Digital skills and generative AI events
Digital skills and generative AI events from 2025
Making the most of the Careers Resources Portal (23 September)
23 September 2026, 12:00 pm to 1:00 pm
A brief introduction to our Careers Resources Portal, packed with interactive tools, tips and information.
LinkedIn: Using Social Media to get ahead of the game (25 September)
25 September 2026, 12:00 pm to 1:00 pm
Learn to optimise your LinkedIn profile, grow your network, research careers and maximise your visibility to recruiters
Getting started: A guide for mature students (25 September)
25 September 2026, 12:00 pm to 1:30 pm
Returning to study? Start your university journey with confidence.
Academic Writing Lab: How to Unpack and Answer Assignment Briefs (28 September)
28 September 2026, 4:00 pm to 5:30 pm
What do lecturers look for? Learn about assignment briefs, marking rubrics, learning outcomes and appropriate AI use.
Introduction to Spreadsheets (30 September)
30 September 2026, 12:00 pm to 2:00 pm
A beginner level guide to Google Sheets and Excel, including formatting, formulas, and spreadsheet vocabulary.
Think Space Study Advice (30 September)
30 September 2026, 12:30 pm to 3:00 pm
Got a study question? Drop in and get expert support.
Academic Writing Lab: How to Unpack and Answer Assignment Briefs (1 October)
1 October 2026, 12:00 pm to 1:30 pm
What do lecturers look for? Learn about assignment briefs, marking rubrics, learning outcomes and appropriate AI use.
Vision Board Workshop - set and achieve your goals!
5 October 2026, 10:00 am to 12:00 pm
Digital Vision Board Workshop - Take the chance to fuel your enthusiasm, establish significant objectives, and explore the skill of bringing your best self to life.
Academic Writing Lab: Using Evidence in Your Writing (5 October)
5 October 2026, 4:00 pm to 5:30 pm
New to writing with sources? Understand how to use evidence in your writing effectively. Includes appropriate AI use guidance.
Practical Statistics: Introduction to Statistics
6 October 2026, 12:00 pm to 2:00 pm
Statistics made simple: build confidence with numbers and data.