Economics MSc
Programme code(s): 5464F
Your Welcome Week programme runs from 16 to 19 September 2025.
To help you transition smoothly into university life, we've designed this bespoke schedule for your course. It contains a mix of informative sessions, networking opportunities and fun activities.
Some activities are specific to your course, while others will introduce you to opportunities and events across the wider University.
You'll find a list of your activities below. Click on an activity title to show the activity description.
Please note that:
- all activities may be subject to change. Check back regularly for the most up-to-date information
- your activities may be a mix of in-person and online sessions. If applicable, links to online sessions will be provided in the activity description
- some activities may require sign-up in order to attend. If applicable, sign-up links will be provided in the activity description
- most sessions are compulsory, but some are optional – this will be specified in the activity description
You can also visit our welcome pages – they're filled with lots of useful information for you in the lead up to you joining us.
Mathematics and statistics preparation course
As part of induction, those who join our Economics postgraduate programmes will be required to undertake a preparation course in mathematics and statistics to support their transition onto the programmes. This will be alongside our week-long postgraduate induction schedule.
There is no preparation required prior to taking part and you can find out more details about the preparation course below.
The benefits of undertaking the preparation course:
- by covering mathematics and statistics comprehensively and employing a hands-on, problem-solving approach, you will be prepared for the core topics in our economics programmes
- you will be equipped with the essential mathematical and statistical skills required to excel in various economics courses. By participating in this intensive course, you will gain a comprehensive understanding of key concepts, fostering a solid foundation for your academic journey
- you will develop the skills and confidence necessary to engage with complex economic models, analyse data, and make informed decisions based on statistical and mathematical insights
Active participation is encouraged during these sessions, to help you to develop skills and deepen your understanding of mathematics and statistics.
You will be expected to take notes during these sessions to reinforce your learning and refer back to them when needed, therefore pen and paper is recommended.
What does the preparation course include?
The course adopts a highly interactive approach to learning and teaching, drawing upon the principles of active learning theory. You will actively participate in the learning process through various engaging activities and discussions.
You will have the opportunity to work both individually and in small learning groups, to foster the exchange of ideas, discussions, and improved learning from different perspectives.
There will be no self-directed study or homework required in addition to the sessions listed above.
There will be further sessions week commencing the 22 September, but these are listed on your academic timetable.
10:00 – Newcastle Challenge – NUBS 1.03
Time: 10:00 to 12:00
Venue: Newcastle University Business School (NUBS), room 1.03
Event for Master's students in the Business School. Work collaboratively to tackle a sustainability challenge – a great opportunity to get to know your peers and become a global systemic thinker.
09:30 – Personal Tutor Meetings – TBC
Time: 09:30 to 11:00
Venue: Various TBC (Newcastle University Business School/Frederick Douglass Centre)
Attendance: Compulsory
Come to a group meeting with your allocated Personal Tutor. They will be your own point of contact during your programme for advice and guidance on personal and academic matters. You will be notified of your Personal Tutor and room details by email.
Changes to Personal Tutor sessions may be required due to staff availability.