View Specification DocumentData Analytics for Accounting and Finance ACCFIN4090
- Academic Session: 2026-27
- School: Adam Smith Business School
- Credits: 20
- Level: Level 4 (SCQF level 10)
- Typically Offered: Semester 2
- Available to Visiting Students: Yes
- Collaborative Online International Learning: No
- Curriculum For Life: No
Short Description
The course covers the fundamental understanding of accounting analytics and auditing data analytics. It defines and explains the impact of data analytics on the business and accounting profession. In addition, it develops an analytical mindset supported by the provided toolkit to extract, transform, validate, and visualise the data. The course includes various models and techniques used for data analytics as an increasingly important skill for accountants. All the techniques are supported with accounting-specific examples.
Timetable
Synchronous learning activities:
Workshop (2 hours x 10 weeks)
Tutorials (2 hours x 2 weeks)
Asynchronous learning activities will consist of concept explanation and case solution videos, totalling 12 hours across the semester
Requirements of Entry
Normally a grade D3 or above in Financial Accounting 1 or equivalent.
Excluded Courses
None
Co-requisites
None
Assessment
1. Written assignment, including essay; Individual; 2650 words; 75%; ILOs 1-4.
2. Oral assessment & presentation; Individual; 10 min; 25%; ILO 2.
Course Aims
The aim of this course is to develop general decision-making and problem-solving skills using data analytics methods and tools in the accounting and audit context.
Intended Learning Outcomes of Course
By the end of this course students will be able to:
1. Set relevant business questions that can be addressed using data.
2. Evaluate the data quality and tools.
3. Create appropriate models using supervised and unsupervised approaches.
4. Utilise predictive analysis for financial accounting, management accounting, and auditing tasks.