Last modified: 31 May 2022 13:05
This course brings together all aspects of data science, from gathering data, to analysis and visualisation, by exploring real world applications of data science. There will be a discussion of some significant achievements of data science when applied to various areas from fundamental business practices to physics. Students will then apply these skills to a group project.
| Study Type | Postgraduate | Level | 5 |
|---|---|---|---|
| Term | Second Term | Credit Points | 15 credits (7.5 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
| Co-ordinators |
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This course synthesises the learning from the previous courses in MSc Data Science and emphasises how they can be applied to research, business and more. Through analysis of case studies selected from various areas, the applicability of techniques will be shown and their efficacy determined.
Finally students will undertake a team based project in applying their skills to a short form case study in data science. Their work will be presented in groups, and be accompanied by an individual analytical report.
Information on contact teaching time is available from the course guide.
2 x Online Tests (50% each)
Alternative resit assessments
1 x final test (100%)
There are no assessments for this course.
| Knowledge Level | Thinking Skill | Outcome |
|---|---|---|
| Reflection | Create | The task will involve group work in project solving, demonstrating not only the ability to apply their new skills but also to work in a team and communicate effectively. |
| Procedural | Apply | Student must apply learned skills to a project, demonstrating that they are able to apply these ideas effectively and in a structured way. This demonstrates academic ability, and especially creativity |
| Reflection | Remember | The students knowledge of the material from previous courses must be demonstrated, and they must show they can apply their knowledge to real world situations. This shows a good grasp of the subject |
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