Accounting Analytics

Description

As a student of this modern era, you are likely to be aware of the fact that the past few decades have seen a rapid advent of technologies such as internet, cloud storage/computing and sophisticated software packages. So it should not be a surprise for you to envisage that most of the big and small businesses have embraced these technologies and use them as analytical tools. These analytical tools facilitate companies to process their own as well as industry level data to identify trends and patterns to gain a deeper understanding of their business processes and make informed decisions. This module aims to introduce you to some of the most important analytical tools that are used in the business world with a particular focus on the analytical tools that you, as a future professional, would likely use as an accountant, auditor, fund manager, investor, or a regulator etc. Location/Method of Study Stirling, On Campus/On Campus, UK Additional Costs There are no additional costs associated with this Module. Core Learning Outcomes On successful completion of the module, you should be able to: use computer languages such as R to extract, clean, transform and merge structured and non-structured data and produce basic descriptive and data visualisation reports; apply data analytical techniques on the individual and aggregate data to produce decision relevant information; prepare and present reports based on the output from MLO2 from the point of interest of investors, managers, and regulators. Introductory Reading and Preparatory Work Seema Acharya, Data Analytics using R, by McGraw-Hill Revsine, Financial Reporting and Analysis, 8th edition by McGraw-Hill Delivery Independent Study Hours 170 hours Independent activities required to complete the module Total Study Time 200 hours Assessment % of final grade Learning Outcomes Class Test 40 1 Project 60 1,2,3 Coursework: 100% Available to Visiting Study Abroad Students? No