Learning from people working at the forefront

Guest lectures are a regular part of the Applied Data Science & Artificial Intelligence programme. Professionals, researchers, entrepreneurs and specialists from different fields bring current developments, real-world challenges and practical experience directly into the classroom.

These sessions complement the curriculum with perspectives that cannot come from courses alone. They connect technical concepts to their use in organisations, research groups and society, while exposing students to different roles, industries and ways of approaching data and artificial intelligence.

Guest lecture at the Applied Data Science and Artificial Intelligence programme
Rıza Özçelik giving a guest lecture on machine learning for drug discovery, including generative molecular design and chemical language modeling.

More than a lecture

Industry connection

Guest speakers bring concrete cases, technologies and decisions from professional practice into the programme, helping keep education connected to developments outside the university.

New perspectives

Researchers and practitioners often approach the same problem differently. Exposure to these perspectives broadens understanding of how data science and AI are applied across disciplines and organisations.

Building networks

Guest lectures create informal connections between students, faculty and external organisations. These encounters can later develop into projects, internships, research collaborations or professional opportunities.

Contributing a guest lecture

The programme welcomes contributions from professionals, researchers, founders, alumni and other specialists working with data, artificial intelligence or related fields. Topics can range from technical deep dives and research developments to case studies, lessons from practice, ethical questions and emerging applications.

A guest lecture is also an opportunity for exchange between education and professional practice. It provides a setting to share work with a technically engaged audience, meet emerging talent and connect with lecturers working across data science and AI.

Share expertise Present a project, method, research result, challenge or professional experience.
Meet emerging talent Engage with students developing skills in data science, machine learning and artificial intelligence.
Exchange ideas Discuss current questions with students and academic staff and gain perspectives from outside the organisation or research group.
Create new connections Guest sessions can become a starting point for student projects, internships, research, recruitment or broader collaboration.

Interested in contributing?

Suggestions for guest lectures are welcome throughout the academic year. Sessions can be technical or non-technical and can focus on a project, research topic, industry challenge, emerging technology or lessons learned from practice.

For guest lecture enquiries, please contact the guest lecture coordinator Alican Noyan.