GY485
Dissertation - MSc Geographic Data Science and MSc Real Estate Economics and Finance
This information is for the 2021/22 session.
Teacher responsible
Programme Director
Availability
This course is compulsory on the MSc in Geographic Data Science and MSc in Real Estate Economics and Finance. This course is not available as an outside option.
Course content
The dissertation may be on any topic within the field of the MSc programme studied. Approval for the topic must be obtained from the relevant Programme Director.
Teaching
In the Department of Geography and Environment, teaching will be delivered through a combination of classes/seminars, pre-recorded lectures, live online lectures, in-person lectures and other supplementary interactive live activities.
This course is delivered through a combination of workshops and one to one supervision across Michaelmas, Lent and Summer Term.
Assessment
Dissertation (100%, 10000 words) post-summer term.
Course selection videos
Some departments have produced short videos to introduce their courses. Please refer to the course selection videos index page for further information.
Important information in response to COVID-19
Please note that during 2021/22 academic year some variation to teaching and learning activities may be required to respond to changes in public health advice and/or to account for the differing needs of students in attendance on campus and those who might be studying online. For example, this may involve changes to the mode of teaching delivery and/or the format or weighting of assessments. Changes will only be made if required and students will be notified about any changes to teaching or assessment plans at the earliest opportunity.
Key facts
Department: Geography & Environment
Total students 2020/21: 66
Average class size 2020/21: Unavailable
Controlled access 2020/21: No
Value: One Unit
Personal development skills
- Self-management
- Problem solving
- Application of information skills
- Communication
- Application of numeracy skills
- Specialist skills
