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Last modified: 07 Dec 2020 12:35

Course Overview

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.

Course Details

Study Type Postgraduate Level 5
Session Second Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
  • Professor Marco (Physics) Thiel

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

  • Any Postgraduate Programme

What other courses must be taken with this course?


What courses cannot be taken with this course?

Are there a limited number of places available?


Course Description

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.

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

Two multiple choice question tests:

One test halfway through course = 50%

One test at end of course - 50%


Resit (for students taking course in Academic Year 2020/21): 

One test made up of multiple-choice questions based on the presentations they will attend in the course.

Resit (for students who took the course in Academic Year 2019/20 and C8 students):

A test made up of multiple-choice questions based on the presentations they will attend in the course.


Formative Assessment

There are no assessments for this course.

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ProceduralApplyStudent 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
ReflectionCreateThe 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.
ReflectionRememberThe 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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