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.

My Reading

Reading List