BUS7043 - Strategic Business Analytics

Objectives:

On successful completion of the module, students will be able to:

1 - Design and construct robust methodologies for data collection, cleaning and preparation, demonstrating their impact on the quality of analysis and decision-making across diverse business contexts
2 - Analyse and interpret complex datasets using advanced techniques to identify trends, patterns and implications in varied professional scenarios
3 - Apply and adapt data visualisation techniques to effectively represent intricate patterns and insights, ensuring clear and meaningful communication for diverse stakeholders
4 - Critically evaluate and integrate insights from complex datasets to address analytical challenges, propose evidence-based solutions and support strategic decision-making processes.

Content:

This module introduces you to the strategic principles of data analytics, focusing on acquiring, organising, analysing and visualising data. You will learn techniques for data acquisition from various sources, cleaning and preprocessing data to ensure accuracy and consistency and managing structured datasets. The module emphasises descriptive and exploratory statistical analysis, enabling you to summarise and interpret datasets, identify patterns and generate actionable insights.

You will develop technical proficiency in various digital software tools, creating dynamic dashboards for business reporting. Practical exercises will integrate these tools into real-world workflows, ensuring applicability in business settings. The module also introduces ethical considerations in data handling, emphasising integrity and privacy. By the end of the module, you will have the skills to perform strategic business analysis and communicate findings effectively to both technical and non-technical audiences.

Learning and Teaching Information:

The learning and teaching methods include lectures, which provide theoretical knowledge and frameworks, and workshops, with a seminar element, which offer opportunities for practical application, hands-on activities and group discussions around, for example, acquiring, organising, visualising and analysis of data to make effective business decisions. Independent learning will enable you to deepen your understanding through guided reading, research and project work. You will also benefit from guest lectures and industry case studies, ensuring real-world relevance and alignment with current business practices. The balance of these methods ensures a comprehensive learning experience that integrates theoretical, practical and independent approaches.

Lectures
Hours: 20
Intended Group Size: Cohort

Workshops
Hours: 20
Intended Group Size: 5-10

Guided independent study
Hours: 260

Further Details Relating to Assessment

Infographic Presentation (Individual): You will independently analyse a dataset provided by the tutor. Your task is to apply the data cleaning, descriptive analysis and visualisation techniques covered in this module to uncover and present key insights. Your infographic presentation should clearly outline the dataset’s objectives, describe your analytical and visual processes, highlight the tools you used and explain the significance of your findings.

Digital Portfolio (Individual): The Digital Portfolio allows you to demonstrate your practical analytics skills, strategic thinking and ability to work with real-world data through hands-on tasks. Building on the insights you presented in your Individual Infographic Presentation, this portfolio gives you the opportunity to expand your analysis into a more comprehensive and structured body of work.

You will work with datasets provided by the tutor and apply techniques introduced throughout the module using a professional data analysis and visualisation tool. The focus is on helping you gain confidence in using industry-relevant tools to draw out meaningful insights from complex data.

Formative assessment and feed-forward methods will be employed throughout this module at various points in the semester. Formative forms of assessment will include (but not exclusively): class-based activities, opportunities for draft pieces of work to be submitted for comments and feedback, drop-in sessions with the module tutor and peer-assessed (non-credit bearing) group activities.

Comprehensive assessment guidelines, including submission deadlines and grading rubrics are contained within the Module Handbook.

Assessment:

001 Infographic Presentation (Individual); 10 mins; Mid Term 1 50%
002 Digital Portfolio (Individual); 3000 words; End of Term 1 50%

Fact File

Module Coordinator - Ali Hayder
Level - 7
Credit Value - 30
Pre-Requisites - N/A
Semester(s) Offered - 7PGS1

Click here to go back to previous page