Artificial Intelligence - Online

Artificial Intelligence Course – Study AI Online



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.



Why Study Artificial Intelligence?

• 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.



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.

Artificial Intelligence and Machine Vision:

This module aims to provide students with conceptual knowledge in Artificial Intelligence (AI), computer vision and natural language processing (NLP). The module equips the students to develop competencies in understanding fundamental AI concepts, knowledge of image processing techniques and proficiency in NLP concepts, for the design and development of computing applications.



Main topics of study:

History of AI

Machine Learning

Deep Learning

Neural Networks Modelling

Image Processing

Natural Language Processing

Ethical, Legal, Privacy and Social Issues within AI applications



Machine Learning and Big Data:

This module aims to provide students with the core theoretical and practical background required for using machine learning techniques for big data analytics and developing large-scale intelligent algorithms for big data systems.



Main topics of study:

Introduction to Data Mining for Big Data

Big Data Processing

Big Data Classification

Big Data Clustering

Machine Learning applications for Big Data Analytics

Legal, Social, and Ethical issues within Machine Learning on Big Data



Big Data Analytics

This module aims to provide students with the core theoretical and practical background required for big data analytics and developing big data systems. It will provide you with an insight into areas of big data management and advanced analytics. You will develop in-depth practical skills through using tools and techniques from the forefront of the emerging field of data analytics.



Main topics of study:

Introduction to Big Data

Setting up Big Data Stack

Big Data Applications

Data Acquisition

Big Data Storage

Batch Analysis

Real-time Analysis

Advanced Analytics

Big Data Visualisation

Legal, Social, Ethical Issues with Big Data Applications



Intelligent Systems

This module aims to provide students with practical knowledge in Intelligent system design and development. The module equips the students to develop competencies in intelligent agents, machine learning, and deep learning techniques for solving the advance real-world applications.



Main topics of study:

Intelligent agents, History, Motivation

Multiagent Systems

Designing Intelligent Systems using Machine/Deep Learning

Probabilistic learning and Bayesian

Computational Finance/Fintech in machine/deep learning

Natural Language Processing (NLP), Search Engines

Predictive modelling, Intelligent decision making and recommender systems

Advance topics & tools in deep learning (Reinforcement learning)

Ethical, Legal, Privacy and Social Issues within Intelligent agents and deep learning

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.

1 year part-time online delivery.



The 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).

Start Date: October 2026.



How to Apply:

This course is now open to applications through Springboard (see "Application Weblink" below).