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BA421 – Financial and Accounting Analytics

Bachelor of Business Administration

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Core Course

BA421 – Financial and Accounting Analytics

Course Unit Code: BA421

Type Of Unit: Elective

Level of Course Unit: First Cycle

Year of Study: Fourth year

Semester: On demand

Number of ECTS Credits: 7.5

Class Contact Hours: #

Mode of Delivery

Prerequisites

none

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Learning Outcomes

On completion of this course students are expected to:

CILO 1 Apply basic analytical approaches to summarize, analyze, visualize, and effectively present accounting and financial data.
CILO 2 Evaluate, employ, and critically assess the current evolution of enterprise-wide systems and their impact on business process reengineering.
CILO 3 Implement Program and test business intelligence software for AIS implementations.
CILO 4 Conduct critical evaluations of accounting controls and security measures within AIS.

The course will be structured around the following activities:

Introduction to the Fundamentals and Techniques of Data Analytics. CILO 1
Data Preparation and Cleansing; Various Approaches to Data Analytics; Data Visualization and Summarization. CILO 1, 2
Reviewing Modern Systems Development Methodologies for AIS, including the Software Development Life Cycle, Prototyping, and End-User Development CILO 2
Exploring Diagnostic, Predictive, and Prescriptive Analytics in Managerial and Financial Accounting. CILO 2
Understanding Key Concepts of Accounting Information Systems (AIS) and Overview of Modern Enterprise Resource Planning Systems (ERP). CILO 2, 3
Examination of Management Decision Support Systems and Business Intelligence (BI). CILO 3
Considerations of Ethics, Fraud, and IT Controls in Accounting and Information Systems. CILO 4

Course Features

Planned learning activities and teaching methods Lectures; in-class discussion and debates; in-class exercises; group work, presentations; videos, case studies.
Assessment methods and criteria • Group Assignment (presented on last teaching day) 40%
• Participation 10%
• Multiple choice (MCQ) exam 50%

TOTAL 100%
Language of Instruction English
Work Placement(s) Not applicable

Readings

Vernon Richardson, Ryan Teeter and Katie Terrell, Data Analytics for Accounting, 3rd Edition

Chaffey, D. & Ellis-Chadwick, F. (2012). Digital Marketing: Strategy, Implementation, and Practice (5th ed.). Pearson.

Rowles, D. (2014). Mobile Marketing: How Mobile Technology is Revolutionizing Marketing, Communications and Advertising. Kogan Page

Berry, M. & Sinisalu, H. (2015) The Best Of Global Digital Marketing Storybook 2. Best Marketing International

Solis, B (2013) What’s the Future of Business?: Changing the Way Businesses Create Experiences, John Wiley

Call Center

CYPRUS

GREECE

INTERNATIONAL

Request Information Request Information ⟶

Informed Consent Form

Dear Participant,

You are invited to participate in a survey as part of the DiFiCy – Digital Transformation and FinTech: Shaping Cyprus’s Economy research project which is implemented by the University of Limassol, PwC Cyprus and Unity Growth Limited.

The project is co-funded by the European Union within the framework of the Cohesion Policy Programme “THALIA 2021-2027” through the Research and Innovation Foundation (RIF) in Cyprus [Pr. number: EXCELLENCE/0524/0568].

The study has been approved by the National Bioethics Committee of Cyprus (Approval no.: EEBK EΠ 2025.01.19 )

This project explores digital transformation and FinTech adoption in Cyprus, with a particular focus on SMEs and the broader business ecosystem. It uses a mixed-methods research design, combining survey data with interviews and case study evidence to generate evidence-based insights for policymakers and businesses.

Before deciding whether to participate, please read the following information carefully.

Purpose of Participation

The purpose of this research is to better understand the drivers, challenges, and impacts of digital transformation and FinTech adoption in Cyprus. The findings aim to support evidence-based policymaking, strengthen business practices, and contribute to innovation and economic development.

Your participation involves the following:

Completion of this survey, which takes approximately 15 minutes.

Invitation to take part in an optional interview.

Contribution to a case study or discussion session at a later stage.

Your participation is entirely voluntary, and you are free to decline or withdraw at any time without any consequences.

If you wish to withdraw from the study after submitting your responses, you may do so by contacting the Project Coordinator.

Data Confidentiality and Usage

All data collected will be handled in strict accordance with the General Data Protection Regulation (GDPR) and Cyprus Data Protection Law (125(I)/2018).

Your data will be treated confidentially, pseudonymised and anonymised, and no personally identifiable information will be disclosed. Data will be securely stored and accessed only by authorised members of the research team. In some cases, qualitative data may be processed using machine learning techniques, such as keyword identification or pattern detection, strictly to support analysis; however, all interpretation and conclusions will be made by the researchers.

Aggregated and anonymised findings derived from the data (e.g., statistical summaries, graphs, and thematic insights) may be used for dissemination activities, including scientific publications, policy reports, infographics, and training materials. These outputs will not contain any information that could directly or indirectly identify participants or their organisations.

Anonymised data may be shared publicly after a 24-month embargo period, while raw or sensitive data will not be publicly available. Access to raw or sensitive data will be granted only upon justified request and consortium approval.

Your participation in this study does not involve any risks.

On the contrary, your contribution may help improve digital and FinTech policies, support SME development and innovation strategies, and enhance the overall business environment in Cyprus.

Contact Information

If you have any questions, concerns, withdraw requests or complaints, please contact the Project Coordinator, Dr. Snezana Eminidou. Please include “DiFiCy Survey” in the subject line.

Email: snezana@uol.ac.cy

Phone number: +357 22462228

Partnership:

Thank you for your valuable contribution to this research.

The project is co-funded by the EU within the framework of the Cohesion Policy Programme “THALIA 2021-2027” through the Research and Innovation Foundation. [Pr. no. EXCELLENCE/0524/0568]. The content reflects the views of the author(s) only. The European Commission and the Managing Authority of THALIA 2021–2027 cannot be held responsible for any use which may be made of the information contained therein.