Focus Academy Courses

Global Competencies and Multicultural Identity

📅 October 14-16-23 2025 (online)

📅 November 3-7, 2025 (on-site in Šiauliai, Lithuania)

📍 Šiauliai State University of Applied Sciences, Lithuania

The program introduces an innovative perspective on the key global competencies such as self-directed learning, entrepreneurship and multicultural identity. Working in an international team of students, academics and stakeholders from Italy, Romania and Lithuania students will learn about the key global competencies and how they can be developed. The course combines remote sessions and on-site meetings aiming to explore the topic of global competencies that are essential for success in the modern labour market. Participants, using different methods and techniques, will analyze their present competencies and learn the most suitable ways to develop them. An online learning platform with resources will be available to the participants throughout the digital phase of the program.

More information about application and benefits of this course are here.

Personal Health Data Management

📅 May 19-23, 2025 (online)
📅 June 16-20, 2025 (on-site in Jaén, Spain)
📍  University of Jaén, Spain
📅 June 9–20, 2025 (online)
📅 30–July 4, 2025 (on-site at Fisciano Campus of the University of Salerno, Italy)
📍 Fisciano Campus of the University of Salerno, Italy

Learn how to

  • Model, process, and visualize health data.
  • Address privacy and security concerns under GDPR.
  • Develop effective digital health solutions with a human-centered
    approach.

Participants will work collaboratively across disciplines such as computer science, healthcare, and management, ensuring a comprehensive learning experience.

More information about application and benefits of this course are here.

Data Analytics for Inclusion & Diversity

📅 May 19-23, 2025 (online)
📅 June 16-20, 2025 (on-site in Jaén, Spain)
📍  University of Jaén, Spain

Learn how to

  • select and apply appropriate statistical techniques to effectively analyse real-world datasets;
  • Proficiently use the statistical software R for data manipulation, visualization, and analysis.
  • Perform basic statistical analyses (e.g., descriptive statistics, hypothesis testing, and regression) and interpret the results in the data context.
  • Communicate the findings of statistical analyses clearly and effectively through both written reports and oral presentations.
  • Critically evaluate the assumptions, limitations, and ethical considerations of statistical analyses and the conclusions drawn.
  • Collaborate effectively in multidisciplinary and intercultural teams to address statistical challenges. 
  • Promote and apply principles of inclusion and diversity in statistical practice and teamwork, and foster an equitable learning environment.

More information about application and benefits of this course are here.