A list of projects will be offered and each student will be allocated to a project supervised by a member of staff as determined by the convenor. This will cover a range of suitable topics. The allocation of a topic will be made at the start of the Spring term. Students will work on their project during the Spring and Summer terms.
Contact hours: 6
Private study: 294
Total number of study hours: 300
Spring and Summer
Main assessment methods (100% Coursework)
Project plan - 2 pages (10%)
Mid-project presentation (10%)
Dissertation – Approximately 30 pages (80%)
Reassessment methods:100% coursework
Texts will depend on the project offered.
The intended subject specific learning outcomes.
On successfully completing the module students will be able to:
1. demonstrate a reasonable ability to plan and develop a project themed in data analytics;
2 .convey a systematic understanding of key aspects of a topic in data analytics;
3 .demonstrate a reasonable level of skill in the presentation of a topic in data analytics;
4 .show judgement in the selection and presentation of material to communicate to both technical and non-technical audiences.
The intended generic learning outcomes.
On successfully completing the module students will be able to:
1. communicate arguments clearly and draw reasonably accurate conclusions;
2. manage their own learning and development, including time-management;
3. demonstrate enhanced intellectual independence;
4. communicate technical and non-technical material competently;
5. demonstrate critical thinking skills.
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