Data Science offer holder days
As part of your offer holder day at Sheffield, you'll be spending some quality time getting to know the Information School and your chosen course.
Arriving at the department
You will have booked to visit us 10am to 12.30pm or 2pm to 4.30pm on your offer holder day. Please arrive in good time for the start of your booked session, as we'll need to scan the QR code from your booking to register you. Refreshments will be available on arrival.
Your arrival location is: The Wave, Seminar Room 11. You can view this on our interactive campus map, and there will also be lots of open day staff and ambassadors around campus to assist you.
If you arrive late for your booked session, please report to the general information stand on the Students’ Union concourse, where event staff will be able to help.
When booking, you'll be able to reserve a place for yourself and one guest at the department activities. To ensure safe venue capacities, the department will be unable to accommodate any additional unbooked visitors.
However, you're welcome to bring additional guests to accompany you on the day, and we would encourage these guests to take part in our range of central exhibitions and tours while the department activities are running.
Data Science offer holder timetable
You will have booked to visit the school 10am to 12:30pm or 2pm to 4:30pm on your offer holder day. Here's what to expect from your time with us. Timings are approximate and are subject to change, and so we recommend checking back prior to the event.
|
Duration |
Student activity |
Summary of activity |
|---|---|---|
|
50 minutes |
Welcome and course talk |
Members of our academic teaching staff and student ambassadors will welcome you to your offer holder day, provide you with an introduction to our Data Science course at Sheffield, and introduce the topics covered in today’s session. |
| 10 minutes | Q&A | A chance to ask staff and student ambassadors any questions you have about the course, the University or the city. |
|
45 minutes |
Machine Learning Design Thinking Workshop |
Students will take part in a short lecture about machine learning in the context of smart watches. You will then be put into groups to consider machine learning applications that could be developed to address some of the issues raised in the lecture. |
| 15 minutes | Panel session on FATES issues | A short panel session discussing the ways in which Data Science and Machine Learning can run into issues around Fairness, Accountability, Transparency, Ethics and Security (FATES), and how these problems can be mitigated. |
For the rest of the day, you'll have time to take part in the central tours and exhibitions detailed in our offer holder day guide.
How to book
Please book your place on the offer holder day via the link in your invitation email.