Through its multidisciplinary integrated design, the MIR program aims to integrate 4 academic subjects, marine science, maritime technologies, AI and robotics resulting in a program which is globally unique and highly competitive.
The main learning outcomes general to all study tracks of the MIR master program include:
Discipline oriented learning outcomes qualifying MIR master’s students to
- have a deepened understanding of marine processes and challenges in order to develop robots that will interact in-and-with it, as well as develop technological solutions to mitigate and adapt to future environmental challenges (such as pollution, climate change impacts, etc.)
- master the spectrum of sensors/actuators specific to underwater and sea-surface robotics. Understand their functions, limitations and be capable of implementing them on robots and using them.
- be capable of modelling external forces onto robotic systems and use simulation tools to predict the behaviour in a marine environment.
- develop and use a general framework for mission planning, programming, and execution of single and multiple, networked marine robots working in cooperation. Master the theoretical foundations and practical aspects of networked control systems and distributed estimation and control.
- be experts in data-driven computational approaches to sensing, control, decision-making and autonomous behaviour. Provide maritime robots with Artificial Intelligence (AI) capabilities ranging from perceptual abilities to autonomous motion and navigation planning.
- be proficient in the main Machine Learning techniques and paradigms applicable to robotics. Know the state-of-the-art in ML-based solutions to robotic-specific problems, including Deep Learning applications to computer vision, acoustic sensing and reinforcement learning.
- tackle surface and underwater technological applications in coastal, offshore, deep sea environments relevant to maritime navigation, surveillance, environmental monitoring, geotechnical surveying, offshore oil and gas, ocean farming, and renewables industries.
Transferable Skills learning outcomes include qualifying MIR Masters students to:
- apply the necessary communication and research skills for integrated team work
- manage innovation projects and systematically assess risks and reliability issues
- recognize technical, financial, ethical and regulatory boundaries to AI and marine technological innovations development and operation
- have an in-depth understanding of blue growth industry sectors and innovation technology development opportunities.
MIR students according to selected study track will be able to specialise and master the following learning outcomes.