Learning and assessment
How you will learn
We are preparing your tutorials, laboratory classes, workshops and seminars so that you can study and discuss your subjects with your tutors and fellow students in stimulating and enjoyable ways. While we will keep some elements of online course delivery, particularly while Covid-19 restrictions remain in place or where this enhances course delivery, teaching is being planned to take place in-person wherever possible. This will be subject to government guidance remaining unchanged.
We will use the best of digital technologies to support both your in-person and online teaching. We will provide live, interactive online sessions, alongside pre-recorded teaching materials so that you can work through them at your own pace. While the mix of in-person and digital teaching will vary by course, we aim to increase the proportion of in-person teaching in the spring term.
- Problem classes
- Computer labs
- Independent study
How you will be assessed
All assessments in the 2021/22 academic year will be delivered online unless there is a professional accreditation requirement or a specific need for on-campus delivery and in-person invigilation.
- Programming tasks
The mathematics modules of the course are assessed by:
- Written reports
- Oral reports
- Programming tasks
The economics modules of the course are assessed by:
You will be awarded the Master of Science Degree provided you have successfully completed the taught stage by achieving a weighted average mark of at least 50% with no more than 40 credits below 50% and no more than 20 credits below 40%.
You must achieve a mark of at least 50% in the dissertation.
Contact time and study hours
The number of formal contact hours varies depending on the optional modules you are studying. As a guide, in the Autumn and Spring semesters you will typically spend around 15 hours per week (between Monday and Friday) in lectures.
You will work on your research project between June and September, usually based at the University.
Teaching is provided by academic staff within the School of Mathematical Sciences and the School of Economics. Modules are typically delivered by Professors, Associate and Assistant Professors. Additional support in small group and practical classes may involve PhD students and post-doctoral researchers.
The majority of your lecturers and tutors will be based within the mathematics building. This means if you need to get in touch with them during office hours, they can be contacted easily as they are close by.
Class sizes are typically no more than 20 students.