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PX5901: DATA SCIENCE PROJECT (2024-2025)

Last modified: 23 Aug 2024 14:46


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 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.

Course Details

Study Type Postgraduate Level 5
Term Third Term Credit Points 60 credits (30 ECTS credits)
Campus Aberdeen Sustained Study No
Co-ordinators
  • Professor Marco Thiel
  • Dr M. Carmen Romano

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

  • Any Postgraduate Programme
  • Master Of Science In Data Science

What other courses must be taken with this course?

None.

What courses cannot be taken with this course?

Are there a limited number of places available?

No

Course Description

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.


Contact Teaching Time

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

Teaching Breakdown

More Information about Week Numbers


Details, including assessments, may be subject to change until 30 August 2024 for 1st term courses and 20 December 2024 for 2nd term courses.

Summative Assessments

Project Report/Dissertation

Assessment Type Summative Weighting 65
Assessment Weeks Feedback Weeks

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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

Oral Exam

Assessment Type Summative Weighting 35
Assessment Weeks Feedback Weeks

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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

Oral Presentation: Group

Assessment Type Formative Weighting
Assessment Weeks Feedback Weeks

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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

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

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