From Qualifications to AI: Recent Student Learning Experiences at the University of Worcester and AGH University of Krakow

[ElizCayirli]

One of the core goals of the Qlik Academic Program is to help students develop practical analytics and AI skills that complement their academic studies and prepare them for the workplace.

Over the past few weeks, we had the opportunity to support two very different—but equally valuable—student learning experiences in the United Kingdom and Poland. While one focused on preparing students for the Qlik Business Analyst Qualification, the other explored advanced predictive analytics and AI capabilities with master's students looking to deepen their technical expertise.

Together, these sessions demonstrate the breadth of opportunities available through the Qlik Academic Program and the importance of connecting students with both industry-relevant skills and real-world technologies.

[ElizCayirli]

Preparing Students for the Qlik Business Analyst Qualification at the University of Worcester

At the University of Worcester, students recently participated in a two-day Qlik Business Analyst Qualification Bootcamp designed to help them build confidence with analytics concepts while preparing for the Qlik Business Analyst Qualification.

The bootcamp was led by Qlik Luminary Nick Seagrave, who generously volunteered his time and expertise to support the students throughout the event. The initiative was also supported by Peter Clews, Lecturer in Web Applications at the University of Worcester, and made possible through the collaboration of Richard Wilkinson, Head of Computing, whose support helped bring the idea from concept to reality.

Throughout the two-day session, students worked through key business analytics concepts, explored data visualization best practices, and gained hands-on experience building dashboards and analyzing data with Qlik.

The highlight came on the second day, when all students who attended the bootcamp successfully passed the Qlik Business Analyst Qualification and earned their qualification badges.

Beyond earning a qualification, the students gained practical analytics skills that can help strengthen their employability and demonstrate their capabilities to future employers. As organizations continue to invest in data-driven decision-making, experience with analytics tools and recognized industry qualifications can provide students with a valuable advantage as they enter the job market.

The bootcamp also highlighted the value of collaboration between academia and industry. By combining the expertise of university educators with support from Qlik professionals and community members, students were able to gain both academic and practical perspectives on modern analytics.

Exploring Advanced Predictive Analytics and AI at AGH University of Krakow

While the Worcester bootcamp focused on business analytics foundations and qualifications, a recent session in Poland took students into some of the more advanced areas of modern analytics and artificial intelligence.

Working with AGH University of Krakow, the Qlik Academic Program delivered an advanced hands-on workshop for master's students interested in predictive analytics and AI.

The session was led by Piter Harb, Senior Technical Trainer at Qlik, and organized in collaboration with Janusz Opiła and his colleagues at AGH University of Krakow. Janusz teaches a variety of courses in business informatics, advanced analytics, and AI, including master's-level modules, and is passionate about connecting students with practical technologies and real-world applications.

During the workshop, students explored advanced analytics concepts through practical exercises and demonstrations using Qlik's latest capabilities. Topics included predictive analytics, artificial intelligence, advanced data visualization techniques, and Model Context Protocol (MCP), providing students with exposure to technologies that are increasingly shaping the future of analytics.

Rather than focusing solely on theory, the session emphasized practical application, allowing students to see how AI-driven analytics can be used to generate insights, support decision-making, and solve complex business challenges.

The feedback from both students and educators was extremely positive, highlighting the value of providing direct access to industry professionals and cutting-edge analytics technologies as part of the learning experience. The university has already expressed interest in exploring additional collaboration opportunities, demonstrating the growing importance of advanced analytics and AI skills within higher education.

Supporting Students Across the Analytics Journey

Although these two sessions focused on very different topics, they shared a common objective: helping students build skills that are relevant in today's increasingly data-driven world.

Whether supporting students preparing for an industry qualification or introducing master's students to advanced predictive analytics and AI concepts, the Qlik Academic Program remains committed to helping educators provide engaging, practical learning experiences that connect academic knowledge with real-world application.

A special thank you to Nick Seagrave, Richard Wilkinson, Peter Clews, Piter Harb, Janusz Opiła, and everyone involved in making these sessions possible.

We look forward to continuing to support educators and students across EMEA through workshops, guest lectures, qualifications, and hands-on learning opportunities throughout the year.

Interested in bringing Qlik into your classroom?

The Qlik Academic Program provides free access to Qlik Cloud Analytics, Qlik Talend Cloud, AI and Machines Learning Capabilities, learning resources, qualifications, workshops, and educator support for accredited universities worldwide.

Learn more and join the program today: qlik.com/academicprogram