Course Announcement

As academic courses are further boosting qualified professionals to fit the challenges of a knowledge-based society that is relying more extensively on our sustainable relationship with the earth and oceans, there is a growing need to qualify the skills of students in the efficient handling of data. This is the evolving scenario that elevates the value of data, in particular that related to the sea, and its transformation into information and knowledge in the context of the digital age, spearheading the evolution of marine services to match stakeholder demands, and boosting research and innovation applications, such as within the ambit of Blue Growth and Mission Ocean – the European Commission’s initiatives to further harness the potential of Europe’s oceans, seas and coasts, for sustainable development, jobs and value.

This is the background against which SEA-EU is offering a joint intensive course engaging some of its best expert academics from its member universities to deliver a training programme dedicated to data harvesting and harnessing. If you are a student pursuing to complete your undergraduate studies, doing research (MSc or PhD) based on the specialised use of data, or you are already at work and need to empower your skills in data science, then this is your opportunity to sharpen your talents and learn in one spot how to search, understand, handle and exploit data in one single dedicated formative intensive course. Through this course, SEA-EU is showcasing the benefit of merging academic excellence across the alliance universities to offer students a unique setting for a cross-university experience, through a joint delivery, with exchange and teamwork between students from different European countries in a common shared academic environment.

Course overview The course tackles the full range of data types, covering the different data acquisition and generation platforms (e.g. observations and models), and including the merging of data of diverse nature (e.g. socio-economic and ecological) including non-scientific and qualitative data (eg resource tracking and mapping, demography, performance statistics, etc).

The course adopts a practical and hands-on approach throughout so that concepts and methods are delivered through examples and real applications, especially those related to the marine and maritime contexts. The delivery of the course is expected to apply a blended approach where students would be offered options with a mix of online and physical delivery. The course is planned in three linked but distinct components (introductory, intensive and project phases), for a total of 50 hours spread over a period of two months, October/November each year.

The execution of the course is done jointly by the partner universities and coordinated by a Board of Studies supported ex ufficio by Prof. Aldo Drago, (aldo.f.drago@gmail.com) who had started the course concept and continues to support its development. The hosting and organisation of the intensive practical week will be done on a roster basis, with the host/lead university rotating every year between the participating universities. For the academic year 2023/24 the University of Split is the host under the coordination of Prof. Jadranka Šepić and Prof. Frano Matić ( MarineDataLiteracy@unist.hr).

The course does not carry tuition fees and is open to any candidate (even students outside SEA-EU and from non-academic institutions) who satisfies the criteria for eligibility to apply to the course. Please refer to the application section for more details.

Applicants who can avail themselves of ERASMUS+ funding through a dedicated Blended Intensive Programme (BIP) need to apply accordingly. This will enable them to get support to attend the practical week in Split. Other students will be able to follow an online version of the practical that will run separately in February/March 2024.

For more info on the course please follow the details in the course website , contact the members of the Board of Studies or the Course Secretariat through Audrey Zammit (audrey.zammit@um.edu.mt).

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