Key Information:

Programme Summary:

The Level 5 Extended Diploma in Accounting and Finance provides a comprehensive understanding of core financial principles, accounting practices, business management, and ethical considerations in today’s global economy. This programme is designed to prepare students for a professional career in finance or further academic study at higher levels.
Students will develop essential skills in financial reporting, management accounting, leadership, financial planning, and taxation, combined with strong analytical and ethical decision-making abilities necessary for success in the financial sector.

Programme Aims and Learning Outcomes:

Programme Structure:

Semester 1:

- Accounting in a Business Context
Understand the role and importance of accounting within various business structures and industries.

- Economics for Business Mathematical
Apply fundamental economic principles and mathematical methods in business decision-making.

- Accounting Methods
Explore accounting techniques and recording processes essential for business operations.

- Financial Accounting
Develop knowledge and practical skills in preparing financial statements.

- Management Accounting
Analyse internal financial information to support strategic business management.

- Leadership and Management in Accounting
Learn leadership styles, management practices, and their application in accounting settings.

Semester 2:

- Financial Management
Master techniques for financial analysis, investment decisions, and resource management.

- Financial Planning and Control
Understand budgetary control systems and the strategic role of financial planning.

- Financial Reporting
Prepare and interpret complex financial reports according to regulatory standards.

- Principles and Practices of Taxation
Gain an understanding of taxation frameworks and compliance obligations.

- Management of People
Explore effective management and development of individuals and teams within organisations.

- Ethics and Corporate Responsibility in Business
Critically assess ethical issues and corporate governance responsibilities in financial environments.

Level 3 Diploma in Data Science

Progression routes

Level 4 Diploma in IT-related rectors
Level 4 Diploma in DS
Level 5 Extended Diploma in DS
Year 1 of Bachelor's Degree
Directly into employment in an associated profession

Qualification Overview

The aim of the Level 3 Diploma in Data Science is to provide learners with an introduction and understanding of the field of data science.
The Level 3 Diploma provides a contemporary and holistic overview of data science, artificial intelligence, and machine learning, from the birth of artificial intelligence and machine learning in the late 1950s, to the dawn of the “big data” era in the early 2000s, to the current applications of AI and machine learning and the various challenges associated with them. In addition to the standard machine learning models of linear and logistic regression, decision trees and k-means clustering, the diploma introduces learners to two new exciting and emerging areas of data science: synthetic data and graph data science.
The Diploma also introduces learners to the data analytical landscape and associated analytical tools, teaching introductory Python so that Learners can analyse, explore, and visualise data, as well as implement a number of basic data science models.
Successful completion of the Level 3 Diploma in Data Science provides learners with the opportunity to progress to further study or employment.

Mandatory Units

- The Field of Data Science
- Python for Data Science
- Creating and Interpreting Visualisations in Data Science
- Data and Descriptive Statistics in Data Science
- Fundamentals of Data Analytics
- Data Analytics with Python
- Machine Learning Methods and Models in Data Science
- The Machine Learning Process
- Linear Regression in Data Science
- Logistic Regression in Data Science
- K-means Clustering in Data Science
- Decision Trees in Data Science
- Synthetic Data for Privacy and Security in Data Science
- Graphs and Graph Data Science

Credits:

60

Duration:

06 Months