Welcome Hub 2026
Postgraduate Mathematics and Statistics students
Congratulations on your offer for a Masters programme at the School of Mathematics & Statistics!
Below, you'll find details of your induction meeting, as well as key information, guides and resources to support you as you register and begin your studies at the University of Glasgow.
Got a question?
Events
Induction meetings
For postgraduate taught Mathematics and Statistics students.
| Programme of study | Date | Time | Venue |
|---|---|---|---|
|
Statistics MSc Advanced Statistics MSc Data Analytics MSc |
Monday 14 September 2026 | 11:00 - 12:00 | Mathematics and Statistics Building, Room 116 |
|
Mathematics MSc Applied Mathematics MSc |
Tuesday 15 September 2026 | 10:00 - 11:00 | Mathematics and Statistics Building, Room 116 |
|
Data Analytics (Online Study) |
TBC | TBC | Online |
For help to find a building and get directions around the campus, visit:
Resources and Support
New Student Resources
- Postgraduate offer holders
- Registration and Enrolment
- T2G: Transition to Glasgow - Postgrad
- IT services for students
- Glasgow Anywhere Desktop (remote access)
- Our Systems (video about Moodle, MyCampus and more)
- Information for new students
Student Wellbeing and Inclusion
Find out about the range of specialist services and wellbeing support for students.
Our staff
Head of School
Programme Convenors
- Dr Andy Wand (Mathematics/Applied Mathematics)
- Dr Ruth O'Donnell (Statistics/Data Analytics)
- Dr Craig Wilkie (Statistics/Data Analytics)
- Dr Jenn Gaskell (Online Data Analytics)
- Dr Philipp Otto (Online Data Analytics)
- Dr Abdollah Jalilian (Online Data Analytics)
Masters Programme Content
Statistics
Postgraduate Programmes in Statistics Information Session, covering:
- MSc Statistics
- MSc Data Analytics
- MSc Advanced Statistics
Mathematics
Postgraduate Programmes in Mathematics Information Session, covering:
- MSc Mathematics
- MSc Applied Mathematics
Data Analytics (Online Distance Learning)
The session covers:
- MSc/Pgdip/PgCert Data Analytics (online learning)
Sample lecture
Watch this taster session for an idea of what you can expect from a lecture in Mathematics and Statistics.