Postgraduate Diploma in Artificial Intelligence

Postgraduate Diploma in Artificial Intelligence:

Online & interactive course content, discussion forum & webinars

Part-time study

NFQ Level 9 – 60 ECTS Credits

Complete Postgraduate Diploma within 1 year

Certificate awarded by The University of East London

Entry Requirements

Academic Requirements: Bachelor’s degree with minimum Second Class (2:2) in Computer Science (or equivalent degree with significant maths and computing content).

You may need to provide evidence of your English language ability

Why choose this course:

This Post Graduate Diploma is designed for those who want to pursue a career in Artificial Intelligence (specialising in machine learning and deep learning).

The programme provides students with deeper knowledge and advanced skills that will allow them to contribute to the design and development of machine learning algorithms for automation, predictive modelling, and decision-making.

*UK level 7 comparable to level 9 on Irish national

What you will learn

Comprehensive AI Knowledge: Gain a deep understanding of core AI concepts, including intelligent agents, machine learning, and deep learning, alongside contemporary tools and technologies.

Practical AI Application: Develop the ability to analyze, design, and implement AI solutions for real-world problems across diverse sectors like finance, medical, and technology, utilizing state-of-the-art programming languages and intelligent algorithms.

Critical and Innovative Thinking: Cultivate independent thinking, critical analysis, and innovative problem-solving skills to address complex AI challenges effectively.

Study is part-time and online. Online delivery is supported by an induction day at the beginning of the programme. The informative live webinars (two evenings per week) will aim to develop participants’ ability to apply knowledge and understanding of Artificial Intelligence. Participants may have to attend interactive group sessions (Saturdays). These sessions facilitate discussion and debate and promote the transference of skills and knowledge into the workplace, with guest lectures contributing to these important workshop sessions.

Advance your career in a wide range of roles, including:  Machine Learning Engineer, AI Engineer, Data Scientist, Data Engineer, Software Engineer, Data Analyst or Computer Scientist.

Programme Modules

Modules include Artificial Intelligence and Machine Vision, Machine Learning and Big Data, Big Data Analytics and Intelligent Systems.

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.

Entry Requirements

Academic Requirements: Bachelor’s degree with minimum Second Class (2:2) in Computer Science (or equivalent degree with significant maths and computing content).

You may need to provide evidence of your English language ability.

If English isn’t your first language, you may need to provide evidence of your English language ability. We accept IELTS at 6.0 overall with no individual component below 5.5 or equivalent.

Qualification Gained
Postgraduate Diploma in Artificial Intelligence FHEQ level 7 comparable to NFQ level 9