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
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.
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.
Candidates for the masters degree who fail to reach the required standard for the award may be awarded a Postgraduate Diploma or a Postgraduate Certificate under certain circumstances.
Contact time and study hours
The number of formal contact hours and class sizes vary depending on the optional modules you are studying. As a guide, in the Autumn and Spring semesters you will typically spend around 12 hours per week between Monday and Friday in classes.
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. The majority of modules are typically delivered by Professors, Associate and Assistant Professors. Additional support in small group and practical classes may include PhD students and post-doctoral researchers.
Programming skills are not required for the course, however, several staff members are experts in computational aspects, including Sage to which some regularly contribute.
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.