Module Catalogue

ISO8005 : Web and Social Media Analytics

  • Offered for Year: 2025/26
  • Available for Study Abroad and Exchange students, subject to proof of pre-requisite knowledge.
  • Module Leader(s): Mr Nick Howey
  • Owning School: Newcastle University Business School
  • Teaching Location: Newcastle City Campus
Semesters

Your programme is made up of credits, the total differs on programme to programme.

Semester 2 Credit Value: 10
ECTS Credits: 5.0
European Credit Transfer System

Aims

1.       Supply students with a comprehensive understanding of web and social media analytics principles, tools, and techniques.
2.       Enable students to design, implement, and evaluate data-driven strategies using web and social media data.
3.       Cultivate critical thinking skills for interpreting and applying analytics insights in a business context.

Outline Of Syllabus

Introduction to Web and Social Media Analytics
Exploration of metrics and Key performance indicators
Data collection for web analytics and visualisation
Analysis techniques
Search Engine and Social Media Optimisation
Effective reporting and communicating

Teaching Methods

Teaching Activities
Category Activity Number Length Student Hours Comment
Scheduled Learning And Teaching ActivitiesLecture52:0010:00Standard lecture theatre, with specialist software available on the lecturer PC (software to be advised)
Guided Independent StudyAssessment preparation and completion130:0030:00N/A
Scheduled Learning And Teaching ActivitiesSmall group teaching42:008:00Workshop – PC lab based, with specialist software available (to be advised)
Guided Independent StudyIndependent study152:0052:00N/A
Total100:00
Teaching Rationale And Relationship

Guidance provided at the beginning of a session are used to present the underlying theory and practical capability, with emphasis on choosing appropriate methods in relation to business needs and dedicated applications. A workshop environment will then allow you to:
1) Interpret theory through relating the taught material to real world business problems.
2) Formulate a plan for implementing data analytics to enhance business decision making.
3) Develop enhanced capability in practical data analytics.

Assessment Methods

The format of resits will be determined by the Board of Examiners

Other Assessment
Description Semester When Set Percentage Comment
Report1M1002000 word management report based on the analysis of data and effective communication.
Formative Assessments

Formative Assessment is an assessment which develops your skills in being assessed, allows for you to receive feedback, and prepares you for being assessed. However, it does not count to your final mark.

Description Semester When Set Comment
Lab exercise2MN/A
Assessment Rationale And Relationship

Formative assessment

The module has been designed so that students will work on some of the elements required for their summative assessment during the teaching sessions throughout the semester via a teaching dataset defined as Lab Exercise Students will be invited to discuss their progress in class as a case study. This has several benefits:

Student are producing work that can be adapted for use with their summative assessment.
Students can debate and share good practice.
Students will receive feedforward on these discussions.

Summative Assessment

The final report is designed to allow students to provide a reasoned set of management recommendations based on practical implementation of key principles of data manipulation, insight generation, visualisation and data driven outcomes.

The individual component must be submitted in the assessment period following the taught elements. Each student will be required to produce a 2000-word report.

Feedback Strategy

Formative: as stated earlier, there will be several opportunities where formative feedback will be provided throughout the module, particularly in relation to practical tasks.

Summative: For each component of assessment there is a respective standard marking criteria that will indicate how marks are allocated to the work, alongside the annotated comments on the work and overall summary comments

Reading Lists

Timetable