Knowledge Transfer
Between Academia and Industry

Data literacy is becoming essential across nearly all academic disciplines. However, connecting academic theory with modern software, live data engineering challenges, and commercial business scenarios is not always straightforward.

Helping Students bridges this gap.

The Information Lab integrates field experience derived from client consulting, technical training, and cloud data architecture into university curricula. Students learn to parse, transform, analyse, and visualise complex datasets clearly. Academic institutions gain practical industry perspectives to complement theoretical course content, students receive guidance on potential career pathways, and The Information Lab remains connected with emerging talent.

Core
Engagement Formats

  • Guest Lectures & Academic Presentations
    Integrating visual analytics & Data Engineering best practices into active courses
  • Hands-On Technical Workshops & Hackathons
    Introductory software labs in Tableau, Alteryx, Power BI, & dbt with live case studies
  • Academic Thesis Supervision & Research Support
    Providing technical & methodological steering for empirical Bachelor’s/Master’s theses
  • Career Days & Panel Discussions
    Participating in campus career fairs, industry panels, & technology workshops

Flexible Cooperation


Helping Students adapts seamlessly to existing course schedules, semester plans, or university events, whether as a single guest lecture, a multi-day workshop series, a case study competition (hackathon), or a joint research initiative.


Curricula are tailored to align with your student body’s academic level and discipline, maintaining a strict focus on practical business scenarios, modern technologies, and clear knowledge transfer.

Getting Started with TIL+

Whether it’s a workshop, university cooperation, or joint learning format, we develop an approach that fits the target group, topic, and academic context. Together, we determine which format offers students the greatest practical benefit.

Porträt einer lächelnden Frau mit lockigem Haar, Brille und einem weißen T-Shirt, vor einem unscharfen Hintergrund.

Romina Wiechern

Engagement Specialist

Startseite- & Serviceskontakformular ENG

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Frequently Asked Questions

Who is the Helping Students program designed for?

Our formats are tailored for university faculties, academic lecturers, and institute leads seeking to complement theoretical curricula with practical data literacy. The program is not restricted to computer science or IT faculties; it intentionally includes business administration, economics, social sciences, and humanities, where data analytics capabilities are becoming vital.

What specific topics are covered in lectures and workshops?

Focus centers on practical methodology derived from corporate consulting delivery. Consultants from The Information Lab demonstrate through real-world client scenarios how complex, unstructured datasets are cleansed, modeled, and visualised using market-leading platforms (such as Tableau, Microsoft Power BI, or Alteryx). Students learn the complete workflow from raw data to dependable business decision-making.

Do students need prior experience with specific analytics software?

No. Workshops and guest lectures are modular and engineered to match the students’ pre-existing technical background. For introductory cohorts, we teach foundational principles of data visualisation and visual perception. For advanced Master’s classes or specialised seminars, we deliver deep-dives into Data Engineering, dbt modeling, or hands-on hackathons.

What cooperation formats are available for higher education institutions?

Collaboration is highly flexible, ranging from a single 90-minute guest lecture to multi-day block seminars or case study competitions (hackathons). Additionally, subject to alignment, The Information Lab provides technical steering for empirical Bachelor’s and Master’s theses or university research projects with a relevant analytics focus.

Are there any costs for universities or academic departments?

No. The Information Lab views its engagement within Helping Students as a pro-bono contribution to fostering future data talent and supporting academic knowledge transfer. Guest lectures and academic workshops for public universities and higher education institutions are generally conducted free of charge.

How can faculties and lecturers initiate a collaboration?

An initial inquiry can be submitted via our contact form. During a preliminary scoping call, we evaluate your planned semester topics, schedule constraints, and desired outcomes to select the format that delivers maximum practical value for your students.