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Module Title
Methods, Metrics And Analytics

Research methods, quantitative methods; qualitative methods, web analytics, Social Network Analysis, data visualisation, data analysis, big data

SCQF Points30
ECTS Points15
CreatedJune 2013
ApprovedSeptember 2013
Version No.1

This Version is No Longer Current
The latest version of this module is available here
Prerequisites for Module


Corequisite Modules


Precluded Modules


Aims of Module

The module provides students with an understanding of a range of research methods applicable to both academic enquiry and professional practice. Students will use a range of computational and non computional methods to gather, analyse and present data.

Learning Outcomes for Module

On completion of this module, students are expected to be able to:

1. Demonstrate a critical understanding and awareness of a range of research methods and their application.
2. Work autonomously in the development of a research question and the identification of appropriate methods for data gathering and analysis.
3. Evaluate and apply data visualisation tools and techniques to present data in a form appropriate to the research context.
4. Develop a critical understanding of the legal and ethical considerations in the collection and management of data.

Indicative Module Content

Research in both an academic and professional context. Data gathering - qualitative, quantitative and computational methods. Web analytics, social network analytics, understanding metrics. Programming for data gathering, analysis and visualisation. Social Network Analysis. Visualisation principles, tools and techniques.

Indicative Student Workload

Contact Hours

Full TimePart Time

Directed Study


Private Study

Private Study

Mode of Delivery

The module is delivered via online exercises, workshops, industry speakers, case studies and lab tutorials.

Assessment Plan

Learning Outcomes Assessed
Component 1 1,2,3,4

Coursework - Students are required to develop a suitable research question, identify data sources and produce a report detailing the topic, the approach and presenting the resulting data in an appropriate and meaningful format.

Indicative Bibliography

1.DAWSON, C., 2009. Introduction to research methods: a practical guide for anyone undertaking a research project. 4th ed. Oxford: How to Books. ebook
2.MAYER-SCHONBERGER, V. and CUKIER, K., 2013. Big data: a revolution that will transform how we live, work and think. London: John Murray.
3.PRELL, C., 2012. Social network analysis:
history, theory and methodology.
Los Angeles: Sage.
4.TUFTE, E., 2001. The visual display of quantitative information. 2nd ed. Cheshire, Conn.: Graphics Press.

Robert Gordon University, Garthdee House, Aberdeen, AB10 7QB, Scotland, UK: a Scottish charity, registration No. SC013781