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PX5901: DATA SCIENCE PROJECT (2019-2020)

Last modified: 25 Sep 2019 09:58


Course Overview

This is a project course for the MSc in data science. Students will be given a data science project, which will be supervised by two members of staff.

 

The project will involve a typical data science workflow, from data collection, cleaning, to analysing and visualising the results.

The students will have to deliver a presentation and hand in a report about the results.

Course Details

Study Type Postgraduate Level 5
Session Third Sub Session Credit Points 60 credits (30 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Professor Marco Thiel

What courses & programmes must have been taken before this course?

  • Any Postgraduate Programme (Studied)
  • Master Of Science In Data Science

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

None.

Are there a limited number of places available?

No

Course Description

This is a project course for the MSc in data science. Students will be given a data science project, which will be supervised by two members of staff.

 

The project will involve a typical data science workflow, from data collection, cleaning, to analysing and visualising the results.

The students will have to deliver a presentation and hand in a report about the results.


Contact Teaching Time

Information on contact teaching time is available from the course guide.

Teaching Breakdown

More Information about Week Numbers


In light of Covid-19 and the move to blended learning delivery the assessment information advertised for courses may be subject to change. All updates for first-half session courses will be actioned no later than 1700 (GMT) on 18 September 2020. All updates for second half-session courses will be actioned in advance of second half-session teaching starting. Please check back regularly for updates.

Summative Assessments

Oral Presentation: Individual

Assessment Type Summative Weighting 20
Assessment Weeks Feedback Weeks

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30 Minute Presentation

Written feedback

Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Project Report/Dissertation

Assessment Type Summative Weighting 80
Assessment Weeks Feedback Weeks

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Word Count:  25000-50000

Submission of annotated computer code is also expected.

Written comments.

Learning Outcomes
Knowledge LevelThinking SkillOutcome
Sorry, we don't have this information available just now. Please check the course guide on MyAberdeen or with the Course Coordinator

Formative Assessment

There are no assessments for this course.

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ReflectionCreateStudents 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
ReflectionEvaluateData analysis and modelling workflow.
ReflectionCreateCommunication and presentation skills
ReflectionCreateStudents 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
ReflectionEvaluateData analysis and modelling workflow.
ReflectionCreateCommunication and presentation skills

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