Start date: March 2025
*UK level 7 comparable to level 9 on Irish national
Post-Graduate Diploma in Big Data Technologies
This Internet of Things (IoT) course provides advanced theoretical knowledge and hands-on experience in designing and engineering the next generation of smart, connected systems. You’ll explore key topics such as hardware/software co-design, embedded processor programming, IoT networking, and sensor data analysis using AI and data science techniques. Core modules include Internet of Things, Machine Learning on Big Data, Cloud Computing, and Computer Security. By the end of the programme, you’ll have the technical expertise and professional skills needed to innovate and excel in the rapidly evolving IoT and IT industries.
Learning Outcomes
- Investigate and develop projects with the confines of the legal, ethical, social and professional context of Internet of Things;
- Develop knowledge and research skills in Internet of Things to empower you as a
- professional;
- Gain advanced theoretical and specialist practical knowledge of progressive and emerging topics;
- Create innovative solutions through the integration of a range of standard and specialised Machine Learning on Big Data, Cloud Computing and Security aspects.
- Develop the professional skills necessary for a senior career in the IT industry
Programme Modules
Modules include: Internet of Things, Machine Learning on Big Data, Cloud Computing and Computing Security.
Advance your career in a range of roles including; Machine Learning Engineer, Senior IT consultant, Network Engineer, Senior Project Manager, System Engineer and more.
How distance learning works
Chevron is committed to the delivery of a high-quality learning experience through blended learning. Our approach combines the flexibility of learning online, with classroom-based support and instruction, drawing on the strengths of each learning space. We have considerable expertise in flexible study and our online interactive learning management system is designed to enable you to study at your own pace.
All materials such as course notes, supplementary reading documentation, online videos, and assignment briefs are contained in folders within each module. You will also have access to our online student community, webinars, and discussion forums to foster communication with our other students to discuss and resolve issues related to your studies.
Online delivery is supported by an induction day at the beginning of the programme and 5 interactive Saturday sessions throughout the course.
Student support
At Chevron College we are committed to the ongoing needs of our students and offer unrivalled support to all our learners:
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- Highly qualified and experienced tutors.
- Online & interactive course content, discussion forum & webinars – study when it suits you.
- Scheduled weekly webinars.
- The opportunity to avail of formative feedback on draft assessments.
- Studies Advisor to assist with study plan and skills, in addition to referencing support.
- Recommended reading uploaded on online platform.
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Entry Requirements
Bachelor’s degree 2.2 or above, in Computer Science (or equivalent degree with significant maths and computing content).
Leaving Certificate Maths and English.
You may need to provide evidence of your English language ability.
