Career Advancement
With our advanced curriculum that focuses on professional and personal growth, students are better prepared to compete and advance their careers.
Autumn
(May - Oct)
/ Semester 1
Module: CC7178
Credits: 20
This module aims to provide students with an appreciation of the benefits Cybersecurity Management provides within a business environment and over cyberspace. This includes the choice and application of appropriate risk assessment and risk control techniques, the understanding of security standards & procedures, coupled with the application of cybersecurity technology & security measures in a business setting.
Module: CC7169
Credits: 20
The module provides an understanding of project management in the context of software development. Students will gain an overview of a standard project management method (e.g. Prince 2); an understanding of the software development process and overview of a variety of specific system/software development methods; knowledge of a range of planning techniques; basic skills in financial evaluation; an understanding of team management issues
Spring
(Nov - Feb)
/ Semester 2
Module: CS7050
Credits: 20
This module introduces key concepts and techniques used to develop intelligent systems. Students explore problem-solving, search, reasoning, knowledge representation, and practical applications of Artificial Intelligence.
Module: CS7052
Credits: 20
This module develops knowledge and practical skills in building systems that learn from data. Students explore supervised and unsupervised learning, model development, evaluation, and the application of machine learning to real-world problems.
Autumn
(May - Oct)
/ Semester 3
Module: CC7009
Credits: 20
This module develops advanced knowledge of neural networks and deep learning. Students design, train, and evaluate intelligent models capable of solving complex prediction, classification, and pattern-recognition problems.
Module: CT7160
Credits: 20
This module explores technologies that enable computers to interpret and understand visual information. Students apply image processing, machine learning, and deep learning techniques to practical computer vision applications.
Spring
(Nov - Feb)
/ Semester 4 & 5
Module: CT7P01
Credits: 60
This module provides students with the opportunity to undertake a substantial independent project within their chosen area of specialisation. Students apply advanced research, technical, analytical, and project management skills to investigate a significant problem, develop and evaluate an appropriate solution, and professionally communicate their findings.
The MSc IT with specialisation in Artificial Intelligence (AI) is designed to help you become an expert and innovator in the growing field of AI. As industries around the world increasingly rely on AI, this programme gives you the knowledge and skills needed to succeed. You will study important topics like Neural Networks, Deep Learning, Natural Language Processing (NLP), and Computer Vision. You’ll also learn the basics of Machine Learning, which are essential for creating AI models.
The programme includes hands-on projects where you’ll work with industry leaders on real-world AI solutions. It also teaches you about the ethics of AI, ensuring you can create responsible and impactful technologies. The research-based approach prepares you for future studies or leadership roles in AI research and development. This programme is a great way to prepare for a career in a fast-growing field where you can lead and innovate in AI.
*The full course is delivered by Islington College in direct partnership with London Metropolitan University.
A complete bachelor’s degree with a minimum of 2.2 CGPA or equivalent.
Students may complete 2 years of work experience during their studies.
Students should have completed their higher secondary and previous higher education (e.g. bachelor’s degree) where the medium of instruction and assessment is in English.
With our advanced curriculum that focuses on professional and personal growth, students are better prepared to compete and advance their careers.
With our expansive alumni network, international degree, and valuable experience, students can stay competitive and pursue opportunities with leading employers worldwide.
With our partnership with London Metropolitan University and our teaching methods, students stand a higher chance of securing better job opportunities.