Module Catalogue 2024/25

Pre Requisite Comment

N/A

Co Requisite Comment

N/A

Aims

• To develop specialist skills and techniques required by industry to deliver value from data analytics.

• To query, manage, analyse and visualise data using industry standard software in order to identify and address potential organisational strengths, weaknesses, threats and opportunities.

• To manage independent learning in order to deepen knowledge and reflection on the topic through a range of learning activities that might include extended reading, reflection, research and practical exercises.

Outline Of Syllabus

1.       The world of data and digital
2.       Data types and structures
3.       Data cleansing strategies and tools
4.       Data manipulation capability via common desktop tools - Excel
5.       Logical thinking and logic statements
6.       Insights and Visualisation
7.       Dashboards as mechanisms for management reporting
8.       Developing investigatory capability
9.       Developing data driven ‘storytelling’ capability

Topics 6 to 9 would be delivered by industry standard visualisation tools, for example Tableau or Microsoft Power BI.

Intended Knowledge Outcomes

1. Appreciate the value of analytical capability as an organisational asset.
2. Evaluate a potential range of solutions from the application of data analytics.
3. Defend the need for effective and planned organisational data collection.

Intended Skill Outcomes

1. Apply appropriate data analytics knowledge and skills to enhance the capability to realise organisational benefits from data.
2. Interpret business problems and opportunities using data analytics to organise, manage, critically analyse, visualise and communicate complex issues effectively.
3. Build appropriate models to increase informed decision making capability.

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 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 a number of 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 a number of 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 provided using electronic marking.

General Notes

N/A