Course Summary
Course Category: PLC (Further Education - FET) - Apply directly to College
This course equips learners with the essential skills and knowledge to explore the rapidly advancing field of AI. Through a practical and theoretical approach, students delve into machine learning, Python programming, and mathematical methods, building the foundation required to progress to higher education or enter the tech workforce.
This course addresses the growing demand for expertise in AI by providing a pathway to further study in computer science and machine learning, particularly for those aiming to meet university entry requirements for programmes at institutions such as TCD, UCD, and TUD.
Certification
QQI Level 5 – Software Development – Code 5M0529
Course Details
This course prepares you for working in the following Career Sectors:
What will you study?
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Elective Modules
Fundamentals of Object Oriented Programming
Software Architecture
Maths for Information Technology
Programming and Design Principals (Python for Data Analysis)
Web Authoring
Computational Methods
Core Modules
Communications
Work Experience
Modules offered may be subject to change due to resource demands.
Important
- Colleges may add/remove modules to keep the course updated and to meet demands.
- Almost all PLC courses have a Work Experience module, which requires students to find their own placement in an area directly related to their course.
Progression to CAO Courses
Higher Education Links Scheme (HELS)
This course results in a QQI Major Award, and provides progression opportunities to a number of Higher Education courses, including those in the CAO.
To view CAO courses to which this award provides a direct progression route, click below:
QQI Code
To calculate Points based on your QQI award results, use the PLC Points Calculator.
The Student - Career Interests
This course is typically suited for people with the following Career Interests:
Administrative
Administrative people are interested in work that offers security and a sense of being part of a larger process. They may be at their most productive under supervisors who give clear guidelines and while performing routine tasks in a methodical and reliable way.
They tend to enjoy clerical and most forms of office work, where they perform essential administrative duties. They often form the backbone of large and small organisations alike. They may enjoy being in charge of office filing systems, and using computers and other office equipment to keep things running smoothly. They usually like routine work hours and prefer comfortable indoor workplaces.
Creative
Creative people are drawn to careers and activities that enable them to take responsibility for the design, layout or sensory impact of something (visual, auditory etc). They may be atrracted to the traditional artistic pursuits such as painting, sculpture, singing, the performing arts or music. Or they may show more interest in design activities, such as architecture, animation, or craft areas, such as pottery and ceramics.
Creative people use their personal understanding of people and the world they live in to guide their work. Creative people like to work in unstructured workplaces, enjoy taking risks and prefer a minimum of routine.
Enterprising
Enterprising people like situations that involve using resources for personal or corporate economic gain. Such people may have an opportunistic frame of mind, and are drawn to commerce, trade and making deals. Some pursue sales and marketing occupations. Many will eventually end up owning their own business, or in management roles in larger organisations. They tend to be very goal-oriented and work best when focused on a target. Some have an entrepreneurial inclination.
Further Research
National Statistics for this Award (All Ireland)
The following data provides general information about this Award from colleges across Ireland.
Disclaimer: These links are to web sites outside of CareersPortal and we accept no responsibility for the information on them.
Career Progression
Graduates can pursue careers in:
- Artificial Intelligence
- Software Development
- Data Science
- Technology Consultancy