Skip to Content


Last modified: 31 May 2022 13:05

Course Overview

In this course, students will receive an introduction to research skills needed in the Intelligent Mobility (IM) environment. Students will receive training in both qualitative and quantitative methods, including evidence reviews, statistical and network analysis, survey methods, interviews, and focus groups. These skills will be taught in the context of an IM project, with individual components coming together in a detailed project plan.

Course Details

Study Type Postgraduate Level 5
Session Second Sub Session Credit Points 15 credits (7.5 ECTS credits)
Campus Aberdeen Sustained Study No
  • Dr Caitlin Doyle Cottrill

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

  • Any Postgraduate Programme
  • Master Of Science In Transport And Intelligent Mobility

What other courses must be taken with this course?


What courses cannot be taken with this course?

  • EG555M Research Skills and Project in Practice (Studied)

Are there a limited number of places available?


Course Description

The IM environment requires the application of a range of research methods, including both qualitative and quantitative applications. While transport and IM are often most closely associated with quantitative methods focused on data collection and analysis, understanding the context of project implementation through evidence reviews, policy analysis, and interaction with local stakeholders and members of the public via interviews and focus groups are also necessary components of the planning and implementation process.

In this course, students will undertake a project-based exploration of research methods in preparation for their dissertation work, as well as to prepare them for work in a practitioner context.  They will be introduced to a fictional but plausible IM project, and guided through the research methods associated with its development, including evidence reviews for scene-setting and identification of alternatives; data collection, analysis, and management processes for project selection; and qualitative methods for association with local, regional, or national priorities. Given the IM focus, they will be introduced to working with data collected via a range of methods, including traditional survey methods, acquisition of secondary data, and more novel methods such as through social media avenues.

It is anticipated that the work undertaken in this class will provide students with the research skills necessary to carry out IM projects, as well as familiarise them with emerging methodologies relevant to the IM context.

Contact Teaching Time

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

Teaching Breakdown

  • 1 Lecture during University weeks 26 - 30, 32 - 35, 39 - 40
  • 1 Tutorial during University weeks 26 - 30, 32 - 35, 39 - 40

More Information about Week Numbers

Details, including assessments, may be subject to change until 31 August 2023 for 1st half-session courses and 22 December 2023 for 2nd half-session courses.

Summative Assessments

Presentation (20%)

Exam (30%)

Coursework (50%)



Re-sit of only the failed assessment component(s)

Formative Assessment

There are no assessments for this course.

Course Learning Outcomes

Knowledge LevelThinking SkillOutcome
ConceptualUnderstandTo understand the research skills necessary for undertaking IM projects.
ConceptualUnderstandTo understand appropriate research methods to utilise in different steps of the IM project planning process.
ProceduralApplyTo apply appropriate research methods within an IM planning context.
ProceduralCreateTo create an appropriate research plan for an IM project.
ReflectionEvaluateTo evaluate the success of an IM research plan.

Compatibility Mode

We have detected that you are have compatibility mode enabled or are using an old version of Internet Explorer. You either need to switch off compatibility mode for this site or upgrade your browser.