Last modified: 31 Jul 2023 11:35
This is a project course for the MSc in Data Science. Students will be given a data science project, which will be supervised by one member of staff. Students will conduct research on that topic in an independent manner.
Students will have to deliver a presentation halfway through the project and hand in a report about the results at the end of the project. This will be followed by an oral examination of the submitted report.
| Study Type | Postgraduate | Level | 5 |
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| Session | Second Sub Session | Credit Points | 60 credits (30 ECTS credits) |
| Campus | Aberdeen | Sustained Study | No |
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This course provides the opportunity to gain experience in carrying out research in an independent manner. The topic of research will be in the area of data science, and it will be based on and go beyond concepts and tools discussed on the other previous courses. Students will develop skills on conducting research in depth in a specific data science topic, oral and written presentation skills and critical analysis.
Information on contact teaching time is available from the course guide.
| Assessment Type | Summative | Weighting | 65 | |
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| Assessment Weeks | Feedback Weeks | |||
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| Knowledge Level | Thinking Skill | Outcome |
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| Assessment Type | Summative | Weighting | 35 | |
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| Assessment Weeks | Feedback Weeks | |||
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| Knowledge Level | Thinking Skill | Outcome |
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| Assessment Type | Formative | Weighting | ||
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| Assessment Weeks | Feedback Weeks | |||
| Feedback | ||||
| Knowledge Level | Thinking Skill | Outcome |
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| Knowledge Level | Thinking Skill | Outcome |
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| Reflection | Evaluate | Data analysis and modelling workflow. |
| Reflection | Create | Students will learn how to make sense of data. They will apply algorithmic knowledge from the courses in the MSc Data Science degree to conduct a piece of research in collecting, analysing data |
| Reflection | Create | Communication and presentation skills |
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