The taught element of the course is made up of 120 credits, plus a 60-credit dissertation. It can be completed over one year full-time, or two years part-time, plus an eight-month dissertation. There are PGDip and PGCert exit points.
Each of the four taught modules are organised into a series of approximately 10 units. These units involve a three-hour weekly class comprised of lecture, discussion and small-group work, and are supported by web-based materials. These will be prepare you for the session as well as facilitating follow-up reading, practice, exploration and discussion using a 'flipped' model.
You will have time for informal tutorial support and are encouraged to make use of text-based peer and tutor discussion opportunities. These can be found within the virtual learning environment which can be accessed from any networked computer on or off-campus.
We welcome students into the LSRI's community of masters and PhD students, postdocs and staff. A drop-in learning lunch is held weekly in term-time and regular seminars (streamed online when possible) are given by leading national and international academics.
Timing of sessions
Full-time students will need to commit two afternoons a week (currently Monday and Thursday) to attend taught modules, and part-time students one afternoon a week. Then there are a range of activities, seminars and group exercises on other days. You are expected to pursue directed private study at other times. Part-time students need to allocate one afternoon a week and can participate digitally in many of the wider activities.
This is not just about books. While the education and computer science library collection is excellent, you will also have access to experts, laboratories, other students, and digital technology itself. It will help to have your own laptop.
Each 30-credit module is assessed by a portfolio of work equivalent to 6,000 words. To complete the masters, you must achieve a pass of 50 on each assignment.
The 15,000-word dissertation is an original piece of work and typically involves actively researching an aspect of digital teaching and learning.
To ensure your application is considered in time, please note the following dates:
|Mode of study||Status||Start date||Application deadline|
||23 September 2019
||12 August 2019
||23 September 2019
||2 September 2019