ACC41220 Accounting Analytics

Academic Year 2023/2024

We are witnessing the shifting landscape of further finance and accounting digitalisation. Change can be seen on both the micro and macro level. We experience cycles of technological innovation, which lead to organisational change and transformation. Once the value of data is understood, data can be turned into information and powerful insight.

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Curricular information is subject to change

What will I learn?

Learning Outcomes:

By the end of this module, students will be able to:

- Assess the relationship between technology and a firm’s strategy.
- Advise on data and technology strategy.
- Understand Data’s relationship to strategic assets and transformation.
- Demonstrate understanding of the Data Analytics ecosystem (including emerging technologies).
- Assess the value and maturity of Data.
- Describe the relation between data and information.
- Understand and define the principles of Data Analytics.
- Display a developed awareness of potential issues within Data Analysis and the makeup of good-quality data.
- Produce a Step-by-Step Plan for performing Data Analysis.
- Demonstrate understanding of the Analytics Lifecycle and the CRISP-DM methodology.
- Describe and discuss Data Protection issues and Ethics relevant to Data Analytics.
- Format data to create insights and inform strategic decisions.

How will I learn?

Student Effort Type	Hours
Specified Learning Activities	12
Autonomous Student Learning	78
Lectures	8
Computer Aided Lab	16
Total	114

Am I eligible to take this module?

Requirements, Exclusions and Recommendations

Not applicable to this module.

Module Requisites and Incompatibles

Not applicable to this module.

How will I be assessed?

Assessment Strategy

Description	Timing	Open Book Exam	Component Scale	Must Pass Component	% of Final Grade
Group Project: Group Project - Report and Presentation	Week 12	n/a	Alternative non-linear conversion grade scale 50%	Yes	50
Continuous Assessment: Individual Continuous Assessment - Students to undertake an individual project using Tableau.	Week 10	n/a	Alternative non-linear conversion grade scale 50%	Yes	50

Carry forward of passed components
Yes

What happens if I fail?

Resit In	Terminal Exam
Summer	No

Assessment feedback

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment

How will my Feedback be Delivered?

Results presented online. Individual meetings and feedback through the student reps forum if necessary.

Associated Staff

Name	Role
Mr Adrian Mullins	Lecturer / Co-Lecturer

When is this module offered?


Autumn
Lecture	Offering 1	Week(s) - 9, 10, 11, 12	Fri 09:00 - 10:50
Lecture	Offering 1	Week(s) - 4, 5, 6	Mon 09:00 - 10:50
Lecture	Offering 1	Week(s) - 7, 9, 10, 11, 12	Tues 09:00 - 10:50
Autumn