Course Summary
Course Category: PLC (Further Education - FET) - Apply directly to College
Currently there is a global shortage of individuals with data analytics talent and trends forecast a continuing strong demand for data analytics and related skills across the economy. Companies envisage that they will continue to need to recruit both experienced individuals and new graduates in these areas in the future. This course aims to provide students with the opportunity to understand and design data science components in computer systems. Building upon their knowledge students will learn the most up to date software to prepare them for a career in this growing area.
Course Details
This course prepares you for working in the following Career Sectors:
What will you study?
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Core Modules
Communications
Work Experience
Elective Modules
Fundamentals of Object Oriented Programming
Software Architecture
Maths for Information Technology
Statistics
Programming and Design Principals (Python for Data Analysis)
Database Methods
Statistics
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 leads to 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 possible progression route, click below:
| QQI Code |
| 5M0529 |
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:
Investigative
The Investigative person will usually find a particular area of science to be of interest. They are inclined toward intellectual and analytical activities and enjoy observation and theory. They may prefer thought to action, and enjoy the challenge of solving problems with sophiscticated technology. These types prefer mentally stimulating environments and often pay close attention to developments in their chosen field.
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
A range of careers in data analytics, software development, and related fields.