic algorithms, machine learning,
adaptive robots, and in a final course the student is introduced to the
research areas of modular robotics and biomemetic robots where the
AdapTronics Group is world-class. The theoretical material taught in
these courses will be tried out on real robots in hands-on projects.
This 1st-year study programme is supplemented with elective courses
in traditional robot control and software engineering. The second
year of the programme is spent working towards a Master’s thesis.
The choice of thesis topic is open, but common topics include shapechanging robots, intelligent playgrounds, biomimetic robots and
underwater robots.
The degree, with its unique combination of theoretical work in artificial intelligence and hands-on, practical work with robots, qualifies
graduates for employment in industry or further study towards the degree of PhD. Further information: www.sdu.dk/Nat/fak/studyscience/
index.html.
Researchers in the AdapTronics Group include well-known Modern AI
researchers such as Henrik Hautop Lund, John Hallam, Kasper Støy,
Yves Demazeau and Luigi Pagliarini.
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Master of Science in Modern Artificial Intelligence
Compulsory courses (30 ECTS points)
AI00 Fundamentals of Artificial Intelligence (5 ECTS points)
AI01 Tools of Artificial Intelligence (5 ECTS points)
AI02 Adaptive Robots (5 ECTS points)
AI03 Advanced Topics in AI (5 ECTS points)
AIP01 Project in Artificial Intelligence (10 ECTS points)
Optional courses (10 ECTS points)
ECA00 Introduction to embedded control and automation (5 ECTS point) and
ECO10 State machines (5 ECTS point)
or
ROB00 Introduction to Robotics (5 ECTS point) and
ROB01 Image Processing (5 ECTS point)
or
SSE01 Introduction to Software Systems Engineering (5 ECTS point) and
SSE02 Software Evolution (5 ECTS point)
Elective courses (20 ECTS points)
Comprise the courses mentioned above as well as Master’s Degree courses offered
at The Faculty of Science and at The Faculty of Engineering
FORK (30 ECTS points)
Preliminary Investigation of the Thesis Domain Problem
Thesis (30 ECTS points)
Total Programme (120 ECTS points)
2nd year
1st year
AI03
AI02
AI01
AI00
THESIS
FORK
AIP01
ECO10/ROB01/SSE02
ECA00/ROB00/SSE01
Elective course 4
Elective course 3
Elective course 2
Elective course 1