Please note
This document only provides information for the academic year selected and does not form part of the student contract
School:
Huddersfield Business School
Credit Rating:
20
Level (including FHEQ):
F (FHEQ Level 4)
Graded or Non Graded:
Graded
Version Valid From:
2021-09-01
Module Leader:
Na Liu
Version Number
2024.02
Learning Methods
Tutorial and Project Supervision
Guided Independent Study
Lecture
Synopsis
In this module you will investigate and explore various analytical concepts and the value they provide to organisations. To support this you will explore the value of analytical data and how this supports the creation of Business Intelligence for decision making. You will investigate different analytical methods and apply them … For more content click the Read More button below.
Learning Strategy
Teaching and learning will be through seminar- based delivery and independent study. Taught seminars will involve the use of academic research, case studies and activities of an applied practical nature. For example, tutor presentation and input, case study analysis, discussion and review questions, presentations and formative assessment. You will be … For more content click the Read More button below.
We work continuously with our school’s VLE team to keep abreast with the latest technology to enable you to participate in and contribute to learning via digital methods.
Outline Syllabus
Through the completion of this modules you will appreciate environmental issues and their
impact on organisations. You will understand the importance of data and how managing this data can help organisations to make decisions. This will be achieved through the analysis and identification of various data management techniques and and … For more content click the Read More button below.
In order to identify business improvements and to create innovative business approaches this module will support the decision-making process by introducing you to the various online and offline business and revenue models, and their potential to create unique opportunities for innovation and growth.
Outline syllabus:
Introduction to data science principles and methodsPrinciples of modern analyticsData Analytical strategyIntroduction to apply analytics in the context of business valueExplore the different analytical platformsData visualisation software
Learning Outcomes
On successful completion of this module students will
1.
Understand a range of analytical principles and their potential applications in business use.
2.
Identify and describe the different approaches to ethical decision making and the role of analytics in this process.
3.
Understand how to interpret data analysis results from analytical software.
4.
Support the development of organisational strategies and plans based on data analytics.
5.
Produce reports that clearly present information and data, using a range of interpretation and analytical processes.
6.
Use analytical techniques and methods to support organisational decision making. Reflect on their role in this process.
7.
Use evidence-based tools and ethical approaches to undertake responsible problem solving and critical analysis, synthesis and evaluation to support decision making.
Formative Assessment
Assessment 1: Other
Summative Assessment
Assessment 1: In-Class Test
Assessment 2: Written Assignment
Assessment Criteria
The assessment criteria are as set out in the Huddersfield Business School Assessment Guidelines. The guidelines provide criteria for the assessment of both coursework and examinations.