Postgraduate Course: Data Science Skills in Environmental Science (PRGE11024)
Course Outline
| School | School of Geosciences |
College | College of Science and Engineering |
| Credit level (Normal year taken) | SCQF Level 11 (Postgraduate) |
Availability | Not available to visiting students |
| SCQF Credits | 10 |
ECTS Credits | 5 |
| Summary | Hands-on workshops will develop students¿ skills in data management, statistical analysis, modelling and artificial intelligence, aligned with the NERC strategy for digitally enabled environmental science and helping students to identify more advanced training needs. Data-driven group projects in year 1 will culminate in presentations at an E5 event. |
| Course description |
Hands-on workshops will develop students¿ skills in data management, statistical analysis, modelling and artificial intelligence, aligned with the NERC strategy for digitally enabled environmental science and helping students to identify more advanced training needs. Data-driven group projects in year 1 will culminate in presentations at an E5 event.
|
Entry Requirements (not applicable to Visiting Students)
| Pre-requisites |
|
Co-requisites | |
| Prohibited Combinations | |
Other requirements | None |
Course Delivery Information
|
| Academic year 2026/27, Not available to visiting students (SS1)
|
Quota: 18 |
| Course Start |
Semester 2 |
Timetable |
Timetable |
| Learning and Teaching activities (Further Info) |
Total Hours:
100
(
Programme Level Learning and Teaching Hours 2,
Directed Learning and Independent Learning Hours
98 )
|
| Assessment (Further Info) |
Written Exam
0 %,
Coursework
100 %,
Practical Exam
0 %
|
| Additional Information (Assessment) |
Group project - non-assessed |
| Feedback |
Not entered |
| No Exam Information |
Learning Outcomes
| Give PhD introductory level skills in data management, statistical analysis, modelling and artificial intelligence, aligned with the NERC strategy for digitally enabled environmental science and helping students to identify more advanced training needs.
|
Additional Information
| Graduate Attributes and Skills |
Not entered |
| Keywords | Not entered |
Contacts
| Course organiser | Dr Massimo Bollasina
Tel: (0131 6)51 3464
Email: Massimo.Bollasina@ed.ac.uk |
Course secretary | Mrs Nicola Drago-Ferrante
Tel:
Email: n.drago-ferrante@ed.ac.uk |
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