Introduction to Artificial Intelligence and Data Science

MQF Level 5

6 ECTS

Introduction to Artificial Intelligence and Data Science

Module Type
Compulsory
Price
€550
ECTS Credits
6 ECTS
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Module Description

The Module has two parts. The first part of the Module will equip learners with the basic understanding of what AI is, its importance and impact on the industry, business and society, and AI applications in various sectors including finance, healthcare, education, and government. Learners will also learn various components of AI, including knowledge representation, reasoning, decision making and problem-solving. Learners will also get an exposure of some of the AI tools such as Rapid miner, Weka and R.
The second part of the Module will equip learners with the data science background required for AI and its applications. It will include data exploration, preparation, representation, transformation, modelling, visualisation and presentation.

 

 

Target Audience

• Individuals seeking to advance their academic and professional knowledge in Accounting.
• Individuals wanting to pursue a wide range of accounting, consulting, financial and managerial career paths.
• Individuals wanting to enhance their ability to interpret, assess and communicate financial related data.

Career Paths

The potential positions for which this programme aims to prepare could be and are not limited to:

• Financial Accountant
• Management Accountant
• Tax Accountant
• Accounts Assistant
• Financial Controller
• Risk Analyst
• Compliance officer
• Consultancy
• Auditor including internal audit function
• Financial crime analyst.
• Treasury Manager
• Financial Manager

How you’ll be assessed

The method of assessment is assignment-based.

The course comprises:
• 6 lectures per module;
• 3-hour lectures (evening);
• 12 hours of online content per module, comprising synchronous online discussions, tutorials and/or videos.

Assessment is carried out via two mandatory components:
• Modular Assessment;
• Project Assessment

The course also includes additional, specialised support to help you write your Dissertation, including classes on Qualitative/Quantitative data analysis tools, as well as Dissertation Workshops.

Assignment
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